Update app.py
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app.py
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from fastapi import FastAPI
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app = FastAPI()
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from fastapi import FastAPI
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from pydantic import BaseModel
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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app = FastAPI()
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# Replace with your actual model repo
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MODEL_NAME = "fansa34/finetunedModel"
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# Load model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
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class AskRequest(BaseModel):
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question: str
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@app.post("/ask")
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def ask(req: AskRequest):
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inputs = tokenizer(req.question, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=100)
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answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return {"answer": answer}
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