SearchPhi

Open source and AI-powered web search engine🌐

About SearchPhi

SearchPhi is a Streamlit application that aims to implement similar features to SearchGPT, but in an open-source, local and private way.

Installation and usage

Source code

1. Clone the repository:

git clone https://github.com/AstraBert/SearchPhi.git
cd SearchPhi

1. Create a model folder, download this GGUF file and move the GGUF file in the model folder:

mkdir model
mv /path/to/Downloads/Phi-3-mini-4k-instruct-q4.gguf model/

1. Install necessary dependencies:
   • Linux:

     python3 -m venv /path/to/SearchPhi
     source /path/to/SearchPhi/bin/activate
     python3 -m pip install -r requirements.txt
     

   • Windows: ```bash python3 -m venv c:\path\to\SearchPhi c:\path\to\SearchPhi\Scripts\activate # For Command Prompt

     or

     c:\path\to\SearchPhi\Scripts\Activate.ps1 # For PowerShell

     or

     source c:\path\to\SearchPhi\Scripts\activate # For Git

python3 -m pip install -r requirements.txt

4. Run the application:

```bash
python3 -m streamlit run app.py

You’ll see the application on http://localhost:8501.

PROs: You can customize the application code (change the GGUF model, change CPU/GPU settings, change generation kwargs, modify the app interface…)

CONs: Longer and more complex installation process

Docker

1. Pull the image

docker pull astrabert/searchphi:latest

1. Run the container:

docker run -p 8501:8501 astrabert/searchphi:latest

Shortly after you submit the docker run command, the container logs will tell you that the application is up and running on http://localhost:8501.

PROs: Shorter and simpler installation process

CONs: You cannot customize the application code

Run in cloud

• GitPod workspaces: Click here to open the GitPod workspace

PROs: No local installation and you can exploit better hardwares

CONs: Limited resources

Usage note

⚠️ The Streamlit application was successfully developed and tested on a Windows 10.0.22631 machine, with 32GB RAM, 16 core CPU and Nvidia GEFORCE RTX4050 GPU (6GB, cuda version 12.3), python version 3.11.9

⚠️ The Docker container was successfully tested on a Windows 10.0.22631 machine and on a Ubuntu 22.04.3 machine

Although being at a good stage of development, the application is a beta and might still contain bugs and have OS/hardware/python version incompatibilities.

Demo

You can try out SearchPhi on this HuggingFace Space.

Here’s a video demo of what it can do:

Contributions

Contributions are more than welcome! See contribution guidelines for more information :)

Funding

If you found this project useful, please consider to fund it and make it grow: let’s support open-source together!😊

License and rights of usage

This project is provided under MIT license: it will always be open-source and free to use.

If you use this project, please cite the author: Astra Clelia Bertelli