Add app.py file

app.py

@@ -0,0 +1,20 @@
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+app = FastAPI()
+
+model_name = "Hadeel11/fine-tuned-model"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+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}