Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-
 def respond(
     message,
     history: list[dict[str, str]],
@@ -14,16 +13,17 @@ def respond(
     """
     For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
     """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+    # Use the correct ERNIE model
+    client = InferenceClient(token=hf_token.token, model="baidu/ERNIE-4.5-VL-28B-A3B-PT")  # <-- Update this line with the desired model name
 
+    # Prepare the conversation history
     messages = [{"role": "system", "content": system_message}]
-
     messages.extend(history)
-
     messages.append({"role": "user", "content": message})
 
     response = ""
 
+    # Streaming response handling
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
@@ -40,9 +40,7 @@ def respond(
         yield response
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Gradio chatbot interface setup
 chatbot = gr.ChatInterface(
     respond,
     type="messages",
@@ -60,11 +58,11 @@ chatbot = gr.ChatInterface(
     ],
 )
 
+# Set up the Gradio Blocks interface
 with gr.Blocks() as demo:
     with gr.Sidebar():
-        gr.LoginButton()
+        gr.LoginButton()  # Allows Hugging Face login
     chatbot.render()
 
-
 if __name__ == "__main__":
     demo.launch()