Update app.py

#respond commented to clarify that the simple_respond function handles user inputs in the gr.ChatInterface. It improves code readability without altering functionality. The type="messages" ensures the chatbot displays messages in a user-friendly, bubble-style format. This change is useful for better understanding and maintenance of the code.

app.py

@@ -1,63 +1,25 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+#-- commeting this line as it is not required in this context- By Bismit on Jan 10th, 2025
+#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
+This chatbot is based on the contents of https://www.gradio.app/guides/creating-a-chatbot-fast
 """
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
+def simple_respond(message,history):
+    return f "I always respond with 'Hi,' regardless of the message that is passed to me, like {message}"
 
 """
 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="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)",
-        ),
-    ],
-)
+    # commented by Bismit because respond is a generic term, whereas simple_respond is the actual function defined in the code to handle and return chatbot responses.
+    #respond
+    simple_respond,
+    type="messages"
+    )
 
 
 if __name__ == "__main__":