Update app.py

app.py

@@ -4,12 +4,10 @@ from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
 from huggingface_hub import InferenceClient
 
-# Hosted model on Hugging Face (NOT GGUF)
+# Hosted model on Hugging Face (serverless inference)
 MODEL_ID = "microsoft/Phi-3-mini-4k-instruct"
 
-# If you use a private or high-usage model, set a token as a secret in the Space
-HF_TOKEN = os.getenv("HF_TOKEN", None)
-
+HF_TOKEN = os.getenv("HF_TOKEN", None)  # optional if model is fully public
 client = InferenceClient(model=MODEL_ID, token=HF_TOKEN)
 
 app = FastAPI()
@@ -17,10 +15,10 @@ app = FastAPI()
 class HumanizeRequest(BaseModel):
     text: str
 
-# CORS so Vercel frontend can call this API
+# CORS so your Vercel frontend can call this API
 app.add_middleware(
     CORSMiddleware,
-    allow_origins=["*"],  # or ["https://your-vercel-app.vercel.app"]
+    allow_origins=["*"],  # later you can set ["https://formatai.live"]
     allow_credentials=True,
     allow_methods=["*"],
     allow_headers=["*"],