Update app.py

app.py

@@ -1,11 +1,8 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-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("TheBloke/claude2-alpaca-13B-GGUF")
-
+# Initialize the inference client with the model ID
+client = InferenceClient(model="umd-zhou-lab/claude2_alpaca", token=None)  # Add your HF token if needed
 
 def respond(
     message,
@@ -15,6 +12,18 @@ def respond(
     temperature,
     top_p,
 ):
+    """
+    Generate responses for the chatbot using the Claude2 Alpaca model.
+    
+    Args:
+        message (str): The current user input message
+        history (list): List of previous conversation turns
+        system_message (str): System prompt to guide the model's behavior
+        max_tokens (int): Maximum number of tokens to generate
+        temperature (float): Controls randomness in generation
+        top_p (float): Controls nucleus sampling
+    """
+    # Format the conversation history into messages
     messages = [{"role": "system", "content": system_message}]
 
     for val in history:
@@ -27,6 +36,7 @@ def respond(
 
     response = ""
 
+    # Stream the response tokens
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
@@ -35,30 +45,42 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Create the Gradio interface
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Textbox(
+            value="You are a friendly Chatbot trained on the Claude2 Alpaca dataset. Provide helpful and informative responses.",
+            label="System message"
+        ),
+        gr.Slider(
+            minimum=1,
+            maximum=2048,
+            value=512,
+            step=1,
+            label="Max new tokens"
+        ),
+        gr.Slider(
+            minimum=0.1,
+            maximum=4.0,
+            value=0.7,
+            step=0.1,
+            label="Temperature"
+        ),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,
             value=0.95,
             step=0.05,
-            label="Top-p (nucleus sampling)",
+            label="Top-p (nucleus sampling)"
         ),
     ],
+    title="Claude2 Alpaca Chatbot",
+    description="A conversational AI powered by the Claude2 Alpaca model",
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()