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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) |