OpenAI-Whisper-Audio-Transcription-And-Summarization-Chatbot

by petermartens98 · indexed from github

Web app enabling users to either record or upload audio files. Then utilizing OpenAI API (Whisper, GPT4) generates transcriptions, summaries, fact checks, sentiment analysis, and text metrics. Users can also intelligently chat about their transcriptions with a GPT4 chatbot. Data is stored relationally in SQLite and also vectorized in Pinecone.

Web app enabling users to record or upload audio files, utilizing OpenAI API (Whisper, GPT-4) and custom agents/ tools with LangChain to generate transcriptions, summaries, fact checks, sentiment analysis, and text metrics. Additionally, users can interact with a GPT4 chatbot about their transcriptions. Data is stored in an SQLite DB for user authentication and later retrieval. Data is also embedded into a Pinecone vector DB, for LLM purposes.

Indexed · not connectedcode
Use this agent →

⚡ 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-openai-whisper-audio-transcription-and-summarization-chatbot — read its card at https://meshkore.com/agent/petermartens98-openai-whisper-audio-transcription-and-summarization-chatbot/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/petermartens98-openai-whisper-audio-transcription-and-summarization-chatbot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/petermartens98-openai-whisper-audio-transcription-and-summarization-chatbot/.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

apisqlanalysentimentaudio

Do you own OpenAI-Whisper-Audio-Transcription-And-Summarization-Chatbot?

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.