ingridstevens / whisper-audio-transcriber Goto Github PK

I'm interested in using LLMs to improve access to knowledge: making access more affordable, faster, and accurate. My projects often involve developing tools that simplify the complexities of information, especially in traditionally convoluted domains, ensuring accessibility for all.

Let's connect and collaborate! 😁

• LinkedIn: Tell me about your projects! Send me a message via LinkedIn
• Medium: Read my latest Medium articles on AI

Empower legal professionals and those seeking more legal knowledge to interact with legal documents seamlessly. Leveraging OpenAI's API and Pinecone for vector storage, this project creates a legal chatbot equipped with knowledge about German residency law.

Check out the project

Enhance accessibility to audio content by converting it into text and enabling interactive querying. Utilizing OpenAI's Whisper API, LangChain's RecursiveCharacterTextSplitter, and Ollama Embeddings, this notebook facilitates seamless interaction with audio files.

Check out the project

Experience the power of open-source models through an intuitive interface. With LangChain’s Ollama integration and buffer memory, this app enables hassle-free interaction with local Language Models, offering a clean and accessible platform for engaging conversations.

Chat locally