indent error

app.py

@@ -1,3 +1,56 @@
+# 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
+# """
+# client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct")
+
+# ## None type 
+# def respond(
+#     message: str,
+#     history: list[tuple[str, str]],  # This will not be used
+#     system_message: str,
+#     max_tokens: int,
+#     temperature: float,
+#     top_p: float,
+# ):
+#     messages = [{"role": "system", "content": system_message}]
+    
+#     # Append only the latest user message
+
+
+
+
+
+#     messages.append({"role": "user", "content": message})
+
+#     response = ""
+
+#     try:
+#         # Generate response from the model
+#         for message in client.chat_completion(
+#             messages,
+#             max_tokens=max_tokens,
+#             stream=True,
+#             temperature=temperature,
+#             top_p=top_p,
+#         ):
+#             if message.choices[0].delta.content is not None:
+#                 token = message.choices[0].delta.content
+#                 response += token
+#             yield response
+#     except Exception as e:
+#         yield f"An error occurred: {e}"
+#     ],
+# )
+
+
+# if __name__ == "__main__":
+#     demo.launch()
+
+
+
 import gradio as gr
 from huggingface_hub import InferenceClient
 
@@ -6,7 +59,6 @@ For more information on `huggingface_hub` Inference API support, please check th
 """
 client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct")
 
-## None type 
 def respond(
     message: str,
     history: list[tuple[str, str]],  # This will not be used
@@ -15,40 +67,46 @@ def respond(
     temperature: float,
     top_p: float,
 ):
+    # Build the messages list
     messages = [{"role": "system", "content": system_message}]
-    
-    # Append only the latest user message
-
-
-
-
-
     messages.append({"role": "user", "content": message})
 
     response = ""
 
     try:
         # Generate response from the model
-        for message in client.chat_completion(
-            messages,
+        for msg in client.chat_completion(
+            messages=messages,
             max_tokens=max_tokens,
             stream=True,
             temperature=temperature,
             top_p=top_p,
         ):
-            if message.choices[0].delta.content is not None:
-                token = message.choices[0].delta.content
+            if msg.choices[0].delta.content is not None:
+                token = msg.choices[0].delta.content
                 response += token
             yield response
     except Exception as e:
         yield f"An error occurred: {e}"
 
 """
- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+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)",
+        ),
     ],
 )
 
-
 if __name__ == "__main__":
     demo.launch()