Update app.py

app.py

@@ -137,56 +137,55 @@ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 
 def respond(
-message,
-history: list[tuple[str, str]],
-system_message,
-max_tokens,
-temperature,
-top_p,
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
 ):
-messages = [{"role": "system", "content": system_message}]
+    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 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})
+    messages.append({"role": "user", "content": message})
 
-response = ""
+    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
+    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
+        response += token
+        yield response
 
 """
 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)",
-),
-],
+    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()