Update app.py

app.py

@@ -6,7 +6,6 @@ For more information on `huggingface_hub` Inference API support, please check th
 """
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -23,7 +22,13 @@ def respond(
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
 
-    messages.append({"role": "user", "content": message})
+    # Modify the prompt based on whether JSON output is requested
+    if "json" in message.lower():
+        modified_message = f"You are the best generator of gamification content. Your content is always engaging and awesome. Generate the following in JSON format: {message}"
+    else:
+        modified_message = f"You are a friendly and helpful assistant. {message}"
+
+    messages.append({"role": "user", "content": modified_message})
 
     response = ""
 
@@ -45,7 +50,7 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(value="You are the best generator of gamification content. Your content is always engaging and awesome. You generate JSON data when asked.", 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(
@@ -58,6 +63,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()