Initial Docker Space setup for AutoGPT

Dockerfile

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+# Dockerfile for AutoGPT Hugging Face Space
+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    curl \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Expose port (Hugging Face Spaces use port 7860 by default)
+EXPOSE 7860
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1
+ENV PORT=7860
+
+# Run the application
+CMD ["python", "app.py"]

README.md

@@ -1,11 +1,37 @@
 ---
-title: Autogpt Space
-emoji: 👀
-colorFrom: indigo
-colorTo: red
+title: AutoGPT Space
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
 sdk: docker
 pinned: false
-short_description: An autonomous AI agent powered by AutoGPT
+license: mit
+app_port: 7860
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# AutoGPT Space
+
+An autonomous AI agent powered by AutoGPT, deployed as a Hugging Face Space using Docker.
+
+## Features
+
+- 🤖 Autonomous task execution
+- 🔄 Iterative problem-solving
+- 🎛️ Configurable parameters
+- 🌐 Web-based interface
+
+## Usage
+
+1. Enter a task description in the text box
+2. Adjust max iterations and temperature if needed
+3. Click "Run AutoGPT" to start execution
+4. View results in the output panel
+
+## Configuration
+
+- **Max Iterations**: Controls how many steps AutoGPT will take
+- **Temperature**: Controls the randomness of LLM responses
+
+## License
+
+MIT License

app.py

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+"""
+AutoGPT Hugging Face Space Entry Point
+Main application file for the Docker Space
+"""
+import os
+import gradio as gr
+from typing import Optional
+
+# Initialize AutoGPT components here
+# This is a placeholder - adjust based on your actual AutoGPT implementation
+
+def autogpt_interface(
+    task: str,
+    max_iterations: int = 5,
+    temperature: float = 0.7
+) -> str:
+    """
+    Main AutoGPT interface function
+    
+    Args:
+        task: The task description for AutoGPT
+        max_iterations: Maximum number of iterations
+        temperature: Temperature for LLM generation
+        
+    Returns:
+        Result string from AutoGPT execution
+    """
+    try:
+        # Placeholder for AutoGPT execution
+        # Replace this with actual AutoGPT integration
+        result = f"""
+AutoGPT Task Execution:
+Task: {task}
+Max Iterations: {max_iterations}
+Temperature: {temperature}
+
+[AutoGPT execution would happen here]
+This is a placeholder implementation.
+        """
+        return result.strip()
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Create Gradio interface
+def create_interface():
+    """Create and return the Gradio interface"""
+    with gr.Blocks(title="AutoGPT Space", theme=gr.themes.Soft()) as demo:
+        gr.Markdown(
+            """
+            # 🤖 AutoGPT Space
+            
+            An autonomous AI agent powered by AutoGPT. Enter a task and let AutoGPT work on it autonomously.
+            """
+        )
+        
+        with gr.Row():
+            with gr.Column():
+                task_input = gr.Textbox(
+                    label="Task Description",
+                    placeholder="Enter the task you want AutoGPT to accomplish...",
+                    lines=3
+                )
+                
+                with gr.Row():
+                    max_iter = gr.Slider(
+                        minimum=1,
+                        maximum=20,
+                        value=5,
+                        step=1,
+                        label="Max Iterations"
+                    )
+                    temperature = gr.Slider(
+                        minimum=0.0,
+                        maximum=1.0,
+                        value=0.7,
+                        step=0.1,
+                        label="Temperature"
+                    )
+                
+                submit_btn = gr.Button("Run AutoGPT", variant="primary")
+            
+            with gr.Column():
+                output = gr.Textbox(
+                    label="Result",
+                    lines=10,
+                    interactive=False
+                )
+        
+        submit_btn.click(
+            fn=autogpt_interface,
+            inputs=[task_input, max_iter, temperature],
+            outputs=output
+        )
+        
+        gr.Examples(
+            examples=[
+                ["Research and summarize the latest developments in AI"],
+                ["Create a Python script to analyze stock market data"],
+                ["Write a blog post about sustainable energy solutions"]
+            ],
+            inputs=task_input
+        )
+    
+    return demo
+
+if __name__ == "__main__":
+    # Get port from environment (Hugging Face Spaces sets this)
+    port = int(os.environ.get("PORT", 7860))
+    
+    # Launch the interface
+    demo = create_interface()
+    demo.launch(
+        server_name="0.0.0.0",
+        server_port=port,
+        share=False
+    )

requirements.txt

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+# Core dependencies
+gradio>=4.0.0
+python-dotenv>=1.0.0
+
+# AutoGPT dependencies (adjust based on actual requirements)
+# openai>=1.0.0
+# langchain>=0.1.0
+# tiktoken>=0.5.0
+
+# Additional utilities
+requests>=2.31.0
+pydantic>=2.0.0