Update app.py

app.py

@@ -1,9 +1,12 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Instantiate the client with the mental health model or any suitable model.
+"""
+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("HuggingFaceH4/zephyr-7b-beta")
 
+
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -12,22 +15,18 @@ def respond(
     temperature,
     top_p,
 ):
-    # Define the system message to guide the assistant's behavior
     messages = [{"role": "system", "content": system_message}]
 
-    # Add history of conversation to maintain context
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
 
-    # Add the user's current message to the conversation context
     messages.append({"role": "user", "content": message})
 
     response = ""
 
-    # Stream the response token by token
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
@@ -36,22 +35,18 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
+
         response += token
         yield response
 
-# Customize the system message for mental health
-default_system_message = """
-You are a compassionate mental health specialist trained to listen empathetically and offer support. 
-When engaging with users, make sure to respond with kindness and provide general emotional support. 
-Avoid giving specific medical or clinical advice, but offer guidance, validate feelings, and suggest appropriate resources when needed. 
-Encourage open conversations and create a safe, non-judgmental space for the user to share.
-"""
 
-# Create the Gradio interface with additional parameters for user configuration
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+"""
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value=default_system_message, label="System Message (Mental Health Specialist)"),
+        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(
@@ -64,5 +59,6 @@ demo = gr.ChatInterface(
     ],
 )
 
+
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()