EASILY create Q&A Application using Embeddings with CUSTOM data

---

---

AI Summary

- Introduction to creating a QA system  
  - Users can ask questions and receive relevant answers  
  - Utilizes text AI and embeddings  
  - Tutorial includes step-by-step instructions  
  
- Preparation Steps  
  - Subscribe to the YouTube channel for AI content  
  - Create a virtual environment with `conda`  
  - Install necessary packages including `textai`, `gradio`, `torch`, and `torchvision`  
  
- Building the QA System  
  - Create `qa.py` file  
  - Import necessary modules (`datasets`, `embeddings` from `textai`)  
  - Load `web questions` dataset from Hugging Face  
  - Initialize and index embeddings  
  - Save embeddings to a file for application use  
  - Implement search function to query embeddings database  
  - Test the system with a sample question  
  
- Creating the User Interface  
  - Create `ui.py` file  
  - Import `gradio` and `textai.app`  
  - Load saved embeddings  
  - Define `search_questions` function  
  - Create interface with `gradio`  
  - Launch the interface and test with questions  
  
- Conclusion  
  - Demonstrated how to create a QA system with a user interface  
  - Encouragement to subscribe for more similar content