Init Alas

This commit is contained in:
Armin Friedl 2022-07-03 17:29:11 +02:00
commit c810c34b97
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.idea/
api/alas/cardiffnlp/
api/alas/microsoft/
api/alas/wandb

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from enum import Enum
DEFAULT_IMG_OUTPUT_DIR = 'generations'
DALLE_MODEL_MINI = "dalle-mini/dalle-mini/mini-1:v0" # the original DALL-E Mini. Fastest yet suboptimal results
DALLE_MODEL_MEGA = "dalle-mini/dalle-mini/mega-1-fp16:latest" # the advanced version of DALL-E Mini. Requires more compute and VRAM
DALLE_MODEL_MEGA_FULL = "dalle-mini/dalle-mini/mega-1:latest" # DALL-E Mega. Warning: requires significantly more storage and GPU RAM
DALLE_COMMIT_ID = None
# VQGAN model
VQGAN_REPO = "dalle-mini/vqgan_imagenet_f16_16384"
VQGAN_COMMIT_ID = "e93a26e7707683d349bf5d5c41c5b0ef69b677a9"
# We can customize generation parameters (see https://huggingface.co/blog/how-to-generate)
GEN_TOP_K = None
GEN_TOP_P = None
TEMPERATURE = None
COND_SCALE = 10.0
class ModelSize(Enum):
MINI = "Mini"
MEGA = "Mega"
MEGA_FULL = "Mega_full"

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import os
import random
from functools import partial
import jax
import numpy as np
import jax.numpy as jnp
from PIL import Image
from dalle_mini import DalleBart, DalleBartProcessor
from vqgan_jax.modeling_flax_vqgan import VQModel
from flax.jax_utils import replicate
from flax.training.common_utils import shard_prng_key
import wandb
from .consts import COND_SCALE, DALLE_COMMIT_ID, DALLE_MODEL_MEGA_FULL, DALLE_MODEL_MEGA, DALLE_MODEL_MINI, GEN_TOP_K, \
GEN_TOP_P, TEMPERATURE, VQGAN_COMMIT_ID, VQGAN_REPO, ModelSize
os.environ[
"XLA_PYTHON_CLIENT_ALLOCATOR"] = "platform" # https://github.com/saharmor/dalle-playground/issues/14#issuecomment-1147849318
os.environ["WANDB_SILENT"] = "true"
wandb.init(anonymous="must")
# model inference
@partial(jax.pmap, axis_name="batch", static_broadcasted_argnums=(3, 4, 5, 6, 7))
def p_generate(
tokenized_prompt, key, params, top_k, top_p, temperature, condition_scale, model
):
return model.generate(
**tokenized_prompt,
prng_key=key,
params=params,
top_k=top_k,
top_p=top_p,
temperature=temperature,
condition_scale=condition_scale,
)
# decode images
@partial(jax.pmap, axis_name="batch", static_broadcasted_argnums=(0))
def p_decode(vqgan, indices, params):
return vqgan.decode_code(indices, params=params)
class DalleModel:
def __init__(self, model_version: ModelSize) -> None:
if model_version == ModelSize.MEGA_FULL:
dalle_model = DALLE_MODEL_MEGA_FULL
dtype = jnp.float16
elif model_version == ModelSize.MEGA:
dalle_model = DALLE_MODEL_MEGA
dtype = jnp.float16
else:
dalle_model = DALLE_MODEL_MINI
dtype = jnp.float32
# Load dalle-mini
self.model, params = DalleBart.from_pretrained(
dalle_model, revision=DALLE_COMMIT_ID, dtype=dtype, _do_init=False
)
# Load VQGAN
self.vqgan, vqgan_params = VQModel.from_pretrained(
VQGAN_REPO, revision=VQGAN_COMMIT_ID, _do_init=False
)
self.params = replicate(params)
self.vqgan_params = replicate(vqgan_params)
self.processor = DalleBartProcessor.from_pretrained(dalle_model, revision=DALLE_COMMIT_ID)
def tokenize_prompt(self, prompt: str):
tokenized_prompt = self.processor([prompt])
return replicate(tokenized_prompt)
def eval(self, prompt: str, num_predictions: int):
tokenized_prompt = self.tokenize_prompt(prompt)
# create a random key
seed = random.randint(0, 2 ** 32 - 1)
key = jax.random.PRNGKey(seed)
# generate images
images = []
for i in range(max(num_predictions // jax.device_count(), 1)):
# get a new key
key, subkey = jax.random.split(key)
encoded_images = p_generate(
tokenized_prompt,
shard_prng_key(subkey),
self.params,
GEN_TOP_K,
GEN_TOP_P,
TEMPERATURE,
COND_SCALE,
self.model
)
# remove BOS
encoded_images = encoded_images.sequences[..., 1:]
# decode images
decoded_images = p_decode(self.vqgan, encoded_images, self.vqgan_params)
decoded_images = decoded_images.clip(0.0, 1.0).reshape((-1, 256, 256, 3))
for img in decoded_images:
images.append(Image.fromarray(np.asarray(img * 255, dtype=np.uint8)))
return images
dallE = DalleModel(ModelSize.MINI)

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from transformers import AutoModelForCausalLM, AutoTokenizer, AutoConfig
class DialogGPT:
def __init__(self):
model_name = "microsoft/DialoGPT-large"
self.tokenizer = AutoTokenizer.from_pretrained(model_name)
self.model = AutoModelForCausalLM.from_pretrained(model_name)
self.config = AutoConfig.from_pretrained(model_name)
self.config.save_pretrained(model_name)
self.tokenizer.save_pretrained(model_name)
self.model.save_pretrained(model_name)
def eval(self, text: str) -> str:
# encode the new user input, add the eos_token and return a tensor in Pytorch
new_user_input_ids = self.tokenizer.encode(text + self.tokenizer.eos_token, return_tensors='pt')
# generated a response
chat_history_ids = self.model.generate(new_user_input_ids, pad_token_id=self.tokenizer.eos_token_id)
# pretty print last ouput tokens from bot
return self.tokenizer.decode(chat_history_ids[:, new_user_input_ids.shape[-1]:][0], skip_special_tokens=True)
# Preprocess text (username and link placeholders)
def preprocess(self, text):
new_text = []
for t in text.split(" "):
t = '@user' if t.startswith('@') and len(t) > 1 else t
t = 'http' if t.startswith('http') else t
new_text.append(t)
return " ".join(new_text)
dialogGPT = DialogGPT()

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from transformers import AutoModelForSequenceClassification
from transformers import AutoTokenizer, AutoConfig
import numpy as np
from scipy.special import softmax
class Roberta:
def __init__(self, model_name, labels=None):
self.tokenizer = AutoTokenizer.from_pretrained(model_name)
self.model = AutoModelForSequenceClassification.from_pretrained(model_name)
self.config = AutoConfig.from_pretrained(model_name)
if labels:
self.config.id2label = {
idx: labels[idx]
for idx in range(len(labels))
}
self.config.label2id = {
labels[idx]: idx
for idx in range(len(labels))
}
self.config.save_pretrained(model_name)
self.tokenizer.save_pretrained(model_name)
self.model.save_pretrained(model_name)
def eval(self, text: str) -> dict:
text = self.preprocess(text)
encoded_input = self.tokenizer(text, return_tensors='pt')
output = self.model(**encoded_input)
scores = output[0][0].detach().numpy()
scores = softmax(scores)
ranking = np.argsort(scores)
ranking = ranking[::-1]
return {self.config.id2label[ranking[i]]: scores[ranking[i]].item() for i in range(scores.shape[0])}
# Preprocess text (username and link placeholders)
def preprocess(self, text):
new_text = []
for t in text.split(" "):
t = '@user' if t.startswith('@') and len(t) > 1 else t
t = 'http' if t.startswith('http') else t
new_text.append(t)
return " ".join(new_text)
class Emotion(Roberta):
def __init__(self):
super().__init__("cardiffnlp/twitter-roberta-base-emotion",
labels=["anger", "joy", "optimism", "sadness"])
class Hate(Roberta):
def __init__(self):
super().__init__("cardiffnlp/twitter-roberta-base-hate",
labels=["noHate", "hate"])
class Irony(Roberta):
def __init__(self):
super().__init__("cardiffnlp/twitter-roberta-base-irony",
labels=["noIrony", "irony"])
class Offensive(Roberta):
def __init__(self):
super().__init__("cardiffnlp/twitter-roberta-base-offensive",
labels=["noOffensive", "offensive"])
class Sentiment(Roberta):
def __init__(self):
super().__init__("cardiffnlp/twitter-roberta-base-sentiment",
labels=["negative", "neutral", "positive"])
emotion = Emotion()
hate = Hate()
irony = Irony()
offensive = Offensive()
sentiment = Sentiment()

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import uvicorn
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from evaluators import dialog_gpt
from evaluators import roberta
from evaluators.dalle import dalle
from pydantic import BaseModel
import time
import os
from pathlib import Path
app = FastAPI()
origins = ["*"]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
class RobertaEmotionResponse(BaseModel):
joy: float
sadness: float
anger: float
optimism: float
@app.get("/roberta/emotion", response_model=RobertaEmotionResponse)
def get_emotions(text: str) -> RobertaEmotionResponse:
return roberta.emotion.eval(text)
class RobertaHateResponse(BaseModel):
noHate: float
hate: float
@app.get("/roberta/hate", response_model=RobertaHateResponse)
def get_hate(text: str) -> RobertaHateResponse:
return roberta.hate.eval(text)
class RobertaIronyResponse(BaseModel):
noIrony: float
irony: float
@app.get("/roberta/irony", response_model=RobertaIronyResponse)
def get_irony(text: str) -> RobertaIronyResponse:
return roberta.irony.eval(text)
class RobertaOffensiveResponse(BaseModel):
noOffensive: float
offensive: float
@app.get("/roberta/offensive", response_model=RobertaOffensiveResponse)
def get_offensive(text: str) -> RobertaOffensiveResponse:
return roberta.offensive.eval(text)
class RobertaSentimentResponse(BaseModel):
negative: float
neutral: float
positive: float
@app.get("/roberta/sentiment", response_model=RobertaSentimentResponse)
def get_sentiment(text: str) -> RobertaSentimentResponse:
return roberta.sentiment.eval(text)
@app.get("/dialog/continuation", response_model=str)
def get_continuation(text: str) -> str:
return dialog_gpt.dialogGPT.eval(text)
@app.get("/dalle/generate")
def get_image(text: str):
text_prompt = text
generated_imgs = dalle.dallE.eval(text_prompt, 2)
returned_generated_images = []
dir_name = os.path.join("/home/armin/Desktop/dalle", f"{time.strftime('%Y-%m-%d_%H:%M:%S')}_{text_prompt}")
Path(dir_name).mkdir(parents=True, exist_ok=True)
for idx, img in enumerate(generated_imgs):
img.save(os.path.join(dir_name, f'{idx}.png'), format="png")
print(f"Created {2} images from text prompt [{text_prompt}]")
response = {'generatedImgs': returned_generated_images,
'generatedImgsFormat': "img"}
return response
if __name__ == "__main__":
uvicorn.run(app)

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[tool.poetry]
name = "alas"
version = "0.1.0"
description = ""
authors = ["Armin Friedl <dev@friedl.net>"]
[tool.poetry.dependencies]
python = ">=3.10,<3.11"
fastapi = "^0.78.0"
transformers = "^4.20.1"
torch = "^1.11.0"
scipy = "^1.8.1"
dalle-mini = "^0.1.1"
vqgan-jax = { git = "https://github.com/patil-suraj/vqgan-jax.git", branch = "main" }
[tool.poetry.dev-dependencies]
pytest = "^5.2"
uvicorn = "^0.18.2"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

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from alas_api import __version__
def test_version():
assert __version__ == '0.1.0'

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{
"extends": "next/core-web-vitals"
}

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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.js
# testing
/coverage
# next.js
/.next/
/out/
# production
/build
# misc
.DS_Store
*.pem
# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*
# local env files
.env*.local
# vercel
.vercel

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This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
## Getting Started
First, run the development server:
```bash
npm run dev
# or
yarn dev
```
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
You can start editing the page by modifying `pages/index.tsx`. The page auto-updates as you edit the file.
[API routes](https://nextjs.org/docs/api-routes/introduction) can be accessed on [http://localhost:3000/api/hello](http://localhost:3000/api/hello). This endpoint can be edited in `pages/api/hello.js`.
The `pages/api` directory is mapped to `/api/*`. Files in this directory are treated as [API routes](https://nextjs.org/docs/api-routes/introduction) instead of React pages.
## Learn More
To learn more about Next.js, take a look at the following resources:
- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!
## Deploy on Vercel
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details.

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import {Col, Container, Row, Spinner} from "react-bootstrap";
import {Configuration, DefaultApi} from "../service/openapi";
import {useEffect, useState} from "react";
export default function Continuation(props) {
let [continuation, setContinuation] = useState<string>("")
let [computing, setComputing] = useState<boolean>(false)
const configuration = new Configuration({
basePath: 'http://localhost:8000'
});
const api = new DefaultApi(configuration);
const fetchContinuation = async () => {
try {
setComputing(true)
let resp = await api.getContinuationDialogContinuationGet({text: props.text});
setComputing(false)
return resp;
} catch (error) {
console.error(error);
}
}
useEffect(() => {
fetchContinuation()
.then(r => setContinuation(r));
}, [props])
return (
<Container className={"mt-5"}>
<Row className={"justify-content-center mb-3"}>
<h4 style={{width: "auto"}}>Effective Response</h4>
</Row>
<Row className={"justify-content-center"}>
{computing
? <Spinner animation="border" />
: continuation && continuation !== "\"I\"" && continuation !== '""'
? <figure style={{width: "auto"}}>
<blockquote className="blockquote">
<p>{continuation}</p>
</blockquote>
<figcaption className={"blockquote-footer"}>
use at own risk
</figcaption>
</figure>
: <p className={"text-muted"} style={{width: "auto"}}>Does not compute.</p>
}
</Row>
</Container>
);
}

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import { Configuration, DefaultApi, RobertaEmotionResponse, RobertaHateResponse, RobertaIronyResponse, RobertaOffensiveResponse, RobertaSentimentResponse } from "../service/openapi";
import {Button, Card, Col, Container, Form, FormControl, FormGroup, Row, Table} from "react-bootstrap";
import styles from "../styles/TextInput.module.scss";
import {createRef, FormEvent, forwardRef, useCallback, useEffect, useState} from "react";
import _ from "lodash";
let debounce = _.debounce(async (fn) => await fn(), 400)
export default function TextInput(props) {
const [text, setText] = useState("");
const [emotions, setEmotions] = useState<RobertaEmotionResponse|undefined>(undefined);
const [hate, setHate] = useState<RobertaHateResponse|undefined>(undefined);
const [irony, setIrony] = useState<RobertaIronyResponse|undefined>(undefined);
const [offensive, setOffensive] = useState<RobertaOffensiveResponse|undefined>(undefined);
const [sentiment, setSentiment] = useState<RobertaSentimentResponse|undefined>(undefined);
useEffect(() => { debounce(async () => {
props.textFn(text);
await evaluateInput();
}) }, [text])
const configuration = new Configuration({
basePath: 'http://localhost:8000'
});
const api = new DefaultApi(configuration);
let evaluateInput = async () => {
if(!text) {
setEmotions(undefined);
setHate(undefined);
setIrony(undefined);
setOffensive(undefined);
setSentiment(undefined);
return;
}
try{
const [emotions, hate, irony, offensive, sentiment] = await Promise.all([
api.getEmotionsRobertaEmotionGet({text: text}),
api.getHateRobertaHateGet({ text: text }),
api.getIronyRobertaIronyGet({ text: text }),
api.getOffensiveRobertaOffensiveGet({ text: text }),
api.getSentimentRobertaSentimentGet({ text: text })
])
setEmotions(emotions);
setHate(hate);
setIrony(irony);
setOffensive(offensive);
setSentiment(sentiment);
} catch(error) {
console.error(error)
}
}
return (
<>
<Container fluid={true} className={"bg-primary pb-5"}>
<Container className={"pb-5 pt-2"}>
<Row xs={1} xl={2} className={"justify-content-center"}>
<Col>
<h1 className={`text-light`}>ALAS</h1>
</Col>
</Row>
</Container>
</Container>
<Container>
<Row xs={1} xl={2} className={`pb-5 justify-content-center`}>
<Form className={styles.inputForm}>
<FormGroup controlId="formText">
<FormControl value={text}
placeholder={"Start typing..."}
onChange={(e) => setText(e.target.value)}
className={styles.textBox} as="textarea" />
</FormGroup>
</Form>
</Row>
<Row className={"justify-content-center mb-3"}>
<h4 style={{width: "auto"}}>Analysis</h4>
</Row>
<Row className={"justify-content-center gap-3"}>
<Col className={"flex-grow-0"}>
<Card style={{width: '18rem', height: '100%'}}>
<Card.Body>
<Card.Title className={"border-bottom border-2"}>
Emotion
</Card.Title>
<Table size="sm" borderless={true}>
<tbody>
<tr className={"mt-2"}>
<td>Joy</td>
<td>{emotions?.joy.toFixed(3)}</td>
</tr>
<tr>
<td>Sadness</td>
<td>{emotions?.sadness.toFixed(3)}</td>
</tr>
<tr>
<td>Anger</td>
<td>{emotions?.anger.toFixed(3)}</td>
</tr>
<tr>
<td>Optimism</td>
<td>{emotions?.optimism.toFixed(3)}</td>
</tr>
</tbody>
</Table>
</Card.Body>
</Card>
</Col>
<Col className={"flex-grow-0"}>
<Card style={{width: '18rem', height: '100%'}}>
<Card.Body>
<Card.Title className={"border-bottom border-2"}>
Temper
</Card.Title>
<Table size="sm" borderless={true}>
<tbody>
<tr>
<td>Hate</td>
<td>{hate?.hate.toFixed(3)}</td>
</tr>
<tr>
<td>Irony</td>
<td>{irony?.irony.toFixed(3)}</td>
</tr>
<tr>
<td>Offense</td>
<td>{offensive?.offensive.toFixed(3)}</td>
</tr>
</tbody>
</Table>
</Card.Body>
</Card>
</Col>
<Col className={"flex-grow-0"}>
<Card style={{width: '18rem', height: '100%'}}>
<Card.Body>
<Card.Title className={"border-bottom border-2"}>
Sentiment
</Card.Title>
<Table size="sm" borderless={true}>
<tbody>
<tr>
<td>Negative</td>
<td>{sentiment?.negative.toFixed(3)}</td>
</tr>
<tr>
<td>Neutral</td>
<td>{sentiment?.neutral.toFixed(3)}</td>
</tr>
<tr>
<td>Positive</td>
<td>{sentiment?.positive.toFixed(3)}</td>
</tr>
</tbody>
</Table>
</Card.Body>
</Card>
</Col>
</Row>
</Container>
</>
)
}

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/// <reference types="next" />
/// <reference types="next/image-types/global" />
// NOTE: This file should not be edited
// see https://nextjs.org/docs/basic-features/typescript for more information.

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/** @type {import('next').NextConfig} */
const nextConfig = {
reactStrictMode: true,
}
module.exports = nextConfig

7
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{
"$schema": "./node_modules/@openapitools/openapi-generator-cli/config.schema.json",
"spaces": 2,
"generator-cli": {
"version": "6.0.0"
}
}

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{
"name": "alas-web",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint",
"codegen": "rm -rf service/openapi; openapi-generator-cli generate -i http://localhost:8000/openapi.json -o service/openapi -g typescript-fetch --additional-properties=supportsES6=true,npmVersion=6.9.0,typescriptThreePlus=true"
},
"dependencies": {
"bootstrap": "^5.1.3",
"lodash": "^4.17.21",
"next": "12.1.6",
"react": "18.2.0",
"react-bootstrap": "^2.4.0",
"react-dom": "18.2.0"
},
"devDependencies": {
"@openapitools/openapi-generator-cli": "^2.5.1",
"@types/node": "^18.0.0",
"@types/react": "^18.0.14",
"eslint": "8.18.0",
"eslint-config-next": "12.1.6",
"sass": "^1.53.0"
}
}

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function _about() {
return <div>Test</div>
}
export default _about

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import '../styles/theme.scss'
// pages/_app.js
function MyApp({ Component, pageProps }) {
return (
<Component {...pageProps} />
)
}
export default MyApp

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import NextDocument, {Html, Head, Main, NextScript} from 'next/document'
export default class Document extends NextDocument {
render() {
return (
<Html lang='en'>
<Head/>
<body>
<Main/>
<NextScript/>
</body>
</Html>
)
}
}

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// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
export default function handler(req, res) {
res.status(200).json({ name: 'John Doe' })
}

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import Head from 'next/head'
import TextInput from "../components/TextInput";
import Continuation from '../components/Continuation';
import {useRef, useState} from "react";
export default function Home() {
const [text, setText] = useState<string>("");
// @ts-ignore
return (
<div>
<Head>
<title>Alas, me got ye now</title>
<meta name="description" content="Finally understand what people really say"/>
<link rel="icon" href="/favicon.ico"/>
</Head>
<TextInput textFn={setText} />
<Continuation text={text}/>
</div>
)
}

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<svg width="283" height="64" viewBox="0 0 283 64" fill="none"
xmlns="http://www.w3.org/2000/svg">
<path d="M141.04 16c-11.04 0-19 7.2-19 18s8.96 18 20 18c6.67 0 12.55-2.64 16.19-7.09l-7.65-4.42c-2.02 2.21-5.09 3.5-8.54 3.5-4.79 0-8.86-2.5-10.37-6.5h28.02c.22-1.12.35-2.28.35-3.5 0-10.79-7.96-17.99-19-17.99zm-9.46 14.5c1.25-3.99 4.67-6.5 9.45-6.5 4.79 0 8.21 2.51 9.45 6.5h-18.9zM248.72 16c-11.04 0-19 7.2-19 18s8.96 18 20 18c6.67 0 12.55-2.64 16.19-7.09l-7.65-4.42c-2.02 2.21-5.09 3.5-8.54 3.5-4.79 0-8.86-2.5-10.37-6.5h28.02c.22-1.12.35-2.28.35-3.5 0-10.79-7.96-17.99-19-17.99zm-9.45 14.5c1.25-3.99 4.67-6.5 9.45-6.5 4.79 0 8.21 2.51 9.45 6.5h-18.9zM200.24 34c0 6 3.92 10 10 10 4.12 0 7.21-1.87 8.8-4.92l7.68 4.43c-3.18 5.3-9.14 8.49-16.48 8.49-11.05 0-19-7.2-19-18s7.96-18 19-18c7.34 0 13.29 3.19 16.48 8.49l-7.68 4.43c-1.59-3.05-4.68-4.92-8.8-4.92-6.07 0-10 4-10 10zm82.48-29v46h-9V5h9zM36.95 0L73.9 64H0L36.95 0zm92.38 5l-27.71 48L73.91 5H84.3l17.32 30 17.32-30h10.39zm58.91 12v9.69c-1-.29-2.06-.49-3.2-.49-5.81 0-10 4-10 10V51h-9V17h9v9.2c0-5.08 5.91-9.2 13.2-9.2z" fill="#000"/>
</svg>

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# OpenAPI Generator Ignore
# Generated by openapi-generator https://github.com/openapitools/openapi-generator
# Use this file to prevent files from being overwritten by the generator.
# The patterns follow closely to .gitignore or .dockerignore.
# As an example, the C# client generator defines ApiClient.cs.
# You can make changes and tell OpenAPI Generator to ignore just this file by uncommenting the following line:
#ApiClient.cs
# You can match any string of characters against a directory, file or extension with a single asterisk (*):
#foo/*/qux
# The above matches foo/bar/qux and foo/baz/qux, but not foo/bar/baz/qux
# You can recursively match patterns against a directory, file or extension with a double asterisk (**):
#foo/**/qux
# This matches foo/bar/qux, foo/baz/qux, and foo/bar/baz/qux
# You can also negate patterns with an exclamation (!).
# For example, you can ignore all files in a docs folder with the file extension .md:
#docs/*.md
# Then explicitly reverse the ignore rule for a single file:
#!docs/README.md

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.openapi-generator-ignore
apis/DefaultApi.ts
apis/index.ts
index.ts
models/HTTPValidationError.ts
models/LocationInner.ts
models/RobertaEmotionResponse.ts
models/RobertaHateResponse.ts
models/RobertaIronyResponse.ts
models/RobertaOffensiveResponse.ts
models/RobertaSentimentResponse.ts
models/ValidationError.ts
models/index.ts
runtime.ts

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6.0.0

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import * as runtime from '../runtime';
import {
HTTPValidationError,
HTTPValidationErrorFromJSON,
HTTPValidationErrorToJSON,
RobertaEmotionResponse,
RobertaEmotionResponseFromJSON,
RobertaEmotionResponseToJSON,
RobertaHateResponse,
RobertaHateResponseFromJSON,
RobertaHateResponseToJSON,
RobertaIronyResponse,
RobertaIronyResponseFromJSON,
RobertaIronyResponseToJSON,
RobertaOffensiveResponse,
RobertaOffensiveResponseFromJSON,
RobertaOffensiveResponseToJSON,
RobertaSentimentResponse,
RobertaSentimentResponseFromJSON,
RobertaSentimentResponseToJSON,
} from '../models';
export interface GetContinuationDialogContinuationGetRequest {
text: string;
}
export interface GetEmotionsRobertaEmotionGetRequest {
text: string;
}
export interface GetHateRobertaHateGetRequest {
text: string;
}
export interface GetIronyRobertaIronyGetRequest {
text: string;
}
export interface GetOffensiveRobertaOffensiveGetRequest {
text: string;
}
export interface GetSentimentRobertaSentimentGetRequest {
text: string;
}
/**
*
*/
export class DefaultApi extends runtime.BaseAPI {
/**
* Get Continuation
*/
async getContinuationDialogContinuationGetRaw(requestParameters: GetContinuationDialogContinuationGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<runtime.ApiResponse<string>> {
if (requestParameters.text === null || requestParameters.text === undefined) {
throw new runtime.RequiredError('text','Required parameter requestParameters.text was null or undefined when calling getContinuationDialogContinuationGet.');
}
const queryParameters: any = {};
if (requestParameters.text !== undefined) {
queryParameters['text'] = requestParameters.text;
}
const headerParameters: runtime.HTTPHeaders = {};
const response = await this.request({
path: `/dialog/continuation`,
method: 'GET',
headers: headerParameters,
query: queryParameters,
}, initOverrides);
return new runtime.TextApiResponse(response) as any;
}
/**
* Get Continuation
*/
async getContinuationDialogContinuationGet(requestParameters: GetContinuationDialogContinuationGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<string> {
const response = await this.getContinuationDialogContinuationGetRaw(requestParameters, initOverrides);
return await response.value();
}
/**
* Get Emotions
*/
async getEmotionsRobertaEmotionGetRaw(requestParameters: GetEmotionsRobertaEmotionGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<runtime.ApiResponse<RobertaEmotionResponse>> {
if (requestParameters.text === null || requestParameters.text === undefined) {
throw new runtime.RequiredError('text','Required parameter requestParameters.text was null or undefined when calling getEmotionsRobertaEmotionGet.');
}
const queryParameters: any = {};
if (requestParameters.text !== undefined) {
queryParameters['text'] = requestParameters.text;
}
const headerParameters: runtime.HTTPHeaders = {};
const response = await this.request({
path: `/roberta/emotion`,
method: 'GET',
headers: headerParameters,
query: queryParameters,
}, initOverrides);
return new runtime.JSONApiResponse(response, (jsonValue) => RobertaEmotionResponseFromJSON(jsonValue));
}
/**
* Get Emotions
*/
async getEmotionsRobertaEmotionGet(requestParameters: GetEmotionsRobertaEmotionGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<RobertaEmotionResponse> {
const response = await this.getEmotionsRobertaEmotionGetRaw(requestParameters, initOverrides);
return await response.value();
}
/**
* Get Hate
*/
async getHateRobertaHateGetRaw(requestParameters: GetHateRobertaHateGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<runtime.ApiResponse<RobertaHateResponse>> {
if (requestParameters.text === null || requestParameters.text === undefined) {
throw new runtime.RequiredError('text','Required parameter requestParameters.text was null or undefined when calling getHateRobertaHateGet.');
}
const queryParameters: any = {};
if (requestParameters.text !== undefined) {
queryParameters['text'] = requestParameters.text;
}
const headerParameters: runtime.HTTPHeaders = {};
const response = await this.request({
path: `/roberta/hate`,
method: 'GET',
headers: headerParameters,
query: queryParameters,
}, initOverrides);
return new runtime.JSONApiResponse(response, (jsonValue) => RobertaHateResponseFromJSON(jsonValue));
}
/**
* Get Hate
*/
async getHateRobertaHateGet(requestParameters: GetHateRobertaHateGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<RobertaHateResponse> {
const response = await this.getHateRobertaHateGetRaw(requestParameters, initOverrides);
return await response.value();
}
/**
* Get Irony
*/
async getIronyRobertaIronyGetRaw(requestParameters: GetIronyRobertaIronyGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<runtime.ApiResponse<RobertaIronyResponse>> {
if (requestParameters.text === null || requestParameters.text === undefined) {
throw new runtime.RequiredError('text','Required parameter requestParameters.text was null or undefined when calling getIronyRobertaIronyGet.');
}
const queryParameters: any = {};
if (requestParameters.text !== undefined) {
queryParameters['text'] = requestParameters.text;
}
const headerParameters: runtime.HTTPHeaders = {};
const response = await this.request({
path: `/roberta/irony`,
method: 'GET',
headers: headerParameters,
query: queryParameters,
}, initOverrides);
return new runtime.JSONApiResponse(response, (jsonValue) => RobertaIronyResponseFromJSON(jsonValue));
}
/**
* Get Irony
*/
async getIronyRobertaIronyGet(requestParameters: GetIronyRobertaIronyGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<RobertaIronyResponse> {
const response = await this.getIronyRobertaIronyGetRaw(requestParameters, initOverrides);
return await response.value();
}
/**
* Get Offensive
*/
async getOffensiveRobertaOffensiveGetRaw(requestParameters: GetOffensiveRobertaOffensiveGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<runtime.ApiResponse<RobertaOffensiveResponse>> {
if (requestParameters.text === null || requestParameters.text === undefined) {
throw new runtime.RequiredError('text','Required parameter requestParameters.text was null or undefined when calling getOffensiveRobertaOffensiveGet.');
}
const queryParameters: any = {};
if (requestParameters.text !== undefined) {
queryParameters['text'] = requestParameters.text;
}
const headerParameters: runtime.HTTPHeaders = {};
const response = await this.request({
path: `/roberta/offensive`,
method: 'GET',
headers: headerParameters,
query: queryParameters,
}, initOverrides);
return new runtime.JSONApiResponse(response, (jsonValue) => RobertaOffensiveResponseFromJSON(jsonValue));
}
/**
* Get Offensive
*/
async getOffensiveRobertaOffensiveGet(requestParameters: GetOffensiveRobertaOffensiveGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<RobertaOffensiveResponse> {
const response = await this.getOffensiveRobertaOffensiveGetRaw(requestParameters, initOverrides);
return await response.value();
}
/**
* Get Sentiment
*/
async getSentimentRobertaSentimentGetRaw(requestParameters: GetSentimentRobertaSentimentGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<runtime.ApiResponse<RobertaSentimentResponse>> {
if (requestParameters.text === null || requestParameters.text === undefined) {
throw new runtime.RequiredError('text','Required parameter requestParameters.text was null or undefined when calling getSentimentRobertaSentimentGet.');
}
const queryParameters: any = {};
if (requestParameters.text !== undefined) {
queryParameters['text'] = requestParameters.text;
}
const headerParameters: runtime.HTTPHeaders = {};
const response = await this.request({
path: `/roberta/sentiment`,
method: 'GET',
headers: headerParameters,
query: queryParameters,
}, initOverrides);
return new runtime.JSONApiResponse(response, (jsonValue) => RobertaSentimentResponseFromJSON(jsonValue));
}
/**
* Get Sentiment
*/
async getSentimentRobertaSentimentGet(requestParameters: GetSentimentRobertaSentimentGetRequest, initOverrides?: RequestInit | runtime.InitOverideFunction): Promise<RobertaSentimentResponse> {
const response = await this.getSentimentRobertaSentimentGetRaw(requestParameters, initOverrides);
return await response.value();
}
}

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/* tslint:disable */
/* eslint-disable */
export * from './DefaultApi';

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/* tslint:disable */
/* eslint-disable */
export * from './runtime';
export * from './apis';
export * from './models';

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import { exists, mapValues } from '../runtime';
import {
ValidationError,
ValidationErrorFromJSON,
ValidationErrorFromJSONTyped,
ValidationErrorToJSON,
} from './ValidationError';
/**
*
* @export
* @interface HTTPValidationError
*/
export interface HTTPValidationError {
/**
*
* @type {Array<ValidationError>}
* @memberof HTTPValidationError
*/
detail?: Array<ValidationError>;
}
export function HTTPValidationErrorFromJSON(json: any): HTTPValidationError {
return HTTPValidationErrorFromJSONTyped(json, false);
}
export function HTTPValidationErrorFromJSONTyped(json: any, ignoreDiscriminator: boolean): HTTPValidationError {
if ((json === undefined) || (json === null)) {
return json;
}
return {
'detail': !exists(json, 'detail') ? undefined : ((json['detail'] as Array<any>).map(ValidationErrorFromJSON)),
};
}
export function HTTPValidationErrorToJSON(value?: HTTPValidationError | null): any {
if (value === undefined) {
return undefined;
}
if (value === null) {
return null;
}
return {
'detail': value.detail === undefined ? undefined : ((value.detail as Array<any>).map(ValidationErrorToJSON)),
};
}

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import { exists, mapValues } from '../runtime';
/**
*
* @export
* @interface LocationInner
*/
export interface LocationInner {
}
export function LocationInnerFromJSON(json: any): LocationInner {
return LocationInnerFromJSONTyped(json, false);
}
export function LocationInnerFromJSONTyped(json: any, ignoreDiscriminator: boolean): LocationInner {
return json;
}
export function LocationInnerToJSON(value?: LocationInner | null): any {
return value;
}

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import { exists, mapValues } from '../runtime';
/**
*
* @export
* @interface RobertaEmotionResponse
*/
export interface RobertaEmotionResponse {
/**
*
* @type {number}
* @memberof RobertaEmotionResponse
*/
joy: number;
/**
*
* @type {number}
* @memberof RobertaEmotionResponse
*/
sadness: number;
/**
*
* @type {number}
* @memberof RobertaEmotionResponse
*/
anger: number;
/**
*
* @type {number}
* @memberof RobertaEmotionResponse
*/
optimism: number;
}
export function RobertaEmotionResponseFromJSON(json: any): RobertaEmotionResponse {
return RobertaEmotionResponseFromJSONTyped(json, false);
}
export function RobertaEmotionResponseFromJSONTyped(json: any, ignoreDiscriminator: boolean): RobertaEmotionResponse {
if ((json === undefined) || (json === null)) {
return json;
}
return {
'joy': json['joy'],
'sadness': json['sadness'],
'anger': json['anger'],
'optimism': json['optimism'],
};
}
export function RobertaEmotionResponseToJSON(value?: RobertaEmotionResponse | null): any {
if (value === undefined) {
return undefined;
}
if (value === null) {
return null;
}
return {
'joy': value.joy,
'sadness': value.sadness,
'anger': value.anger,
'optimism': value.optimism,
};
}

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import { exists, mapValues } from '../runtime';
/**
*
* @export
* @interface RobertaHateResponse
*/
export interface RobertaHateResponse {
/**
*
* @type {number}
* @memberof RobertaHateResponse
*/
noHate: number;
/**
*
* @type {number}
* @memberof RobertaHateResponse
*/
hate: number;
}
export function RobertaHateResponseFromJSON(json: any): RobertaHateResponse {
return RobertaHateResponseFromJSONTyped(json, false);
}
export function RobertaHateResponseFromJSONTyped(json: any, ignoreDiscriminator: boolean): RobertaHateResponse {
if ((json === undefined) || (json === null)) {
return json;
}
return {
'noHate': json['noHate'],
'hate': json['hate'],
};
}
export function RobertaHateResponseToJSON(value?: RobertaHateResponse | null): any {
if (value === undefined) {
return undefined;
}
if (value === null) {
return null;
}
return {
'noHate': value.noHate,
'hate': value.hate,
};
}

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import { exists, mapValues } from '../runtime';
/**
*
* @export
* @interface RobertaIronyResponse
*/
export interface RobertaIronyResponse {
/**
*
* @type {number}
* @memberof RobertaIronyResponse
*/
noIrony: number;
/**
*
* @type {number}
* @memberof RobertaIronyResponse
*/
irony: number;
}
export function RobertaIronyResponseFromJSON(json: any): RobertaIronyResponse {
return RobertaIronyResponseFromJSONTyped(json, false);
}
export function RobertaIronyResponseFromJSONTyped(json: any, ignoreDiscriminator: boolean): RobertaIronyResponse {
if ((json === undefined) || (json === null)) {
return json;
}
return {
'noIrony': json['noIrony'],
'irony': json['irony'],
};
}
export function RobertaIronyResponseToJSON(value?: RobertaIronyResponse | null): any {
if (value === undefined) {
return undefined;
}
if (value === null) {
return null;
}
return {
'noIrony': value.noIrony,
'irony': value.irony,
};
}

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import { exists, mapValues } from '../runtime';
/**
*
* @export
* @interface RobertaOffensiveResponse
*/
export interface RobertaOffensiveResponse {
/**
*
* @type {number}
* @memberof RobertaOffensiveResponse
*/
noOffensive: number;
/**
*
* @type {number}
* @memberof RobertaOffensiveResponse
*/
offensive: number;
}
export function RobertaOffensiveResponseFromJSON(json: any): RobertaOffensiveResponse {
return RobertaOffensiveResponseFromJSONTyped(json, false);
}
export function RobertaOffensiveResponseFromJSONTyped(json: any, ignoreDiscriminator: boolean): RobertaOffensiveResponse {
if ((json === undefined) || (json === null)) {
return json;
}
return {
'noOffensive': json['noOffensive'],
'offensive': json['offensive'],
};
}
export function RobertaOffensiveResponseToJSON(value?: RobertaOffensiveResponse | null): any {
if (value === undefined) {
return undefined;
}
if (value === null) {
return null;
}
return {
'noOffensive': value.noOffensive,
'offensive': value.offensive,
};
}

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import { exists, mapValues } from '../runtime';
/**
*
* @export
* @interface RobertaSentimentResponse
*/
export interface RobertaSentimentResponse {
/**
*
* @type {number}
* @memberof RobertaSentimentResponse
*/
negative: number;
/**
*
* @type {number}
* @memberof RobertaSentimentResponse
*/
neutral: number;
/**
*
* @type {number}
* @memberof RobertaSentimentResponse
*/
positive: number;
}
export function RobertaSentimentResponseFromJSON(json: any): RobertaSentimentResponse {
return RobertaSentimentResponseFromJSONTyped(json, false);
}
export function RobertaSentimentResponseFromJSONTyped(json: any, ignoreDiscriminator: boolean): RobertaSentimentResponse {
if ((json === undefined) || (json === null)) {
return json;
}
return {
'negative': json['negative'],
'neutral': json['neutral'],
'positive': json['positive'],
};
}
export function RobertaSentimentResponseToJSON(value?: RobertaSentimentResponse | null): any {
if (value === undefined) {
return undefined;
}
if (value === null) {
return null;
}
return {
'negative': value.negative,
'neutral': value.neutral,
'positive': value.positive,
};
}

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
import { exists, mapValues } from '../runtime';
import {
LocationInner,
LocationInnerFromJSON,
LocationInnerFromJSONTyped,
LocationInnerToJSON,
} from './LocationInner';
/**
*
* @export
* @interface ValidationError
*/
export interface ValidationError {
/**
*
* @type {Array<LocationInner>}
* @memberof ValidationError
*/
loc: Array<LocationInner>;
/**
*
* @type {string}
* @memberof ValidationError
*/
msg: string;
/**
*
* @type {string}
* @memberof ValidationError
*/
type: string;
}
export function ValidationErrorFromJSON(json: any): ValidationError {
return ValidationErrorFromJSONTyped(json, false);
}
export function ValidationErrorFromJSONTyped(json: any, ignoreDiscriminator: boolean): ValidationError {
if ((json === undefined) || (json === null)) {
return json;
}
return {
'loc': ((json['loc'] as Array<any>).map(LocationInnerFromJSON)),
'msg': json['msg'],
'type': json['type'],
};
}
export function ValidationErrorToJSON(value?: ValidationError | null): any {
if (value === undefined) {
return undefined;
}
if (value === null) {
return null;
}
return {
'loc': ((value.loc as Array<any>).map(LocationInnerToJSON)),
'msg': value.msg,
'type': value.type,
};
}

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/* tslint:disable */
/* eslint-disable */
export * from './HTTPValidationError';
export * from './LocationInner';
export * from './RobertaEmotionResponse';
export * from './RobertaHateResponse';
export * from './RobertaIronyResponse';
export * from './RobertaOffensiveResponse';
export * from './RobertaSentimentResponse';
export * from './ValidationError';

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/* tslint:disable */
/* eslint-disable */
/**
* FastAPI
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
export const BASE_PATH = "http://localhost".replace(/\/+$/, "");
export interface ConfigurationParameters {
basePath?: string; // override base path
fetchApi?: FetchAPI; // override for fetch implementation
middleware?: Middleware[]; // middleware to apply before/after fetch requests
queryParamsStringify?: (params: HTTPQuery) => string; // stringify function for query strings
username?: string; // parameter for basic security
password?: string; // parameter for basic security
apiKey?: string | ((name: string) => string); // parameter for apiKey security
accessToken?: string | Promise<string> | ((name?: string, scopes?: string[]) => string | Promise<string>); // parameter for oauth2 security
headers?: HTTPHeaders; //header params we want to use on every request
credentials?: RequestCredentials; //value for the credentials param we want to use on each request
}
export class Configuration {
constructor(private configuration: ConfigurationParameters = {}) {}
set config(configuration: Configuration) {
this.configuration = configuration;
}
get basePath(): string {
return this.configuration.basePath != null ? this.configuration.basePath : BASE_PATH;
}
get fetchApi(): FetchAPI | undefined {
return this.configuration.fetchApi;
}
get middleware(): Middleware[] {
return this.configuration.middleware || [];
}
get queryParamsStringify(): (params: HTTPQuery) => string {
return this.configuration.queryParamsStringify || querystring;
}
get username(): string | undefined {
return this.configuration.username;
}
get password(): string | undefined {
return this.configuration.password;
}
get apiKey(): ((name: string) => string) | undefined {
const apiKey = this.configuration.apiKey;
if (apiKey) {
return typeof apiKey === 'function' ? apiKey : () => apiKey;
}
return undefined;
}
get accessToken(): ((name?: string, scopes?: string[]) => string | Promise<string>) | undefined {
const accessToken = this.configuration.accessToken;
if (accessToken) {
return typeof accessToken === 'function' ? accessToken : async () => accessToken;
}
return undefined;
}
get headers(): HTTPHeaders | undefined {
return this.configuration.headers;
}
get credentials(): RequestCredentials | undefined {
return this.configuration.credentials;
}
}
export const DefaultConfig = new Configuration();
/**
* This is the base class for all generated API classes.
*/
export class BaseAPI {
private middleware: Middleware[];
constructor(protected configuration = DefaultConfig) {
this.middleware = configuration.middleware;
}
withMiddleware<T extends BaseAPI>(this: T, ...middlewares: Middleware[]) {
const next = this.clone<T>();
next.middleware = next.middleware.concat(...middlewares);
return next;
}
withPreMiddleware<T extends BaseAPI>(this: T, ...preMiddlewares: Array<Middleware['pre']>) {
const middlewares = preMiddlewares.map((pre) => ({ pre }));
return this.withMiddleware<T>(...middlewares);
}
withPostMiddleware<T extends BaseAPI>(this: T, ...postMiddlewares: Array<Middleware['post']>) {
const middlewares = postMiddlewares.map((post) => ({ post }));
return this.withMiddleware<T>(...middlewares);
}
protected async request(context: RequestOpts, initOverrides?: RequestInit | InitOverideFunction): Promise<Response> {
const { url, init } = await this.createFetchParams(context, initOverrides);
const response = await this.fetchApi(url, init);
if (response.status >= 200 && response.status < 300) {
return response;
}
throw new ResponseError(response, 'Response returned an error code');
}
private async createFetchParams(context: RequestOpts, initOverrides?: RequestInit | InitOverideFunction) {
let url = this.configuration.basePath + context.path;
if (context.query !== undefined && Object.keys(context.query).length !== 0) {
// only add the querystring to the URL if there are query parameters.
// this is done to avoid urls ending with a "?" character which buggy webservers
// do not handle correctly sometimes.
url += '?' + this.configuration.queryParamsStringify(context.query);
}
const headers = Object.assign({}, this.configuration.headers, context.headers);
Object.keys(headers).forEach(key => headers[key] === undefined ? delete headers[key] : {});
const initOverrideFn =
typeof initOverrides === "function"
? initOverrides
: async () => initOverrides;
const initParams = {
method: context.method,
headers,
body: context.body,
credentials: this.configuration.credentials,
};
const overridedInit: RequestInit = {
...initParams,
...(await initOverrideFn({
init: initParams,
context,
}))
}
const init: RequestInit = {
...overridedInit,
body:
isFormData(overridedInit.body) ||
overridedInit.body instanceof URLSearchParams ||
isBlob(overridedInit.body)
? overridedInit.body
: JSON.stringify(overridedInit.body),
};
return { url, init };
}
private fetchApi = async (url: string, init: RequestInit) => {
let fetchParams = { url, init };
for (const middleware of this.middleware) {
if (middleware.pre) {
fetchParams = await middleware.pre({
fetch: this.fetchApi,
...fetchParams,
}) || fetchParams;
}
}
let response = await (this.configuration.fetchApi || fetch)(fetchParams.url, fetchParams.init);
for (const middleware of this.middleware) {
if (middleware.post) {
response = await middleware.post({
fetch: this.fetchApi,
url: fetchParams.url,
init: fetchParams.init,
response: response.clone(),
}) || response;
}
}
return response;
}
/**
* Create a shallow clone of `this` by constructing a new instance
* and then shallow cloning data members.
*/
private clone<T extends BaseAPI>(this: T): T {
const constructor = this.constructor as any;
const next = new constructor(this.configuration);
next.middleware = this.middleware.slice();
return next;
}
};
function isBlob(value: any): value is Blob {
return typeof Blob !== 'undefined' && value instanceof Blob
}
function isFormData(value: any): value is FormData {
return typeof FormData !== "undefined" && value instanceof FormData
}
export class ResponseError extends Error {
name: "ResponseError" = "ResponseError";
constructor(public response: Response, msg?: string) {
super(msg);
}
}
export class RequiredError extends Error {
name: "RequiredError" = "RequiredError";
constructor(public field: string, msg?: string) {
super(msg);
}
}
export const COLLECTION_FORMATS = {
csv: ",",
ssv: " ",
tsv: "\t",
pipes: "|",
};
export type FetchAPI = WindowOrWorkerGlobalScope['fetch'];
export type Json = any;
export type HTTPMethod = 'GET' | 'POST' | 'PUT' | 'PATCH' | 'DELETE' | 'OPTIONS' | 'HEAD';
export type HTTPHeaders = { [key: string]: string };
export type HTTPQuery = { [key: string]: string | number | null | boolean | Array<string | number | null | boolean> | Set<string | number | null | boolean> | HTTPQuery };
export type HTTPBody = Json | FormData | URLSearchParams;
export type HTTPRequestInit = { headers?: HTTPHeaders; method: HTTPMethod; credentials?: RequestCredentials; body?: HTTPBody }
export type ModelPropertyNaming = 'camelCase' | 'snake_case' | 'PascalCase' | 'original';
export type InitOverideFunction = (requestContext: { init: HTTPRequestInit, context: RequestOpts }) => Promise<RequestInit>
export interface FetchParams {
url: string;
init: RequestInit;
}
export interface RequestOpts {
path: string;
method: HTTPMethod;
headers: HTTPHeaders;
query?: HTTPQuery;
body?: HTTPBody;
}
export function exists(json: any, key: string) {
const value = json[key];
return value !== null && value !== undefined;
}
export function querystring(params: HTTPQuery, prefix: string = ''): string {
return Object.keys(params)
.map(key => querystringSingleKey(key, params[key], prefix))
.filter(part => part.length > 0)
.join('&');
}
function querystringSingleKey(key: string, value: string | number | null | boolean | Array<string | number | null | boolean> | Set<string | number | null | boolean> | HTTPQuery, keyPrefix: string = ''): string {
const fullKey = keyPrefix + (keyPrefix.length ? `[${key}]` : key);
if (value instanceof Array) {
const multiValue = value.map(singleValue => encodeURIComponent(String(singleValue)))
.join(`&${encodeURIComponent(fullKey)}=`);
return `${encodeURIComponent(fullKey)}=${multiValue}`;
}
if (value instanceof Set) {
const valueAsArray = Array.from(value);
return querystringSingleKey(key, valueAsArray, keyPrefix);
}
if (value instanceof Date) {
return `${encodeURIComponent(fullKey)}=${encodeURIComponent(value.toISOString())}`;
}
if (value instanceof Object) {
return querystring(value as HTTPQuery, fullKey);
}
return `${encodeURIComponent(fullKey)}=${encodeURIComponent(String(value))}`;
}
export function mapValues(data: any, fn: (item: any) => any) {
return Object.keys(data).reduce(
(acc, key) => ({ ...acc, [key]: fn(data[key]) }),
{}
);
}
export function canConsumeForm(consumes: Consume[]): boolean {
for (const consume of consumes) {
if ('multipart/form-data' === consume.contentType) {
return true;
}
}
return false;
}
export interface Consume {
contentType: string
}
export interface RequestContext {
fetch: FetchAPI;
url: string;
init: RequestInit;
}
export interface ResponseContext {
fetch: FetchAPI;
url: string;
init: RequestInit;
response: Response;
}
export interface Middleware {
pre?(context: RequestContext): Promise<FetchParams | void>;
post?(context: ResponseContext): Promise<Response | void>;
}
export interface ApiResponse<T> {
raw: Response;
value(): Promise<T>;
}
export interface ResponseTransformer<T> {
(json: any): T;
}
export class JSONApiResponse<T> {
constructor(public raw: Response, private transformer: ResponseTransformer<T> = (jsonValue: any) => jsonValue) {}
async value(): Promise<T> {
return this.transformer(await this.raw.json());
}
}
export class VoidApiResponse {
constructor(public raw: Response) {}
async value(): Promise<void> {
return undefined;
}
}
export class BlobApiResponse {
constructor(public raw: Response) {}
async value(): Promise<Blob> {
return await this.raw.blob();
};
}
export class TextApiResponse {
constructor(public raw: Response) {}
async value(): Promise<string> {
return await this.raw.text();
};
}

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.inputForm {
margin-top: -70px;
}
.textBox {
height: 200px;
font-family: Nunito;
}
@media (max-height: 600px) {
.textBox {
height: 100px;
}
}

18
web/styles/theme.scss Normal file
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/*! Themestr.app `Herbie` Bootstrap 4.3.1 theme */
@import url(https://fonts.googleapis.com/css?family=Nunito:200,300,400,700);
$font-family-base:Nunito;
@import url(https://fonts.googleapis.com/css?family=Crete+Round:200,300,400,700);
$headings-font-family:Crete Round;
$primary:#083358;
$secondary:#F67280;
$success:#0074E4;
$danger:#FF4057;
$info:#74DBEF;
$warning:#FC3C3C;
$light:#F2F2F0;
$dark:#072247;
@import "~bootstrap/scss/bootstrap.scss";
// Add SASS theme customizations here..

30
web/tsconfig.json Normal file
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{
"compilerOptions": {
"target": "es5",
"lib": [
"dom",
"dom.iterable",
"esnext"
],
"allowJs": true,
"skipLibCheck": true,
"strict": false,
"forceConsistentCasingInFileNames": true,
"noEmit": true,
"incremental": true,
"esModuleInterop": true,
"module": "esnext",
"resolveJsonModule": true,
"isolatedModules": true,
"jsx": "preserve",
"moduleResolution": "nodenext"
},
"include": [
"next-env.d.ts",
"**/*.ts",
"**/*.tsx"
],
"exclude": [
"node_modules"
]
}