refactor: Clean up imports, improve code formatting, and enhance readability in the Gradio application for better maintainability.

app.py

@@ -2,24 +2,28 @@
 Gradio MCP Client for Remote MCP Server - With File Upload
 """
 
-import os
+import asyncio
 import json
+import os
 import shutil
-import urllib.parse
-import asyncio
-import warnings
 import signal
 import sys
-import gradio as gr
+import urllib.parse
+import warnings
 from contextlib import asynccontextmanager
 
-from openai import OpenAI
+import gradio as gr
 from fastmcp import Client
 from fastmcp.client.transports import StreamableHttpTransport
+from openai import OpenAI
 
 # Suppress deprecation warnings
-warnings.filterwarnings("ignore", category=DeprecationWarning, module="websockets.legacy")
-warnings.filterwarnings("ignore", category=DeprecationWarning, module="uvicorn.protocols.websockets")
+warnings.filterwarnings(
+    "ignore", category=DeprecationWarning, module="websockets.legacy"
+)
+warnings.filterwarnings(
+    "ignore", category=DeprecationWarning, module="uvicorn.protocols.websockets"
+)
 
 # Import orchestrator functions (if available)
 try:
@@ -252,7 +256,9 @@ async def chat_send_stream(user_msg, history, file_url):
                 history_tuples.append(msg)
 
         # Stream the response using async generator
-        async for chunk in run_orchestrated_chat_stream(user_msg, history_tuples, file_url):
+        async for chunk in run_orchestrated_chat_stream(
+            user_msg, history_tuples, file_url
+        ):
             chunk_type = chunk.get("type", "")
             chunk_content = chunk.get("content", "")
 
@@ -341,7 +347,10 @@ with gr.Blocks(title="MCP + GPT-5 mini (file-first)") as demo:
     # Use message format for better streaming support
     chatbot = gr.Chatbot(
         label="Chat",
-        avatar_images=(None, "https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.png"),
+        avatar_images=(
+            None,
+            "https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.png",
+        ),
         layout="bubble",
     )
 
@@ -350,8 +359,7 @@ with gr.Blocks(title="MCP + GPT-5 mini (file-first)") as demo:
 
     # Add a toggle for streaming
     use_streaming = gr.Checkbox(
-        label="🚀 Enable streaming (shows tool invocations in real-time)",
-        value=True
+        label="🚀 Enable streaming (shows tool invocations in real-time)", value=True
     )
 
     gr.Examples(
@@ -376,20 +384,14 @@ with gr.Blocks(title="MCP + GPT-5 mini (file-first)") as demo:
         chat_send_stream,
         inputs=[msg, chatbot, file_url_box],
         outputs=[chatbot, msg],
-    ).then(
-        lambda: None,
-        outputs=[msg]
-    )
+    ).then(lambda: None, outputs=[msg])
 
     # Press Enter to send (streaming)
     msg.submit(
         chat_send_stream,
         inputs=[msg, chatbot, file_url_box],
         outputs=[chatbot, msg],
-    ).then(
-        lambda: None,
-        outputs=[msg]
-    )
+    ).then(lambda: None, outputs=[msg])
 
 
 if __name__ == "__main__":
@@ -414,8 +416,6 @@ if __name__ == "__main__":
             ssr_mode=False,
             prevent_thread_lock=True,  # Helps with asyncio cleanup
             show_error=True,  # Show errors instead of silent failures
-            server_name="0.0.0.0",  # Explicit server name
-            server_port=7860,  # Explicit port
         )
     except KeyboardInterrupt:
         print("\nShutdown requested by user")
@@ -440,4 +440,4 @@ if __name__ == "__main__":
             try:
                 current_loop.close()
             except Exception:
-                pass  # Ignore cleanup errors
+                pass  # Ignore cleanup errors