Create app.py

app.py

@@ -0,0 +1,32 @@
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse, FileResponse
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import uvicorn
+
+app = FastAPI()
+
+# Carica il modello Hugging Face
+model_name = "microsoft/DialoGPT-small"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Servire il frontend statico
+@app.get("/")
+async def serve_index():
+    return FileResponse("static/index.html")
+
+# API per la chat
+@app.post("/chat")
+async def chat(request: Request):
+    data = await request.json()
+    prompt = data.get("prompt", "")
+
+    # Tokenizzazione e generazione della risposta
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs["input_ids"], max_length=50)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    return JSONResponse({"response": response})
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=7860)