Create app.py

app.py

@@ -0,0 +1,20 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+app = FastAPI()
+
+# Load model & tokenizer
+model_name = "your-username/your-finetuned-model"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+class Query(BaseModel):
+    text: str
+
+@app.post("/generate")
+def generate_text(query: Query):
+    inputs = tokenizer(query.text, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=100)
+    return {"response": tokenizer.decode(outputs[0], skip_special_tokens=True)}