petermartens98

Python Streamlit web app utilizing OpenAI (GPT4) and LangChain LLM tools with access to Wikipedia, DuckDuckgo Search, and a ChromaDB with previous research embeddings. Ultimately delivering a research report for a user-specified input, including an introduction, quantitative facts, as well as relevant publications, books, and youtube links. Maintained by petermartens98 on GitHub, where it has earned 72 stars from the community.

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. Maintained by petermartens98 on GitHub, where it has earned 68 stars from the community.

Python Streamlit web app allowing users to interact with their data from a CSV or XLSX file, utilizing OpenAI API and LangChain. It imports necessary libraries, handles API key loading, displays a user-friendly interface for file upload and data preview, creates a Pandas DF agent with OpenAI, and executes user queries. Maintained by petermartens98 on GitHub, where it has earned 64 stars from the community.

Streamlit web app utilizing OpenAI (GPT-4) and LangChain LLM tools. Application includes an SQLite DB for login/authentication and message storage for later retrieval. Users can upload/embed their own PDF documents for chatbot reference. The user can then interact with a GPT-4 chatbot intended for the user's specified input, context, and scenario. Maintained by petermartens98 on GitHub, where it has earned 34 stars from the community.