metadata

title: CHAT_FLASH
emoji: ⚡
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.31.5
app_file: app.py
pinned: false
short_description: Chat with AI with ⚡Lightning Speed

H GO

Inspired by Google Go, H GO is a concise and efficient chat interface that leverages various language models hosted on Hugging Face. It uses Gradio for the user interface and supports different models to cater to diverse needs.

Features

Multiple Model Support: Choose from various models such as Nous Hermes, StarChat, Mistral, and Phi.
Real-time Interaction: Get quick and concise responses from the selected model.
Customizable: Easily switch models to suit your specific requirements.

Setup

Prerequisites

Python 3.7+
Gradio
Hugging Face Hub
Git LFS (Large File Storage)

Installation

Clone the repository:

# Make sure you have git-lfs installed (https://git-lfs.com)
git lfs install

# When prompted for a password, use an access token with write permissions.
# Generate one from your settings: https://huggingface.co/settings/tokens
git clone https://huggingface.co/spaces/HarshanaLF/Real-Time-Chat-with-AI

# If you want to clone without large files - just their pointers
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/spaces/HarshanaLF/Real-Time-Chat-with-AI

Navigate to the project directory:
```
cd Real-Time-Chat-with-AI
```
Install the required dependencies:
```
pip install gradio huggingface_hub
```

Usage

Run the application using the following command:

python app.py

Model Descriptions

Nous Hermes Mixtral 8x7B DPO: A robust model designed for detailed and nuanced conversation handling.
StarChat2 15b: A large-scale model optimized for general chat interactions with a wide range of topics.
Mistral 7B v0.3: A smaller, efficient model suitable for fast and responsive chat applications.
Phi 3 mini: A compact model focusing on instructive and concise responses.
Mixtral 8x7B: A versatile model capable of handling various conversational contexts effectively.