Spaces:
Sleeping
Sleeping
import gradio as gr | |
import requests | |
import re | |
import os | |
import subprocess | |
import tempfile | |
import sys | |
import json | |
import time | |
import signal | |
import atexit | |
# Print Python version info for debugging | |
print(f"Python version: {sys.version}") | |
# Track running processes for cleanup | |
running_processes = [] | |
# Clean up any running processes on exit | |
def cleanup_processes(): | |
for process in running_processes: | |
try: | |
if process.poll() is None: # If process is still running | |
process.terminate() | |
process.wait(timeout=5) | |
print(f"Terminated process {process.pid}") | |
except Exception as e: | |
print(f"Error terminating process: {e}") | |
atexit.register(cleanup_processes) | |
def call_openai_api(api_key, prompt): | |
"""Call OpenAI API to generate Gradio app code and requirements""" | |
headers = { | |
"Content-Type": "application/json", | |
"Authorization": f"Bearer {api_key}" | |
} | |
system_prompt = """You are an expert at creating Python applications with Gradio. | |
Your task is to create a complete, standalone Gradio application based on the user's prompt. | |
Provide your response in the following JSON format: | |
{ | |
"app_code": "# Your Python code here...", | |
"requirements": ["gradio==3.32.0", "numpy", "pandas", ...], | |
"app_name": "descriptive-name-of-app", | |
"description": "Brief description of what the app does" | |
} | |
Important guidelines: | |
1. The app_code should be a complete Gradio application. | |
2. Include demo.launch(server_name="0.0.0.0", server_port=7861) at the end of the code | |
3. Don't use any resource that requires internet access (no API calls). | |
4. Only use libraries that can be installed via pip. | |
5. First requirement should be gradio==3.32.0 (important: use exactly this version). | |
6. Use only gr.Interface instead of gr.Blocks to avoid version compatibility issues. | |
7. Don't use any buttons' .click() methods or event handlers - use gr.Interface() only. | |
8. Make the app functionality self-contained and robust. | |
9. Don't create directories or write to any file paths. | |
10. Don't use flagging callbacks or features. | |
Here's a simple template to follow: | |
```python | |
import gradio as gr | |
import numpy as np | |
# Define your functions here | |
def process_data(input_data): | |
result = input_data * 2 # Simple example | |
return f"Processed: {result}" | |
# Create the Gradio interface | |
demo = gr.Interface( | |
fn=process_data, | |
inputs=gr.Number(label="Input Data"), | |
outputs=gr.Textbox(label="Result"), | |
title="Data Processor" | |
) | |
# Launch the app | |
demo.launch(server_name="0.0.0.0", server_port=7861) | |
``` | |
""" | |
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() | |
content = result["choices"][0]["message"]["content"] | |
# Try to parse the JSON response | |
try: | |
# Extract JSON from response | |
json_pattern = r'```json\s*([\s\S]*?)```|({[\s\S]*})' | |
json_matches = re.findall(json_pattern, content) | |
json_str = "" | |
for match in json_matches: | |
if match[0]: # From code block | |
json_str = match[0] | |
break | |
elif match[1]: # Direct JSON | |
json_str = match[1] | |
break | |
if not json_str: | |
json_str = content # Try the whole content | |
app_info = json.loads(json_str) | |
# Extract Python code if it's wrapped in code blocks | |
if "```python" in app_info["app_code"]: | |
code_pattern = r'```python\s*([\s\S]*?)```' | |
code_match = re.search(code_pattern, app_info["app_code"]) | |
if code_match: | |
app_info["app_code"] = code_match.group(1) | |
return app_info, None | |
except json.JSONDecodeError: | |
# Fallback pattern matching if JSON parsing fails | |
app_code_pattern = r'```python\s*([\s\S]*?)```' | |
app_code_matches = re.findall(app_code_pattern, content) | |
app_code = app_code_matches[0] if app_code_matches else "" | |
if not app_code: | |
return None, "Could not extract app code from response" | |
# Try to extract requirements | |
req_pattern = r'import\s+([a-zA-Z0-9_]+)' | |
req_matches = re.findall(req_pattern, app_code) | |
requirements = ["gradio==3.32.0"] | |
if req_matches: | |
for module in req_matches: | |
if module != "gradio" and module not in requirements and module != "os" and module != "sys": | |
requirements.append(module) | |
# Construct a partial app_info | |
app_info = { | |
"app_code": app_code, | |
"requirements": requirements, | |
"app_name": "gradio-app", | |
"description": "Generated Gradio application" | |
} | |
return app_info, None | |
except Exception as e: | |
return None, f"Error: {str(e)}" | |
def install_and_run_app(app_code, requirements): | |
"""Install requirements and run the app in a subprocess""" | |
try: | |
# Create a temporary directory for the app | |
temp_dir = tempfile.mkdtemp() | |
# Create app file | |
app_file = os.path.join(temp_dir, "app.py") | |
with open(app_file, 'w') as f: | |
f.write(app_code) | |
# Make sure port 7861 is specified | |
if "server_port" not in app_code: | |
with open(app_file, 'a') as f: | |
f.write("\n\n# Ensure the app is running on port 7861\n") | |
f.write("if 'demo' in locals():\n") | |
f.write(" demo.launch(server_name='0.0.0.0', server_port=7861)\n") | |
# Install requirements | |
pip_output = "" | |
for req in requirements: | |
try: | |
cmd = [sys.executable, "-m", "pip", "install", req] | |
result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True) | |
pip_output += f"Installing {req}: {'SUCCESS' if result.returncode == 0 else 'FAILED'}\n" | |
if result.returncode != 0: | |
pip_output += f"Error: {result.stderr}\n" | |
except Exception as e: | |
pip_output += f"Error installing {req}: {str(e)}\n" | |
# Run the app | |
cmd = [sys.executable, app_file] | |
app_process = subprocess.Popen( | |
cmd, | |
stdout=subprocess.PIPE, | |
stderr=subprocess.PIPE, | |
text=True | |
) | |
running_processes.append(app_process) | |
# Wait a bit for the app to start | |
time.sleep(3) | |
# Check if the process is still running | |
if app_process.poll() is not None: | |
stdout, stderr = app_process.communicate() | |
return None, f"App failed to start:\n{stderr}\n\nInstallation log:\n{pip_output}" | |
return { | |
"process": app_process, | |
"app_file": app_file, | |
"temp_dir": temp_dir, | |
"url": "http://localhost:7861", | |
"pip_output": pip_output | |
}, None | |
except Exception as e: | |
return None, f"Error setting up and running app: {str(e)}" | |
def stop_running_app(app_details): | |
"""Stop a running app and clean up""" | |
try: | |
if app_details and "process" in app_details: | |
process = app_details["process"] | |
if process.poll() is None: # If process is still running | |
process.terminate() | |
try: | |
process.wait(timeout=5) | |
except subprocess.TimeoutExpired: | |
process.kill() | |
if process in running_processes: | |
running_processes.remove(process) | |
# Clean up temp directory | |
if app_details and "temp_dir" in app_details: | |
import shutil | |
try: | |
shutil.rmtree(app_details["temp_dir"]) | |
except: | |
pass | |
return True | |
except Exception as e: | |
print(f"Error stopping app: {str(e)}") | |
return False | |
# Create the Gradio interface | |
with gr.Blocks(title="Gradio App Generator") as demo: | |
gr.Markdown("# 🤖 Gradio App Generator") | |
gr.Markdown(""" | |
This app generates a Gradio application based on your description, installs required packages, | |
and runs it directly within this container. The generated app will be displayed below. | |
""") | |
# State variable to track running app details | |
app_details_state = gr.State(None) | |
with gr.Row(): | |
with gr.Column(scale=1): | |
api_key = gr.Textbox( | |
label="OpenAI API Key", | |
placeholder="sk-...", | |
type="password", | |
info="Your key is used only for this session" | |
) | |
prompt = gr.Textbox( | |
label="App Description", | |
placeholder="Describe the Gradio app you want to create...", | |
lines=5 | |
) | |
with gr.Row(): | |
generate_btn = gr.Button("Generate & Run App", variant="primary") | |
stop_btn = gr.Button("Stop Running App", variant="stop", visible=False) | |
with gr.Accordion("Generated Code", open=False): | |
code_output = gr.Code(language="python", label="App Code") | |
with gr.Accordion("Package Installation Log", open=False): | |
install_output = gr.Textbox(label="Installation Log", lines=5) | |
status_output = gr.Markdown("") | |
with gr.Column(scale=2): | |
# Frame to display the running app | |
app_frame = gr.HTML("<div style='text-align:center; padding:50px;'><h3>Your generated app will appear here</h3></div>") | |
def on_generate(api_key_val, prompt_val, current_app_details): | |
# Stop any previously running app | |
if current_app_details: | |
stop_running_app(current_app_details) | |
# Validate API key | |
if not api_key_val or len(api_key_val) < 20 or not api_key_val.startswith("sk-"): | |
return ( | |
None, None, "⚠️ Please provide a valid OpenAI API key", | |
"<div style='text-align:center; padding:50px;'><h3>Invalid API key</h3></div>", | |
gr.update(visible=False), None | |
) | |
try: | |
# Call the OpenAI API to generate app code and requirements | |
status_message = "⏳ Generating app code..." | |
yield ( | |
None, None, status_message, | |
"<div style='text-align:center; padding:50px;'><h3>Generating code...</h3></div>", | |
gr.update(visible=False), None | |
) | |
app_info, api_error = call_openai_api(api_key_val, prompt_val) | |
if api_error or not app_info: | |
return ( | |
None, None, f"⚠️ {api_error or 'Failed to generate app'}", | |
"<div style='text-align:center; padding:50px;'><h3>Error generating app</h3></div>", | |
gr.update(visible=False), None | |
) | |
# At this point we have app code and requirements | |
code = app_info["app_code"] | |
requirements = app_info["requirements"] | |
status_message = "⏳ Installing packages and starting app..." | |
yield ( | |
code, None, status_message, | |
"<div style='text-align:center; padding:50px;'><h3>Installing packages...</h3></div>", | |
gr.update(visible=False), None | |
) | |
# Install packages and run the app | |
app_details, run_error = install_and_run_app(code, requirements) | |
if run_error or not app_details: | |
return ( | |
code, None, f"⚠️ {run_error or 'Failed to run app'}", | |
"<div style='text-align:center; padding:50px;'><h3>Error running app</h3></div>", | |
gr.update(visible=False), None | |
) | |
# Create iframe to display the app | |
iframe_html = f""" | |
<div style="height:600px; border:1px solid #ddd; border-radius:5px; overflow:hidden;"> | |
<iframe src="http://localhost:7861" width="100%" height="100%" frameborder="0"></iframe> | |
</div> | |
""" | |
return ( | |
code, app_details["pip_output"], | |
f"✅ App is running! View it below.", | |
iframe_html, | |
gr.update(visible=True), app_details | |
) | |
except Exception as e: | |
import traceback | |
error_details = traceback.format_exc() | |
return ( | |
None, None, f"⚠️ Error: {str(e)}\n\n{error_details}", | |
"<div style='text-align:center; padding:50px;'><h3>An error occurred</h3></div>", | |
gr.update(visible=False), None | |
) | |
def on_stop(current_app_details): | |
if current_app_details: | |
stopped = stop_running_app(current_app_details) | |
if stopped: | |
return ( | |
"✅ App stopped successfully", | |
"<div style='text-align:center; padding:50px;'><h3>App stopped</h3></div>", | |
gr.update(visible=False), None | |
) | |
return ( | |
"⚠️ No app was running", | |
"<div style='text-align:center; padding:50px;'><h3>No app was running</h3></div>", | |
gr.update(visible=False), None | |
) | |
generate_btn.click( | |
on_generate, | |
inputs=[api_key, prompt, app_details_state], | |
outputs=[ | |
code_output, install_output, status_output, app_frame, | |
stop_btn, app_details_state | |
] | |
) | |
stop_btn.click( | |
on_stop, | |
inputs=[app_details_state], | |
outputs=[status_output, app_frame, stop_btn, app_details_state] | |
) | |
if __name__ == "__main__": | |
demo.queue().launch(server_name="0.0.0.0", server_port=7860) |