Update app.py

app.py

@@ -1,17 +1,22 @@
 import gradio as gr
 
-# Function to interact with the model
+# Load your LLaMA model using gr.load
+model = gr.load("models/meta-llama/Llama-3.2-1B")
+
+# Function to generate responses from the model
 def chatbot_response(input_text):
-    # Here you would use your model for inference
-    # This is a placeholder for your actual model's prediction logic
-    response = f"Model Response: {input_text}"
+    # Call the model directly through gr.load, assuming the model accepts simple text input
+    response = model(input_text)
     return response
 
 # Create the Gradio interface
 with gr.Blocks() as demo:
-    chatbot = gr.Chatbot()
+    chatbot = gr.Chatbot()  # This is for displaying the conversation
     with gr.Row():
-        txt = gr.Textbox(show_label=False, placeholder="Enter text and press Enter").style(container=False)
+        txt = gr.Textbox(show_label=False, placeholder="Enter your message and press Enter").style(container=False)
+    
+    # When the user submits input, call the chatbot response function
     txt.submit(chatbot_response, txt, chatbot)
 
+# Launch the Gradio interface
 demo.launch()