Update app.py

app.py

@@ -1,17 +1,14 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# --- Response function ---
-def respond(message, history, system_message, max_tokens, temperature, top_p, hf_token_info):
+def respond(message, history, system_message, max_tokens, temperature, top_p, hf_token):
     """
-    Handles streaming responses from Hugging Face Inference API.
-    `hf_token_info` comes from LoginButton: hf_token_info['access_token']
+    Streaming responses from Hugging Face Inference API
     """
-    if not hf_token_info or "access_token" not in hf_token_info:
-        yield "Error: You must log in with your Hugging Face token."
+    if not hf_token:
+        yield "Error: Please provide your Hugging Face token."
         return
 
-    hf_token = hf_token_info["access_token"]
     client = InferenceClient(token=hf_token, model="openai/gpt-oss-20b")
 
     messages = [{"role": "system", "content": system_message}]
@@ -36,8 +33,12 @@ def respond(message, history, system_message, max_tokens, temperature, top_p, hf
 # --- Gradio UI ---
 with gr.Blocks() as demo:
     with gr.Sidebar():
-        gr.Markdown("## Hugging Face Login & Chatbot Settings")
-        login_btn = gr.LoginButton("Log in with Hugging Face", provider="huggingface")
+        gr.Markdown("## Chatbot Settings")
+        hf_token = gr.Textbox(
+            placeholder="Paste your Hugging Face token here",
+            label="Hugging Face Token",
+            type="password"
+        )
         system_message = gr.Textbox(
             value="You are a friendly Chatbot.",
             label="System message"
@@ -59,7 +60,7 @@ with gr.Blocks() as demo:
 
     msg.submit(
         respond,
-        inputs=[msg, state, system_message, max_tokens, temperature, top_p, login_btn],
+        inputs=[msg, state, system_message, max_tokens, temperature, top_p, hf_token],
         outputs=[chatbot],
         show_progress=True
     )