Create app.py

app.py

@@ -0,0 +1,17 @@
+from fastapi import FastAPI
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "mynuddin/chatbot"  
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name).to("cpu")  
+
+app = FastAPI()
+
+@app.post("/generate")
+def generate_text(prompt: str):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    with torch.no_grad():
+        output = model.generate(**inputs, max_length=128)
+    generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+    return {"generated_query": generated_text}