Create your own Local Chatgpt for FREE, Full Guide: PDF, Image, & Audiochat (Langchain, Streamlit)

In this LangChain and Streamlit tutorial, I present a full guide on building your own Local Multimodal AI Chat application using local models. This comprehensive walkthrough demonstrates how you can create an advanced chat interface without relying on external platforms like OpenAI or ChatGPT. We focus on the integration of powerful tools such as Streamlit and Hugging Face, alongside LangChain, to develop a robust and versatile chat application.

Discover how to implement Whisper AI locally for effective speech-to-text conversion, allowing your app to process audio inputs seamlessly. Dive into the integration of LLaVA for sophisticated image handling, enhancing the way your app interacts with visual content. Plus, learn how to utilize Chroma DB as a vector database, which significantly enhances your app's ability to interact with and analyze PDF documents.

This tutorial is designed for learners at all levels, offering in-depth insights into utilizing LangChain, Streamlit, and Hugging Face within a local environment. Break free from the constraints of relying on external services like OpenAI and ChatGPT and embrace the independence offered by local model processing.

Join us in this all-encompassing LangChain tutorial and embark on the journey of building a Local Multimodal AI Chat application. Explore the capabilities of Whisper AI, LLaVA, and Chroma DB, and unlock the potential of creating a self-contained and interactive AI chat interface!

📚 Resources:
- Get the Code: https://github.com/Leon-Sander/local_...
- Huggingface TheBloke for quantized models: https://huggingface.co/TheBloke
- Embeeding Leaderbord: https://huggingface.co/spaces/mteb/le...
- Whisper ai models: https://huggingface.co/collections/op...
- llama-cpp-python: https://github.com/abetlen/llama-cpp-...
- Mistral model I used: https://huggingface.co/TheBloke/Mistr...

🔗 Jump to Sections
00:00 - 01:49 Introduction
01:50 - 17:29 Basic Chat Implementation
17:30 - 31:43 Chat History Implementation
31:44 - 39:57 Voice and Audio Handling with Whisper AI
39:58 - 46:04 Image Handling with llava
46:05 - 55:14 Add PDF files to Chromadb
55:15 - 1:02:07 Langchain RetrievalQA PDF Chat
1:02:07 - 1:07:49 HTML and CSS fromtend design
1:07:50 - 1:08:52 Outro

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📧 Business/Consultation Contact: [email protected]
☕ Buy me a Coffee: https://www.buymeacoffee.com/leonsand...