Update app.py

app.py

@@ -1,8 +1,11 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Initialize the inference client with the model ID
-client = InferenceClient(model="umd-zhou-lab/claude2_alpaca", token=None)  # Add your HF token if needed
+# Initialize the inference client with a publicly available chat model
+client = InferenceClient(
+    model="meta-llama/Llama-2-7b-chat-hf",  # Using LLaMA 2 chat model
+    token=None  # Add your HF token if you have access to LLaMA 2
+)
 
 def respond(
     message,
@@ -13,7 +16,7 @@ def respond(
     top_p,
 ):
     """
-    Generate responses for the chatbot using the Claude2 Alpaca model.
+    Generate responses for the chatbot using the LLaMA 2 chat model.
     
     Args:
         message (str): The current user input message
@@ -53,7 +56,7 @@ demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(
-            value="You are a friendly Chatbot trained on the Claude2 Alpaca dataset. Provide helpful and informative responses.",
+            value="You are a helpful and friendly AI assistant. Provide informative and accurate responses.",
             label="System message"
         ),
         gr.Slider(
@@ -65,7 +68,7 @@ demo = gr.ChatInterface(
         ),
         gr.Slider(
             minimum=0.1,
-            maximum=4.0,
+            maximum=2.0,
             value=0.7,
             step=0.1,
             label="Temperature"
@@ -78,9 +81,9 @@ demo = gr.ChatInterface(
             label="Top-p (nucleus sampling)"
         ),
     ],
-    title="Claude2 Alpaca Chatbot",
-    description="A conversational AI powered by the Claude2 Alpaca model",
+    title="LLaMA 2 Chatbot",
+    description="A conversational AI powered by Meta's LLaMA 2 model"
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(share=True)  # Added share=True to create a public link