OpenAI ile video karelerinden seslendirme metinleri oluşturma

# Lmchatopenai Workflow ## Overview Automated workflow: Lmchatopenai Workflow. This workflow integrates 15 different services: convertToFile, stickyNote, httpRequest, wait, code. It contains 27 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 27 - Node Types: 15 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - OpenAI Chat Model: lmChatOpenAi - Capture Frames: code - Split Out Frames: splitOut - Download Video: httpRequest - Convert to Binary: convertToFile - When clicking ‘Test workflow’: manualTrigger - Combine Script: aggregate - Upload to GDrive: googleDrive - Sticky Note: stickyNote - Sticky Note1: stickyNote - ... and 17 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible