#chat interface
TavernAI
TavernAI provides a customizable frontend for chat and storywriting, supporting backends like KoboldAI, OpenAI, and others. Users can engage with characters in group chats, explore story modes, and utilize an online character database. The platform allows for personalization with adjustable themes and backgrounds. Advanced features such as message editing and GPT-4.5 picture recognition enhance interaction. Available for multiple platforms and accessible online via Google Colab, TavernAI integrates seamlessly with supported backends for an enhanced chat and storytelling experience.
prompta
Discover a versatile platform to interact with ChatGPT, offering features like full-text search, multi-device chat history synchronization, and a keyboard-centric interface. Users can take notes on chat responses, use local language models like Llama, and access the latest model updates. The platform allows local storage of chat history and offers customization of system messages, making it adaptable for both web and desktop environments.
viz-gpt
VizGPT uses AI to convert natural language into accurate data visualizations. Its chat interface provides a step-by-step process for constructing and editing visualizations, simplifying traditional tools' complexities. Datasets can be easily explored by uploading CSV files and utilizing chat-based interaction, ideal for those less familiar with data configuration. Emphasizing user adaptability, future updates will include features for saving visualizations and chat histories.
PDFChat
PDFChat facilitates interaction with PDF documents using advanced AI technologies such as langchain, OpenAI Embeddings, and GPT-3.5. The app uses Streamlit for an intuitive interface that ensures smooth document interaction. Users need to clone the repository, set up a conda environment, and configure the OpenAI API for installation. This tool is suitable for those looking for a straightforward method to converse with and extract insights from PDFs, offering a novel approach to document engagement. Discover the easy setup at http://localhost:8501.
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