Been building something that I'm actually excited to share, instead of just thinking about my next job. I wanted to create moral story videos for YouTube — the kind with AI images, voiceover, and background music. Simple idea. But as a Python fullstack developer I thought... why manually do this when I can automate the whole thing? I already have experience in building Agentic AI architecture using langchain, Langgraph, RAG, so just brushing the skills. I built StoryForge. You paste a story. It gives you a YouTube-ready animated video. Here's what happens under the hood: → Azure OpenAI reads your story and splits it into scenes automatically (with image prompts for each scene) → LangGraph processes all scenes in parallel — images and voice generated simultaneously, not one by one → AI generates the visuals for free → edge-tts handles the narration → MoviePy stitches everything together — images synced to audio, subtitles, background music → FastAPI serves the whole thing with a clean UI and live progress streaming via SSE The part I enjoyed most was the LangGraph pipeline. Instead of processing 6 scenes sequentially (which would take forever), the Send API fans out all scenes in parallel. What used to take 3+ minutes now finishes in under 45 seconds. The entire pipeline costs roughly ₹2 per video (just the Azure OpenAI scene parsing call). Images and voice are free. Next up — adding emotional voice using Azure Speech Service so the narration actually feels like a story, not a robot reading text. Still a side project but it's been a good learning exercise, with no job in hand. Indeed the difficult time for every job seeker, but keeping yourself busy with something is the best thing to do. #Python #FastAPI #LangGraph #AzureOpenAI #GenerativeAI #SideProject #BuildInPublic #layoff
Automate YouTube Videos with StoryForge using LangGraph and Azure OpenAI
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