Update app.py

app.py

@@ -4,45 +4,47 @@ 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
 """
+# Initialize the inference client with the model repo
 client = InferenceClient("cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser")
 
-
 def respond(
-    message,
+    message: str,
     history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
+    system_message: str,
+    max_tokens: int,
+    temperature: float,
+    top_p: float,
 ):
+    """Generate a response for the chatbot using the InferenceClient."""
+    # Prepare the messages in the correct format for the API
     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]})
+    for user_input, assistant_reply in history:
+        if user_input:
+            messages.append({"role": "user", "content": user_input})
+        if assistant_reply:
+            messages.append({"role": "assistant", "content": assistant_reply})
 
     messages.append({"role": "user", "content": message})
 
     response = ""
 
+    # Stream response tokens from the chat completion API
     for message in client.chat_completion(
-        messages,
+        messages=messages,
         max_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        token = message.choices[0].delta.content
-
+        token = message["choices"][0]["delta"].get("content", "")
         response += token
         yield response
 
-
 """
-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=[
@@ -59,6 +61,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
     demo.launch()