Welcome to the Multi-AI-Apps-Repository! My weekend work of last two weeks. This repository contains various AI-driven projects and applications, including document processing, stock analysis, voicebots, and more.
Each project is contained within its own folder and serves a unique purpose in the AI, NLP, and automation space.
App Name | Latest Commit | Description |
---|---|---|
LaTeX-OCR-with-Llama |
Update README.md | Extract LaTeX content from documents using Llama-based OCR. |
ai_news_generator |
Create README.md | Generate AI-curated news summaries using NLP techniques. |
autogen-stock-analyst |
Update README.md with correct package | An AI-powered stock market analysis and report generator. |
content_planner_flow |
Update README.md | A tool for automating and planning content creation workflows. |
document-chat-rag |
Added open in studio button | RAG-based document chatbot for querying and analysis. |
llama-ocr |
Create README.md | OCR engine powered by Llama for text extraction. |
multi-modal-rag |
Adding tutorial for multimodal prompting | Implements multimodal RAG for combining text and image prompts. |
openai-swarm-ollama |
Updated demo notebook for open-ai swarm | Demo showcasing OpenAI swarm with Ollama integration. |
real-time-voicebot |
Initial implementation | A real-time AI-driven voicebot for live interactions. |
Each folder contains its own README.md
with setup instructions and documentation for that specific project. Follow the steps below to explore the projects:
-
Clone the repository:
git clone https://github.com/sachnaror/Multi-AI-Apps.git
-
Navigate to the desired app:
cd <app-name>
-
Follow the specific setup instructions provided in each app's
README.md
.
Some common tools and libraries required across these projects include:
- Python 3.8+
- OpenAI API
- Ollama (for Llama models)
- Hugging Face Transformers
- FastAPI (for APIs)
- Streamlit (for UI interfaces)
Refer to each app's documentation for specific dependencies and installation steps.
Contributions are welcome! To contribute:
- Fork the repository.
- Create a new branch:
git checkout -b feature/new-feature
- Commit your changes:
git commit -m "Add new feature"
- Push to the branch:
git push origin feature/new-feature
- Open a Pull Request.
For questions or support, reach out to:
- Email: schnaror@gmail.com
- GitHub: Your GitHub Profile
Happy Coding! 🚀