Update app.py

app.py

@@ -1,12 +1,11 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 from transformers import pipeline
-from starlette.middleware.sessions import SessionMiddleware
 
 # Ganti dengan model kamu di Hugging Face
 pipe = pipeline("text-classification", model="Ranti0603/job_classifier_model_v2")
 
-def respond(message, history, hf_token: gr.OAuthToken):
+def respond(message, history):
     result = pipe(message, truncation=True)[0]
     label = result["label"]
     score = round(result["score"] * 100, 2)
@@ -25,8 +24,6 @@ with gr.Blocks() as demo:
                 type="messages",
                 chatbot=gr.Chatbot(height=400),
             )
-
-demo.app.add_middleware(SessionMiddleware, secret_key="kominfo_123456_aitf_prog")
-
+             
 if __name__ == "__main__":
     demo.launch()