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import os | |
import importlib.util | |
import sys | |
import tempfile | |
import re | |
import ast | |
import gradio as gr | |
from openai import OpenAI | |
# Extract code blocks from text | |
def extract_code_blocks(text): | |
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+:|if\s+__name__\s*==\s*[\'"]__main__[\'"]:', text): | |
return [text.strip()] | |
return [match.strip() for match in matches] | |
# Validate that the code is safe to run | |
def validate_gradio_code(code): | |
try: | |
tree = ast.parse(code) | |
# Check imports | |
allowed_modules = ['gradio', 'numpy', 'pandas', 'matplotlib', 'PIL', 'os', 'io', 'base64', | |
'time', 'datetime', 'json', 'random', 'math', 'sys', 're', 'pathlib', | |
'collections', 'typing', 'warnings'] | |
for node in ast.walk(tree): | |
if isinstance(node, ast.Import): | |
for name in node.names: | |
if name.name not in allowed_modules: | |
return False, f"Unauthorized import: {name.name}" | |
elif isinstance(node, ast.ImportFrom): | |
if node.module not in allowed_modules and node.module is not None: | |
return False, f"Unauthorized import from: {node.module}" | |
# Check for harmful operations | |
code_str = code.lower() | |
harmful_ops = ['subprocess', 'system(', 'popen(', 'execve(', 'chmod(', 'rmdir(', | |
'remove(', 'unlink(', 'rmtree(', 'socket', 'eval(', 'exec('] | |
for op in harmful_ops: | |
if op in code_str: | |
return False, f"Potentially harmful operation detected: {op}" | |
return True, None | |
except SyntaxError as e: | |
return False, f"Syntax error in the code: {str(e)}" | |
except Exception as e: | |
return False, f"Error validating code: {str(e)}" | |
# Global variables for app storage | |
generated_app = None | |
current_code = "" | |
# Generate app using OpenAI | |
def generate_gradio_app(api_key, prompt): | |
if not api_key or len(api_key) < 20: | |
return None, "Please provide a valid OpenAI API key" | |
try: | |
client = OpenAI(api_key=api_key) | |
response = client.chat.completions.create( | |
model="gpt-4o", | |
messages=[ | |
{"role": "system", "content": """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. | |
The code must: | |
1. Import all necessary libraries | |
2. Define a complete, functional Gradio interface | |
3. Launch the interface with share=False | |
4. Handle errors gracefully | |
5. Be completely self-contained in a single script | |
6. End with a simple if __name__ == "__main__": block that launches the app | |
""" | |
}, | |
{"role": "user", "content": prompt} | |
], | |
temperature=0.2, | |
max_tokens=4000 | |
) | |
generated_code = response.choices[0].message.content | |
code_blocks = extract_code_blocks(generated_code) | |
if code_blocks: | |
return code_blocks[0], None | |
else: | |
return generated_code, None | |
except Exception as e: | |
return None, str(e) | |
# Load and run generated app | |
def load_and_run_gradio_app(code): | |
global generated_app, current_code | |
# Validate code | |
is_valid, error_msg = validate_gradio_code(code) | |
if not is_valid: | |
return None, error_msg | |
# Clean up previous app | |
if generated_app: | |
try: | |
generated_app.close() | |
except: | |
pass | |
# 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) | |
# Find Gradio interface | |
for attr_name in dir(module): | |
attr = getattr(module, attr_name) | |
if isinstance(attr, (gr.Blocks, gr.Interface)): | |
generated_app = attr | |
current_code = code | |
return attr, None | |
return None, "No Gradio interface found in the generated code" | |
except Exception as e: | |
return None, f"Error executing the generated code: {str(e)}" | |
finally: | |
try: | |
os.unlink(temp_file) | |
except: | |
pass | |
# Create the main UI | |
with gr.Blocks(title="AI Gradio App Generator") as demo: | |
gr.Markdown("# 🤖 AI Gradio App Generator") | |
gr.Markdown("Describe the app you want, and I'll generate it for you using OpenAI's API.") | |
with gr.Row(): | |
with gr.Column(scale=2): | |
api_key = gr.Textbox( | |
label="OpenAI API Key", | |
placeholder="sk-...", | |
type="password", | |
info="Your key is used for this session only and not stored" | |
) | |
prompt = gr.Textbox( | |
label="App Description", | |
placeholder="Describe the Gradio app you want to create...", | |
lines=5 | |
) | |
with gr.Row(): | |
submit_btn = gr.Button("Generate App", variant="primary") | |
clear_btn = gr.Button("Clear", variant="secondary") | |
with gr.Accordion("Generated Code", open=False): | |
code_output = gr.Code(language="python", label="Generated Code") | |
status_output = gr.Markdown("") | |
with gr.Column(scale=3): | |
app_container = gr.HTML("<div style='text-align: center; padding: 50px;'><h3>Your generated app will appear here</h3></div>") | |
def on_submit(api_key_input, prompt_text): | |
# Generate code | |
code, error = generate_gradio_app(api_key_input, prompt_text) | |
if error: | |
return None, f"⚠️ Error generating code: {error}", "<div style='text-align: center; padding: 50px;'><h3>Error generating app</h3></div>" | |
# Load and run app | |
app, run_error = load_and_run_gradio_app(code) | |
if run_error: | |
return code, f"⚠️ Error running the generated app: {run_error}", "<div style='text-align: center; padding: 50px;'><h3>Error running app</h3></div>" | |
# Create iframe to display app | |
iframe_html = f''' | |
<div style="border: 1px solid #ddd; border-radius: 8px; padding: 0; overflow: hidden;"> | |
<iframe id="appFrame" src="/generated_app" width="100%" height="800px" frameborder="0"></iframe> | |
</div> | |
''' | |
return code, "✅ App generated successfully!", iframe_html | |
def on_clear(): | |
return "", "", "<div style='text-align: center; padding: 50px;'><h3>Your generated app will appear here</h3></div>" | |
submit_btn.click( | |
on_submit, | |
inputs=[api_key, prompt], | |
outputs=[code_output, status_output, app_container] | |
) | |
clear_btn.click( | |
on_clear, | |
inputs=[], | |
outputs=[prompt, status_output, app_container] | |
) | |
if __name__ == "__main__": | |
demo.launch(server_name="0.0.0.0", server_port=7860) |