simple_app.py

#!/usr/bin/env python3
"""
Simple A1D MCP Server with Gradio - Minimal version to avoid type inference issues
"""

import gradio as gr
import os
from utils import A1DAPIClient, prepare_request_data, format_response_with_preview
from config import TOOLS_CONFIG

def get_api_client():
    """Get API client with current API key"""
    api_key = os.getenv("A1D_API_KEY")
    if not api_key:
        raise ValueError("A1D_API_KEY environment variable is required")
    return A1DAPIClient(api_key)

def remove_bg_simple(image_url):
    """Remove background from images using AI"""
    try:
        if not image_url or not image_url.strip():
            return "❌ Error: Please provide an image URL", None
        
        client = get_api_client()
        data = prepare_request_data("remove_bg", image_url=image_url)
        response = client.make_request_with_result(
            TOOLS_CONFIG["remove_bg"]["api_endpoint"],
            data,
            timeout=120
        )
        message, media_url = format_response_with_preview(response, "remove_bg")
        return message, media_url
    except Exception as e:
        return f"❌ Error: {str(e)}", None

def image_upscaler_simple(image_url, scale):
    """Upscale images using AI"""
    try:
        if not image_url or not image_url.strip():
            return "❌ Error: Please provide an image URL", None
        
        client = get_api_client()
        data = prepare_request_data("image_upscaler", image_url=image_url, scale=scale)
        response = client.make_request_with_result(
            TOOLS_CONFIG["image_upscaler"]["api_endpoint"],
            data,
            timeout=120
        )
        message, media_url = format_response_with_preview(response, "image_upscaler")
        return message, media_url
    except Exception as e:
        return f"❌ Error: {str(e)}", None

def image_generator_simple(prompt):
    """Generate images using AI from text prompts"""
    try:
        if not prompt or not prompt.strip():
            return "❌ Error: Please provide a text prompt", None
        
        client = get_api_client()
        data = prepare_request_data("image_generator", prompt=prompt)
        response = client.make_request_with_result(
            TOOLS_CONFIG["image_generator"]["api_endpoint"],
            data,
            timeout=120
        )
        message, media_url = format_response_with_preview(response, "image_generator")
        return message, media_url
    except Exception as e:
        return f"❌ Error: {str(e)}", None

def create_simple_app():
    """Create a simple Gradio app"""
    
    with gr.Blocks(title="A1D MCP Server - Universal AI Tools") as demo:
        gr.Markdown("# 🤖 A1D MCP Server - Universal AI Tools")
        gr.Markdown("Powerful AI image and video processing tools for any MCP-compatible client.")
        
        with gr.Tab("🎭 Background Removal"):
            with gr.Row():
                with gr.Column():
                    bg_input = gr.Textbox(
                        label="Image URL",
                        placeholder="https://example.com/image.jpg"
                    )
                    bg_button = gr.Button("Remove Background", variant="primary")
                with gr.Column():
                    bg_output = gr.Textbox(label="Result")
                    bg_image = gr.Image(label="Preview")
            
            bg_button.click(
                fn=remove_bg_simple,
                inputs=[bg_input],
                outputs=[bg_output, bg_image]
            )
        
        with gr.Tab("🔍 Image Upscaler"):
            with gr.Row():
                with gr.Column():
                    up_input = gr.Textbox(
                        label="Image URL",
                        placeholder="https://example.com/image.jpg"
                    )
                    up_scale = gr.Dropdown(
                        choices=[2, 4, 8, 16],
                        value=2,
                        label="Scale Factor"
                    )
                    up_button = gr.Button("Upscale Image", variant="primary")
                with gr.Column():
                    up_output = gr.Textbox(label="Result")
                    up_image = gr.Image(label="Preview")
            
            up_button.click(
                fn=image_upscaler_simple,
                inputs=[up_input, up_scale],
                outputs=[up_output, up_image]
            )
        
        with gr.Tab("🎨 Image Generator"):
            with gr.Row():
                with gr.Column():
                    gen_input = gr.Textbox(
                        label="Text Prompt",
                        placeholder="A beautiful sunset over mountains...",
                        lines=3
                    )
                    gen_button = gr.Button("Generate Image", variant="primary")
                with gr.Column():
                    gen_output = gr.Textbox(label="Result")
                    gen_image = gr.Image(label="Preview")
            
            gen_button.click(
                fn=image_generator_simple,
                inputs=[gen_input],
                outputs=[gen_output, gen_image]
            )
        
        gr.Markdown("""
        ## 🔧 MCP Client Configuration
        
        Add this to your Claude Desktop configuration:
        
        ```json
        {
          "mcpServers": {
            "a1d-hosted": {
              "command": "npx",
              "args": [
                "mcp-remote@latest",
                "https://aigchacker-a1d-mcp-server.hf.space/gradio_api/mcp/sse",
                "--header",
                "API_KEY:${MCP_API_KEY}"
              ],
              "env": {
                "MCP_API_KEY": "your_a1d_api_key_here"
              }
            }
          }
        }
        ```
        """)
    
    return demo

if __name__ == "__main__":
    # Check for API key
    if not os.getenv("A1D_API_KEY"):
        print("❌ Error: A1D_API_KEY environment variable is required")
        print("Please set your API key in the Space settings")
        exit(1)
    
    print("🚀 Starting A1D MCP Server (Simple Version)...")
    print("✅ API key found")
    
    # Create and launch the app
    demo = create_simple_app()
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=False
    )