debug for hf

README.md

@@ -1,12 +1,62 @@
 ---
-title: Demo Mcp
-emoji: 🦀
+title: Text Analysis MCP Server
+emoji: 📝
 colorFrom: blue
-colorTo: blue
+colorTo: green
 sdk: gradio
-sdk_version: 5.34.0
+sdk_version: 4.44.0
 app_file: app.py
 pinned: false
+license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Text Analysis MCP Server
+
+A simple text analysis tool that can also function as a Model Context Protocol (MCP) server.
+
+## Features
+
+- **Letter Counter**: Count how many times a specific letter appears in text
+- **Text Statistics**: Get comprehensive statistics about text (word count, character count, etc.)
+- **MCP Server**: Provides these functions via MCP protocol for use with AI agents
+
+## Usage
+
+### Web Interface
+Simply use the interface above to analyze text.
+
+### As MCP Server
+This app also runs as an MCP server that can be used with MCP-compatible clients.
+
+**MCP Endpoint**: `https://your-username-your-space-name.hf.space/gradio_api/mcp/sse`
+
+**Available Functions**:
+- `letter_counter(word: str, letter: str) -> int`
+- `word_stats(text: str) -> dict`
+
+**Example MCP Client Configuration**:
+```json
+{
+    "model": "your-model",
+    "provider": "your-provider", 
+    "servers": [
+        {
+            "type": "sse",
+            "config": {
+                "url": "https://your-username-your-space-name.hf.space/gradio_api/mcp/sse"
+            }
+        }
+    ]
+}
+```
+
+## Local Development
+
+```bash
+pip install -r requirements.txt
+python app.py
+```
+
+## License
+
+MIT License

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import os
 
 def letter_counter(word: str, letter: str) -> int:
     """
@@ -47,7 +48,7 @@ def word_stats(text: str) -> dict:
 # Create a standard Gradio interface with multiple tabs
 with gr.Blocks(title="Text Analysis MCP Server") as demo:
     gr.Markdown("# Text Analysis Tools")
-    gr.Markdown("This server provides text analysis functions via both web interface and MCP.")
+    gr.Markdown("This app provides text analysis functions and can also serve as an MCP server.")
     
     with gr.Tab("Letter Counter"):
         with gr.Row():
@@ -70,6 +71,16 @@ with gr.Blocks(title="Text Analysis MCP Server") as demo:
             inputs=[text_input, letter_input],
             outputs=count_output
         )
+        
+        # Example
+        gr.Examples(
+            examples=[
+                ["Hello World!", "l"],
+                ["The quick brown fox", "o"],
+                ["Python programming", "p"]
+            ],
+            inputs=[text_input, letter_input]
+        )
     
     with gr.Tab("Text Statistics"):
         stats_text_input = gr.Textbox(
@@ -85,14 +96,27 @@ with gr.Blocks(title="Text Analysis MCP Server") as demo:
             inputs=stats_text_input,
             outputs=stats_output
         )
+        
+        # Example
+        gr.Examples(
+            examples=[
+                ["This is a sample text for analysis. It contains multiple sentences!"],
+                ["Python is a powerful programming language. It's easy to learn and versatile."]
+            ],
+            inputs=[stats_text_input]
+        )
     
-    with gr.Tab("MCP Info"):
-        gr.Markdown("""
+    with gr.Tab("MCP Server Info"):
+        # Get the Space URL dynamically
+        space_host = os.getenv("SPACE_HOST", "your-username-your-space-name.hf.space")
+        mcp_endpoint = f"https://{space_host}/gradio_api/mcp/sse"
+        
+        gr.Markdown(f"""
         ## MCP Server Information
         
-        This server is running as an MCP (Model Context Protocol) server.
+        This app is running as an MCP (Model Context Protocol) server on Hugging Face Spaces.
         
-        **MCP Endpoint**: `http://127.0.0.1:7860/gradio_api/mcp/sse`
+        **MCP Endpoint**: `{mcp_endpoint}`
         
         **Available Functions**:
         - `letter_counter`: Count occurrences of a letter in text
@@ -100,33 +124,30 @@ with gr.Blocks(title="Text Analysis MCP Server") as demo:
         
         **Usage with MCP Client**:
         ```json
-        {
+        {{
             "model": "your-model",
             "provider": "your-provider",
             "servers": [
-                {
+                {{
                     "type": "sse",
-                    "config": {
-                        "url": "http://127.0.0.1:7860/gradio_api/mcp/sse"
-                    }
-                }
+                    "config": {{
+                        "url": "{mcp_endpoint}"
+                    }}
+                }}
             ]
-        }
+        }}
         ```
+        
+        **Note**: Replace `your-username-your-space-name.hf.space` with your actual Space URL.
         """)
 
-# Launch both the Gradio web interface and the MCP server
+# Launch the app
 if __name__ == "__main__":
-    print("🚀 Starting Text Analysis Server...")
-    print("📊 Gradio Interface: http://127.0.0.1:7860")
-    print("🔌 MCP Server: http://127.0.0.1:7860/gradio_api/mcp/sse")
-    print("💡 Use the Gradio interface to test functions")
-    print("🤖 Use the MCP endpoint with tiny-agents or other MCP clients")
-    
+    # For Hugging Face Spaces, we need to modify the launch parameters
     demo.launch(
         mcp_server=True,
-        server_name="127.0.0.1",
-        server_port=7860,
-        show_api=True
-    )
-
+        server_name="0.0.0.0",  # Required for Spaces
+        server_port=7860,       # Default port for Spaces
+        show_api=True,
+        share=False             # Spaces handles sharing
+    )