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Update app.py
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app.py
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from
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app =
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@app.
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def
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return
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@app.
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def predict():
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# Example of processing input
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input_text = request.form['input_text']
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# Perform some NLP tasks here (e.g., using transformers library)
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output_text = "This is the output based on input: " + input_text
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return
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if __name__ == '__main__':
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app.run(debug=True)
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from fastapi import FastAPI, Form, Request
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from fastapi.responses import HTMLResponse
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from fastapi.templating import Jinja2Templates
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app = FastAPI()
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templates = Jinja2Templates(directory="templates")
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@app.get("/", response_class=HTMLResponse)
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async def read_form(request: Request):
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return templates.TemplateResponse("index.html", {"request": request})
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@app.post("/predict")
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async def predict(input_text: str = Form(...)):
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# Example of processing input
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output_text = "This is the output based on input: " + input_text
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return {"output": output_text}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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