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import gradio as gr
import requests
import re
import os
import subprocess
import tempfile
import sys
import json
import time
# Print Python version and gradio version for debugging
print(f"Python version: {sys.version}")
print(f"Gradio version: {gr.__version__}")
# Track running processes and files
running_process = None
temp_file = None
def call_openai_api(api_key, prompt):
"""Call OpenAI API to generate Gradio app code"""
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}"
}
system_prompt = """You are an expert at creating Python applications with Gradio.
Create a complete, standalone Gradio application based on the user's prompt.
Important guidelines:
1. Use ONLY gr.Interface (NOT gr.Blocks)
2. Always include server_name="0.0.0.0" and server_port=7861 in the launch parameters
3. Keep the app simple and focused on the user's request
4. DO NOT use any flagging callbacks or flagging_dir parameters
5. Use only standard Python libraries that come with Python
6. Try to use the simplest possible implementation
Example:
```python
import gradio as gr
import numpy as np
def process(input_value):
return input_value * 2
demo = gr.Interface(
fn=process,
inputs=gr.Number(label="Input"),
outputs=gr.Number(label="Output"),
title="Number Doubler"
)
demo.launch(server_name="0.0.0.0", server_port=7861)
```
"""
try:
response = requests.post(
"https://api.openai.com/v1/chat/completions",
headers=headers,
json={
"model": "gpt-4o",
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": prompt}
],
"temperature": 0.2,
"max_tokens": 4000
}
)
if response.status_code != 200:
return None, f"API Error: {response.status_code} - {response.text}"
result = response.json()
content = result["choices"][0]["message"]["content"]
# Extract code from the response
code_pattern = r'```python\s*([\s\S]*?)```'
code_match = re.search(code_pattern, content)
if code_match:
return code_match.group(1), None
else:
# If no code block found, use the entire content
return content, None
except Exception as e:
return None, f"API call failed: {str(e)}"
def run_app(code):
"""Run the Gradio app in a subprocess"""
global running_process, temp_file
# Stop any previously running process
if running_process and running_process.poll() is None:
running_process.terminate()
time.sleep(1)
if running_process.poll() is None:
running_process.kill()
# Clean up previous temp file
if temp_file and os.path.exists(temp_file):
try:
os.unlink(temp_file)
except:
pass
# Create a temporary file for the app
fd, temp_file = tempfile.mkstemp(suffix='.py')
os.close(fd)
# Make sure launch parameters are correct
if "server_name" not in code or "server_port" not in code:
code += "\n\ndemo.launch(server_name='0.0.0.0', server_port=7861)\n"
# Remove any flagging parameters
code = code.replace("flagging_callback", "#flagging_callback")
code = code.replace("flagging_dir", "#flagging_dir")
# Write the code to the file
with open(temp_file, 'w') as f:
f.write(code)
# Run the app
try:
running_process = subprocess.Popen(
[sys.executable, temp_file],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE
)
# Wait for the app to start
time.sleep(3)
# Check if the process is still running
if running_process.poll() is not None:
stdout, stderr = running_process.communicate()
return False, f"App failed to start:\n{stderr.decode('utf-8')}"
return True, None
except Exception as e:
return False, f"Error starting app: {str(e)}"
# Create a minimal Gradio interface
with gr.Blocks(title="Simple Gradio App Generator") as demo:
gr.Markdown("# 🤖 Gradio App Generator")
gr.Markdown("Enter a description of the app you want to create.")
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
)
with gr.Row():
generate_btn = gr.Button("Generate & Run App", variant="primary")
stop_btn = gr.Button("Stop App", variant="stop", visible=False)
code_output = gr.Code(
language="python",
label="Generated Code",
lines=10
)
status_output = gr.Markdown("")
app_frame = gr.HTML(
"<div style='text-align:center; padding:50px;'><h3>Your app will appear here</h3></div>"
)
def on_generate(key, description):
"""Generate and run the app"""
if not key or len(key) < 20 or not key.startswith("sk-"):
return (
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)
)
# Generate the code
code, error = call_openai_api(key, description)
if error or not code:
return (
None,
f"⚠️ Error: {error or 'Failed to generate code'}",
"<div style='text-align:center; padding:50px;'><h3>Error generating code</h3></div>",
gr.update(visible=False)
)
# Run the app
success, run_error = run_app(code)
if not success:
return (
code,
f"⚠️ Error: {run_error}",
"<div style='text-align:center; padding:50px;'><h3>Error running app</h3></div>",
gr.update(visible=False)
)
# Create an 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 is running! View it below.",
iframe_html,
gr.update(visible=True)
)
def on_stop():
"""Stop the running app"""
global running_process, temp_file
if running_process and running_process.poll() is None:
running_process.terminate()
time.sleep(1)
if running_process.poll() is None:
running_process.kill()
if temp_file and os.path.exists(temp_file):
try:
os.unlink(temp_file)
except:
pass
return (
"✅ App stopped",
"<div style='text-align:center; padding:50px;'><h3>App stopped</h3></div>",
gr.update(visible=False)
)
generate_btn.click(
on_generate,
inputs=[api_key, prompt],
outputs=[code_output, status_output, app_frame, stop_btn]
)
stop_btn.click(
on_stop,
inputs=[],
outputs=[status_output, app_frame, stop_btn]
)
if __name__ == "__main__":
# Launch with minimal parameters
demo.launch(server_name="0.0.0.0", server_port=7860) |