app.py

import gradio as gr
import requests
import re
import tempfile
import importlib.util
import sys
import os
import traceback

# Print Gradio version for debugging
GRADIO_VERSION = gr.__version__
print(f"Using Gradio version: {GRADIO_VERSION}")

# Minimal hardcoded apps that should work with any Gradio version
HELLO_WORLD_APP = """
import gradio as gr

def hello_world():
    return "Hello, World!"

demo = gr.Interface(
    fn=hello_world,
    inputs=None,
    outputs="text"
)
"""

CALCULATOR_APP = """
import gradio as gr

def calculate(a, b, operation):
    if operation == "add":
        return a + b
    elif operation == "subtract":
        return a - b
    elif operation == "multiply":
        return a * b
    elif operation == "divide":
        return a / b if b != 0 else "Error: Division by zero"
    else:
        return "Invalid operation"

demo = gr.Interface(
    fn=calculate,
    inputs=[
        gr.Number(label="First Number"),
        gr.Number(label="Second Number"),
        gr.Radio(["add", "subtract", "multiply", "divide"], label="Operation")
    ],
    outputs="text"
)
"""

TEXT_ANALYZER_APP = """
import gradio as gr

def analyze_text(text):
    if not text:
        return "Please enter some text"
    
    num_chars = len(text)
    num_words = len(text.split())
    
    return f"Characters: {num_chars}, Words: {num_words}"

demo = gr.Interface(
    fn=analyze_text,
    inputs="text",
    outputs="text"
)
"""

def call_openai_api(api_key, prompt):
    """Direct API call to OpenAI with minimal output requirements"""
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {api_key}"
    }
    
    system_prompt = """You are an expert Gradio developer.
Create a standalone Gradio application based on the user's prompt.
Your response should ONLY include Python code without any explanation.

IMPORTANT: Use the MOST BASIC Gradio features ONLY.
- Use gr.Interface() instead of gr.Blocks()
- Use string literals "text" for text inputs/outputs
- Do not use any component methods like .click() or event handlers
- Do not use component properties or attributes
- Keep it extremely simple

Example of a valid app:

```python
import gradio as gr

def my_function(text_input):
    return f"You entered: {text_input}"

demo = gr.Interface(
    fn=my_function,
    inputs="text",
    outputs="text"
)
```

The code must:
1. Import only gradio and basic Python libraries
2. Define simple functions
3. Create a minimal gr.Interface named 'demo'
4. NOT include a launch command or if __name__ == "__main__" block
"""
    
    data = {
        "model": "gpt-4o",
        "messages": [
            {"role": "system", "content": system_prompt},
            {"role": "user", "content": prompt}
        ],
        "temperature": 0.2,
        "max_tokens": 4000
    }
    
    try:
        response = requests.post(
            "https://api.openai.com/v1/chat/completions",
            headers=headers,
            json=data
        )
        
        if response.status_code != 200:
            return None, f"API Error: {response.status_code} - {response.text}"
        
        result = response.json()
        return result["choices"][0]["message"]["content"], None
    except Exception as e:
        return None, f"API Error: {str(e)}"

def extract_code_blocks(text):
    """Extract code blocks from markdown"""
    pattern = r'```(?:python)?\s*([\s\S]*?)```'
    matches = re.findall(pattern, text)
    
    if not matches and text.strip():
        if re.search(r'import\s+\w+|def\s+\w+\(|class\s+\w+:', text):
            return [text.strip()]
    
    return [match.strip() for match in matches]

def load_generated_app(code):
    """Load and run the generated Gradio app"""
    # Save code to temp file
    with tempfile.NamedTemporaryFile(suffix='.py', delete=False) as f:
        f.write(code.encode('utf-8'))
        temp_file = f.name
    
    try:
        # Import module
        module_name = os.path.basename(temp_file).replace('.py', '')
        spec = importlib.util.spec_from_file_location(module_name, temp_file)
        module = importlib.util.module_from_spec(spec)
        sys.modules[module_name] = module
        spec.loader.exec_module(module)
        
        # Get the Gradio interface
        if hasattr(module, 'demo'):
            return module.demo, None
        else:
            return None, "No 'demo' variable found in the generated code"
            
    except Exception as e:
        error_details = traceback.format_exc()
        return None, f"{str(e)}\n{error_details}"
    finally:
        try:
            os.unlink(temp_file)
        except:
            pass

def get_template_app(prompt_text):
    """Get appropriate template app based on prompt keywords"""
    prompt_lower = prompt_text.lower()
    
    if "hello" in prompt_lower or "world" in prompt_lower:
        return HELLO_WORLD_APP
    elif "calculator" in prompt_lower or "math" in prompt_lower or "calculate" in prompt_lower:
        return CALCULATOR_APP
    else:
        return TEXT_ANALYZER_APP

# Create the main UI - using the most basic approach
with gr.Blocks() as demo:
    gr.Markdown(f"# AI Gradio App Generator (v{GRADIO_VERSION})")
    gr.Markdown("Describe the Gradio app you want, and I'll generate it for you.")
    
    api_key = gr.Textbox(
        label="OpenAI API Key", 
        placeholder="sk-...",
        type="password"
    )
    
    prompt = gr.Textbox(
        label="App Description", 
        placeholder="Describe the Gradio app you want to create...",
        lines=3
    )
    
    submit_btn = gr.Button("Generate App")
    template_btn = gr.Button("Use Template App")
    
    code_output = gr.Code(language="python", label="Generated Code")
    status_output = gr.Textbox(label="Status")
    
    app_container = gr.HTML(label="Generated App")
    
    def on_submit(api_key_input, prompt_text):
        # Validate API key
        if not api_key_input or len(api_key_input) < 20:
            return None, "Please provide a valid OpenAI API key", "<p>Enter a valid API key</p>"
        
        try:
            # Try to generate code via API
            response, error = call_openai_api(api_key_input, prompt_text)
            if error:
                # Fall back to template if API fails
                template_code = get_template_app(prompt_text)
                app, app_error = load_generated_app(template_code)
                
                if app_error:
                    return template_code, f"Template fallback also failed: {app_error}", "<p>Failed to generate app</p>"
                
                return template_code, "Using template app (API failed)", f"<iframe src='/template' width='100%' height='500px'></iframe>"
            
            # Extract code from response
            code_blocks = extract_code_blocks(response)
            if not code_blocks:
                template_code = get_template_app(prompt_text)
                return template_code, "No code found in API response, using template", f"<iframe src='/template' width='100%' height='500px'></iframe>"
            
            code = code_blocks[0]
            
            # Try to load the generated app
            app, app_error = load_generated_app(code)
            if app_error:
                # Fall back to template
                template_code = get_template_app(prompt_text)
                return template_code, f"Generated code error: {app_error}\nUsing template instead", f"<iframe src='/template' width='100%' height='500px'></iframe>"
            
            return code, "App generated successfully!", f"<iframe src='/generated' width='100%' height='500px'></iframe>"
        
        except Exception as e:
            # Final fallback
            template_code = get_template_app(prompt_text)
            return template_code, f"Error: {str(e)}\nUsing template instead", f"<iframe src='/template' width='100%' height='500px'></iframe>"
    
    def on_template(prompt_text):
        template_code = get_template_app(prompt_text)
        return template_code, "Using built-in template app", f"<iframe src='/template' width='100%' height='500px'></iframe>"
    
    submit_btn.click(
        on_submit,
        inputs=[api_key, prompt],
        outputs=[code_output, status_output, app_container]
    )
    
    template_btn.click(
        on_template,
        inputs=[prompt],
        outputs=[code_output, status_output, app_container]
    )

# Hello world demo that should work with any Gradio version
def hello_world():
    return "Hello, World!"

basic_demo = gr.Interface(
    fn=hello_world,
    inputs=None,
    outputs="text",
    title="Hello World App"
)

if __name__ == "__main__":
    # Use the simplest launch method
    demo.launch(server_name="0.0.0.0", server_port=7860)