Spaces:
Sleeping
Sleeping
Commit
•
c575e18
1
Parent(s):
b916cdf
Full app
Browse files- Dockerfile +2 -2
- main.py +15 -2
- static/index.html +36 -0
- static/script.js +21 -0
- static/style.css +45 -0
Dockerfile
CHANGED
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@@ -6,6 +6,6 @@ COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY
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CMD ["uvicorn", "
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY . .
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
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main.py
CHANGED
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@@ -1,7 +1,20 @@
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from fastapi import FastAPI
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app = FastAPI()
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@app.get("/")
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def
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return
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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 transformers import pipeline
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app = FastAPI()
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pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
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@app.get("/infer_t5")
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def t5(input):
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output = pipe_flan(input)
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return {"output": output[0]["generated_text"]}
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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
ADDED
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@@ -0,0 +1,36 @@
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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 🤗 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-gen">
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<h1>Text generation using Flan T5</h1>
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<p>
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Model:
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<a
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href="https://huggingface.co/google/flan-t5-small"
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rel="noreferrer"
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target="_blank"
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>google/flan-t5-small</a
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>
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</p>
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<form class="text-gen-form">
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<label for="text-gen-input">Text prompt</label>
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<input
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id="text-gen-input"
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type="text"
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value="English: Translate There are many ducks. German:"
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/>
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<button id="text-gen-submit">Submit</button>
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<p class="text-gen-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
ADDED
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const textGenForm = document.querySelector('.text-gen-form');
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const translateText = async (text) => {
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const inferResponse = await fetch(`infer_t5?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 textGenInput = document.getElementById('text-gen-input');
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const textGenParagraph = document.querySelector('.text-gen-output');
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try {
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textGenParagraph.textContent = await translateText(textGenInput.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: 25rem;
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margin: 0 auto;
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}
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input {
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width: 70%;
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}
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button {
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cursor: pointer;
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}
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.text-gen-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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