Update README

README.md

@@ -1,59 +1,39 @@
-# Towards AI 🤖: An AI Question-Answering Bot
+# Building and Deploying a Gradio UI on Hugging Face Spaces
 
 ## Overview
 
-**Towards AI 🤖** is a question-answering bot designed to assist students with queries related to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). It leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to provide insightful answers, utilizing a vector database for efficient retrieval of knowledge.
+This repository contains the code of the "Building and Deploying a Gradio UI on Hugging Face Spaces" lesson of the "From Beginner to Advanced LLM Developer" course.
 
-## Features
-
-- AI, ML, and DL question-answering capabilities.
-- Integration with ChromaDB for persistent storage.
-- Utilizes OpenAI's models for generating responses.
-- Gradio interface for easy interaction.
-- Memory management for maintaining conversation context.
-
-## Requirements
+## Setup
 
-Make sure you have installed the dependencies from requirements.txt file.
+1. Clone the repository.
 
 ```bash
-pip install -r requirements.txt
+git clone git@github.com:towardsai/ai-tutor-gradio-lesson.git
+cd ai-tutor-gradio-lesson
 ```
 
-## Setup
-
-1. **Clone the Repository**
-    
-   ```bash
-   git clone https://huggingface.co/yourusername/towards-ai
-   cd towards-ai
-   ```
+2. Create a `.env` file and add there your OpenAI API key. Its content should be something like:
 
-2. **Environment Variables**
-
-    Create a .env file in the project root and set the following variables:
-    ```bash
-    OPENAI_API_KEY=
-    LOGFIRE_TOKEN=
-    COHERE_API_KEY=
-    MONGODB_URI= 
-    DB_NAME=ai_tutor_knowledge
-   ```
-3. **Download the Vector Database**
-   
-   The bot requires a pre-trained vector database. If it doesn't exist locally, it will automatically download it from Hugging Face Hub when you run the code.
+```bash
+OPENAI_API_KEY="sk-..."
+```
 
-4. **Usage**
+3. Create a local virtual environment, for example using the `venv` module. Then, activate it.
 
-    To start the chatbot, run the following command:
-    ```bash
-    python app.py
-   ```
+```bash
+python -m venv venv
+source venv/bin/activate
+```
 
-5. **Gradio Interface**
+4. Install the dependencies.
 
-    Once the application is running, you can access the chatbot interface at http://localhost:7860.
+```bash
+pip install -r requirements.txt
+```
 
-6. **Interacting with the Bot**
+5. Launch the Gradio app.
 
-   You can ask the bot any question related to AI, ML, or DL. The bot is designed to provide clear, complete answers based on its knowledge base.
+```bash
+python app.py
+```