Update app.py

app.py

@@ -2,41 +2,55 @@ 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
+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("unsloth/Llama-3.2-1B-Instruct")
 
 
 def respond(
     message,
-    history: list[tuple[str, str]],
-    # system_message,
-    # max_tokens,
-    # temperature,
-    # top_p,
+    history: list[tuple[str, str]] = None,  # Default history as None to avoid mutable issues
 ):
-    
-    system_message = "You are a Dietician Assistant specializing in providing general guidance on diet, "
-    "nutrition, and healthy eating habits. Answer questions thoroughly with scientifically "
-    "backed advice, practical tips, and easy-to-understand explanations. Keep in mind that "
-    "your role is to assist, not replace a registered dietitian, so kindly remind users to "
-    "consult a professional for personalized advice when necessary."
+    if history is None:
+        history = [
+            (
+                None,
+                "Hi there! I'm your Dietician Assistant, here to help with general advice on diet, "
+                "nutrition, and healthy eating habits. Let's explore your questions.",
+            )
+        ]
+
+    # System message describing the assistant's role
+    system_message = (
+        "You are a Dietician Assistant specializing in providing general guidance on diet, "
+        "nutrition, and healthy eating habits. Answer questions thoroughly with scientifically "
+        "backed advice, practical tips, and easy-to-understand explanations. Keep in mind that "
+        "your role is to assist, not replace a registered dietitian, so kindly remind users to "
+        "consult a professional for personalized advice when necessary."
+    )
+
+    # Define model parameters
     max_tokens = 512
     temperature = 0.7
     top_p = 0.95
-    
+
+    # Initialize the message history with the system message
     messages = [{"role": "system", "content": system_message}]
 
+    # Add previous history to the message chain
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
 
+    # Append the new user message
     messages.append({"role": "user", "content": message})
 
     response = ""
 
+    # Generate the response in a streaming fashion
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
@@ -45,33 +59,15 @@ 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
-"""
+# Set up the Gradio ChatInterface with an initial history
 with gr.Blocks() as demo:
-    chat = 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.Slider(
-        #         minimum=0.1,
-        #         maximum=1.0,
-        #         value=0.95,
-        #         step=0.05,
-        #         label="Top-p (nucleus sampling)",
-        #     ),
-        # ],
-    )
-    # Send a default message when the interface loads
-    chat.send_message("Hi there! I'm your Dietician Assistant, here to help you with general advice on diet, nutrition, and healthy eating habits. Let's explore your questions.")
-
+    gr.ChatInterface(respond, value=[("None", 
+        "Hi there! I'm your Dietician Assistant, here to help with general advice on diet, "
+        "nutrition, and healthy eating habits. Let's explore your questions.")])
 
 if __name__ == "__main__":
     demo.launch()