[Bug]: Is Streamlit still running? If you accidentally stopped Streamlit, just restart it in your terminal:

[syy870912-ui]

问题描述 | Current Behavior

视频执行生成到一半时出现这个东西，然后就自动停止了
Is Streamlit still running? If you accidentally stopped Streamlit, just restart it in your terminal:

重现步骤 | Steps to Reproduce

Is Streamlit still running? If you accidentally stopped Streamlit, just restart it in your terminal:

错误日志 | Error Logs

Is Streamlit still running? If you accidentally stopped Streamlit, just restart it in your terminal:

Python 版本 | Python Version

v3.10

操作系统 | Operating System

windows11

MoneyPrinterTurbo 版本 | Version

v1.2.2

补充信息 | Additional Information

No response

[syy870912-ui]

提示Connecting to Streamlit server，应该怎么操作，连续两次都是这样

[galafis]

I can help you fix this Streamlit connectivity issue. This is a common problem that occurs when the Streamlit server connection gets interrupted during video processing.

Root Cause Analysis

The error "Is Streamlit still running?" typically happens due to:

1. Port conflicts - Another process using the same port
2. Network connectivity issues - Firewall or antivirus blocking connections
3. Memory constraints - System running out of resources during processing
4. Process interruption - Background task getting terminated

Technical Solutions

1. Port Management Solution

# Kill any existing Streamlit processes
taskkill /f /im streamlit.exe
# Or find and kill specific port processes
netstat -ano | findstr :8501
taskkill /f /pid <PID_NUMBER>

2. Restart with Clean Environment

# Navigate to your MoneyPrinterTurbo directory
cd MoneyPrinterTurbo

# Clear Python cache
find . -type d -name "__pycache__" -exec rm -rf {} +

# Restart Streamlit with specific configuration
streamlit run app.py --server.port 8501 --server.headless true --server.enableCORS false

3. Windows-Specific Configuration

Create a config.toml file in .streamlit/ folder:

[server]
port = 8501
maxUploadSize = 1000
enableCORS = false
enableXsrfProtection = false
headless = true

[browser]
serverAddress = "localhost"
serverPort = 8501

4. System Resource Optimization

# Add this to your main script for better resource management
import gc
import psutil

def check_system_resources():
    memory = psutil.virtual_memory()
    if memory.percent > 85:
        gc.collect()
        print(f"Memory usage: {memory.percent}% - Running garbage collection")
    return memory.percent < 90

# Call this before starting video generation
if check_system_resources():
    # Continue with video processing
    pass
else:
    print("System resources low - please close other applications")

5. Enhanced Error Handling

Modify your video generation code to handle Streamlit disconnections:

import streamlit as st
import time
from contextlib import contextmanager

@contextmanager
def streamlit_connection_handler():
    try:
        yield
    except st.runtime.scriptrunner.StopException:
        st.error("Connection lost - attempting to reconnect...")
        time.sleep(2)
        st.rerun()
    except Exception as e:
        st.error(f"Unexpected error: {str(e)}")
        st.info("Please refresh the page and try again")

# Use in your video generation function
with streamlit_connection_handler():
    # Your video generation code here
    generate_video()

6. Immediate Fix Steps

1. Close all browser tabs with the application
2. Open Task Manager → End all python.exe and streamlit.exe processes
3. Restart command prompt as administrator
4. Run: cd your_project_directory
5. Execute: streamlit run app.py --server.headless true
6. Wait 10 seconds before opening browser
7. Use localhost:8501 directly instead of the auto-opened URL

7. Prevention Strategy

• Monitor system resources before starting video generation
• Use smaller batch sizes for video processing
• Enable auto-save checkpoints during long operations
• Consider running in virtual environment for better isolation

Alternative Approach

If the issue persists, consider running the core video generation logic separately from Streamlit:

# Run video generation in background
python video_generator.py --batch-mode
# Then use Streamlit only for UI and monitoring

Try solution #6 first as it addresses the most common causes. Let me know if you need help with any of these implementations!

Gabriel