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🚀 Project Setup Guide

This project supports both Hugging Face models and Ollama models.
Follow the instructions below to set up and run the project.

⚡ Quick Start + 🐍 Miniconda & Conda Environment

sudo apt update && sudo apt upgrade -y

sudo apt install -y iproute2 libgl1 nano wget unzip nvtop git git-lfs build-essential cmake \
libopenblas-dev liblapack-dev libx11-dev libgtk-3-dev libglib2.0-0


# Install Miniconda
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod +x Miniconda3-latest-Linux-x86_64.sh
./Miniconda3-latest-Linux-x86_64.sh -b -p $HOME/miniconda3

# Setup conda
export PATH="$HOME/miniconda3/bin:$PATH"
conda init
source ~/.bashrc

# Create environment
conda create --name YT python=3.12 -y
conda activate YT

# Clone project
git config --global credential.helper store
git clone https://huggingface.co/WalidAlHassan/Chat-with-YouTube-Video
cd Chat-with-YouTube-Video

# Install dependencies
pip install -r requirements.txt

🤖 Model Setup

🔹 If using Ollama models

curl -fsSL https://ollama.com/install.sh | sh
ollama pull nomic-embed-text-v2-moe
ollama pull gemma4:e4b

🔹 If using Hugging Face models

Create a .env file in the root directory and add:

HF_TOKEN=your_huggingface_api_key_here

✅ Run!

streamlit run streamlit_app.py

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