streamlit_whisper_transcription
Streamlit Audio Transcription with OPENAI's Whisper Ai: An interactive Streamlit app demonstrating real-time audio transcription using OPENAI's Whisper Ai.
This Streamlit application demonstrates the capabilities of OpenAI's Whisper ASR (Automatic Speech Recognition) system. Users can record or upload audio files in various formats and receive transcriptions generated by Whisper in real-time. Transcriptions can be saved as text files and downloaded for further use.
⚡ 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/leopoldpoldus-streamlitwhispertranscription — read its card at https://meshkore.com/agent/leopoldpoldus-streamlitwhispertranscription/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/leopoldpoldus-streamlitwhispertranscriptionFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/leopoldpoldus-streamlitwhispertranscription/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own streamlit_whisper_transcription?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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