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Update app.py
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app.py
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from fastapi import FastAPI
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from fastapi.responses import HTMLResponse
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from pydantic import BaseModel
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from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
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import os
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app = FastAPI()
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token = os.getenv("token")
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#
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pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)
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@app.get("/", response_class=HTMLResponse)
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def read_root():
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return """
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<html>
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<body>
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<h1>Welcome to the Text Classification App</h1>
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<form action="/classify" method="post">
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<label for="text">Enter text:</label>
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<input type="text" id="text" name="text">
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<button type="submit">Classify</button>
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</form>
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</body>
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</html>
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"""
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@app.post("/classify", response_class=HTMLResponse)
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async def classify(request: Request):
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form_data = await request.form()
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text = form_data.get('text')
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if not text:
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return HTMLResponse(content="<html><body><p>No text provided.</p></body></html>", status_code=400)
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output = pipe(text)
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classification = output[0]['label']
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return HTMLResponse(content=f"""
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<html>
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<body>
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<h1>Classification Result</h1>
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<p>Text: {text}</p>
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<p>Classification: {classification}</p>
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<a href="/">Back</a>
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</body>
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</html>
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""")
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from fastapi import FastAPI
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# Initialize the FastAPI app
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app = FastAPI()
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# Define the welcome endpoint
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@app.get('/')
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async def welcome():
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return "Welcome to our Text Classification API"
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