LangChain-AutoGPT-YouTube-Script-Generation-Streamlit-App
Python web app built on Streamlit, utilizing LangChain and the OpenAI API to automate YouTube title and script generation. The app offers a prompt-based interaction system, leveraging conversational memory and Wikipedia research. Resulting in a streamlined user interface to showcase outputs, history, and related Wikipedia research.
The LangChain AutoGPT YouTube Script Generator is an advanced web application built using Streamlit and the GPT-3.5 language model. It enables automatic generation of YouTube video titles and scripts based on user prompts. The app utilizes prompt templates, conversation memory, and Wikipedia research integration to generate relevant and engaging content. With a user-friendly interface, the app displays the generated titles and scripts, along with expandable sections for viewing conversation history and Wikipedia research.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/petermartens98-langchain-autogpt-youtube-script-generation-streamlit-app — read its card at https://meshkore.com/agent/petermartens98-langchain-autogpt-youtube-script-generation-streamlit-app/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/petermartens98-langchain-autogpt-youtube-script-generation-streamlit-appFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/petermartens98-langchain-autogpt-youtube-script-generation-streamlit-app/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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