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from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from transformers import AutoModelForCausalLM, AutoTokenizer
app = FastAPI()
# Load your fine-tuned model and tokenizer
model = AutoModelForCausalLM.from_pretrained("Hadeel11/fine-tuned-model")
tokenizer = AutoTokenizer.from_pretrained("Hadeel11/fine-tuned-model")
class Query(BaseModel):
question: str
contexts: list
@app.post("/predict/")
async def predict(query: Query):
inputs = tokenizer(query.question, return_tensors="pt")
outputs = model.generate(**inputs)
answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
return {"answer": answer}
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