Fixed deployment of client.py

client.py

@@ -1,56 +1,36 @@
 import gradio as gr
 import os
+from textblob import TextBlob
+
+# Create a simple function for sentiment analysis
+def sentiment_analysis(message, history):
+    """
+    Perform sentiment analysis on the input text and return a formatted result.
+    """
+    blob = TextBlob(message)
+    sentiment = blob.sentiment
+    
+    assessment = "Positive" if sentiment.polarity > 0 else "Negative" if sentiment.polarity < 0 else "Neutral"
+    
+    return f"Sentiment Analysis: {assessment}\nPolarity: {sentiment.polarity:.2f}\nSubjectivity: {sentiment.subjectivity:.2f}"
 
-from smolagents import CodeAgent, InferenceClientModel
-from smolagents.mcp_client import MCPClient
-
-# Determine if we're running locally or on HF Spaces
-is_spaces = os.environ.get('SPACE_ID') is not None
-
-# Define the MCP URL based on environment
-mcp_url = "/gradio_api/mcp/sse" if is_spaces else "http://localhost:7860/gradio_api/mcp/sse"
-
-# Initialize the client outside the try block, but don't connect yet
-mcp_client = None
-
+# Create our demo interface
 def create_demo():
-    # Creating the chatbot interface
-    return gr.ChatInterface(
-        fn=lambda message, history: str(agent.run(message)) if agent else "Agent not connected",
-        type="messages",
-        examples=["What is the capital of France?"],
-        title="Agent with Gradio and MCP",
-        description="Simple agent used for asking questions.",
-        messages=[],
+    # Create a basic ChatInterface with just sentiment analysis
+    interface = gr.ChatInterface(
+        fn=sentiment_analysis,
+        examples=["I love this application, it's amazing!", 
+                 "I'm feeling a bit disappointed with the results.",
+                 "This is just a neutral statement about facts."],
+        title="Sentiment Analysis Chatbot",
+        description="Ask me to analyze the sentiment of your text!",
         theme="ocean"
     )
+    return interface
 
-# Initialize the demo outside of the try-except
-demo = None
+# Create the demo
+demo = create_demo()
 
-try:
-    # Create and connect the MCP client
-    mcp_client = MCPClient({"url": mcp_url})
-    tools = mcp_client.get_tools()
-    model = InferenceClientModel()
-    agent = CodeAgent(tools=[*tools], model=model)
-    
-    # Create the chat interface
-    demo = create_demo()
-    
-except Exception as e:
-    # If client connection fails, create a demo that shows the error
-    print(f"Error connecting to MCP server: {e}")
-    agent = None
-    demo = create_demo()
-
-# Only close the client if it was successfully created
+# No cleanup needed for this simplified version
 def cleanup():
-    if mcp_client:
-        try:
-            mcp_client.close()
-        except:
-            pass
-
-# In app.py, we only import the demo object, 
-# so we don't need to call launch() here
+    pass

requirements.txt

@@ -1,4 +1,2 @@
-gradio[mcp]
-smolagents[mcp]
-mcp
+gradio
 textblob