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add static files and update main.py
Browse files- main.py +9 -1
- static/index.html +27 -0
- static/script.js +21 -0
- static/style.css +45 -0
main.py
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@@ -1,4 +1,6 @@
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from fastapi import FastAPI
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from pydantic import BaseModel
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import spacy
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from spacy.matcher import Matcher
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class TextInput(BaseModel):
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text: str
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@app.
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def score_text(text_input: TextInput):
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"""Endpoint to score text for uncertain statements using spaCy Matcher."""
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# Load the text into spaCy's nlp object
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@@ -36,3 +38,9 @@ def score_text(text_input: TextInput):
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# Return the score
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return {"score": score, "uncertain_statements": uncertain_statements}
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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from pydantic import BaseModel
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import spacy
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from spacy.matcher import Matcher
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class TextInput(BaseModel):
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text: str
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@app.get("/score_text")
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def score_text(text_input: TextInput):
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"""Endpoint to score text for uncertain statements using spaCy Matcher."""
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# Load the text into spaCy's nlp object
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# Return the score
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return {"score": score, "uncertain_statements": uncertain_statements}
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app.mount("/", StaticFiles(directory="static", html=True), name="static")
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@app.get("/")
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def index() -> FileResponse:
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return FileResponse(path="/app/static/index.html", media_type="text/html")
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static/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Fast API with spaCy on 🤗 Space served with Uvicorn</title>
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<link rel="stylesheet" href="style.css" />
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<script type="module" src="script.js"></script>
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</head>
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<body>
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<main>
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<section id="text-spacy">
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<h1>Uncertainty statements</h1>
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<form class="text-spacy-form">
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<label for="text-spacy-input">Text prompt</label>
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<input
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id="text-spacy-input"
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type="text"
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value="Enter a sentence to score it:"
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/>
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<button id="text-spacy-submit">Submit</button>
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<p class="text-spacy-output"></p>
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</form>
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</section>
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</main>
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</body>
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</html>
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static/script.js
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const textGenForm = document.querySelector('.text-spacy-form');
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const translateText = async (text) => {
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const inferResponse = await fetch(`score_text?input=${text}`);
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const inferJson = await inferResponse.json();
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return inferJson.output;
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};
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textGenForm.addEventListener('submit', async (event) => {
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event.preventDefault();
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const textSpacyInput = document.getElementById('text-spacy-input');
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const textSpacyParagraph = document.querySelector('.text-spacy-output');
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try {
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textSpacyParagraph.textContent = await translateText(textSpacyInput.value);
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} catch (err) {
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console.error(err);
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}
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});
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static/style.css
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body {
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--text: hsl(0 0% 15%);
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padding: 2.5rem;
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font-family: sans-serif;
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color: var(--text);
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}
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body.dark-theme {
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--text: hsl(0 0% 90%);
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background-color: hsl(223 39% 7%);
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}
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main {
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max-width: 80rem;
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text-align: center;
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}
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section {
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display: flex;
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flex-direction: column;
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align-items: center;
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}
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a {
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color: var(--text);
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}
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form {
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width: 30rem;
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margin: 0 auto;
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}
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input {
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width: 100%;
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}
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button {
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cursor: pointer;
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}
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.text-spacy-output {
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min-height: 1.2rem;
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margin: 1rem;
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border: 0.5px solid grey;
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}
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