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README.md
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---
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title:
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emoji: ⚡
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colorFrom: blue
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colorTo: indigo
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sdk: gradio
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sdk_version: 4.31.5
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app_file: app.py
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pinned: false
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short_description: Chat with AI with ⚡Lightning Speed
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---
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# H GO
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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.
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## Features
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- **Multiple Model Support**: Choose from various models such as Nous Hermes, StarChat, Mistral, and Phi.
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- **Real-time Interaction**: Get quick and concise responses from the selected model.
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- **Customizable**: Easily switch models to suit your specific requirements.
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## Setup
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### Prerequisites
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- Python 3.7+
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- Gradio
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- Hugging Face Hub
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- Git LFS (Large File Storage)
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### Installation
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1. Clone the repository:
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```bash
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# Make sure you have git-lfs installed (https://git-lfs.com)
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git lfs install
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# When prompted for a password, use an access token with write permissions.
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# Generate one from your settings: https://huggingface.co/settings/tokens
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git clone https://huggingface.co/spaces/HarshanaLF/Real-Time-Chat-with-AI
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# If you want to clone without large files - just their pointers
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GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/spaces/HarshanaLF/Real-Time-Chat-with-AI
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```
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2. Navigate to the project directory:
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```bash
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cd Real-Time-Chat-with-AI
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```
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3. Install the required dependencies:
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```bash
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pip install gradio huggingface_hub
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```
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## Usage
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Run the application using the following command:
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```bash
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python app.py
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```
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## Model Descriptions
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- **Nous Hermes Mixtral 8x7B DPO**: A robust model designed for detailed and nuanced conversation handling.
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- **StarChat2 15b**: A large-scale model optimized for general chat interactions with a wide range of topics.
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- **Mistral 7B v0.3**: A smaller, efficient model suitable for fast and responsive chat applications.
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- **Phi 3 mini**: A compact model focusing on instructive and concise responses.
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- **Mixtral 8x7B**: A versatile model capable of handling various conversational contexts effectively.
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```
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```
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---
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title: CHAT_FLASH
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emoji: ⚡
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colorFrom: blue
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colorTo: indigo
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sdk: gradio
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sdk_version: 4.31.5
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app_file: app.py
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pinned: false
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short_description: Chat with AI with ⚡Lightning Speed
|
11 |
+
---
|
12 |
+
|
13 |
+
# H GO
|
14 |
+
|
15 |
+
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.
|
16 |
+
|
17 |
+
## Features
|
18 |
+
|
19 |
+
- **Multiple Model Support**: Choose from various models such as Nous Hermes, StarChat, Mistral, and Phi.
|
20 |
+
- **Real-time Interaction**: Get quick and concise responses from the selected model.
|
21 |
+
- **Customizable**: Easily switch models to suit your specific requirements.
|
22 |
+
|
23 |
+
## Setup
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24 |
+
|
25 |
+
### Prerequisites
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26 |
+
|
27 |
+
- Python 3.7+
|
28 |
+
- Gradio
|
29 |
+
- Hugging Face Hub
|
30 |
+
- Git LFS (Large File Storage)
|
31 |
+
|
32 |
+
### Installation
|
33 |
+
|
34 |
+
1. Clone the repository:
|
35 |
+
|
36 |
+
```bash
|
37 |
+
# Make sure you have git-lfs installed (https://git-lfs.com)
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38 |
+
git lfs install
|
39 |
+
|
40 |
+
# When prompted for a password, use an access token with write permissions.
|
41 |
+
# Generate one from your settings: https://huggingface.co/settings/tokens
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42 |
+
git clone https://huggingface.co/spaces/HarshanaLF/Real-Time-Chat-with-AI
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+
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+
# If you want to clone without large files - just their pointers
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+
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/spaces/HarshanaLF/Real-Time-Chat-with-AI
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```
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+
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+
2. Navigate to the project directory:
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+
|
50 |
+
```bash
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cd Real-Time-Chat-with-AI
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```
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+
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+
3. Install the required dependencies:
|
55 |
+
|
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+
```bash
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pip install gradio huggingface_hub
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+
```
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+
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+
## Usage
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+
|
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+
Run the application using the following command:
|
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+
|
64 |
+
```bash
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python app.py
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+
```
|
67 |
+
|
68 |
+
## Model Descriptions
|
69 |
+
|
70 |
+
- **Nous Hermes Mixtral 8x7B DPO**: A robust model designed for detailed and nuanced conversation handling.
|
71 |
+
- **StarChat2 15b**: A large-scale model optimized for general chat interactions with a wide range of topics.
|
72 |
+
- **Mistral 7B v0.3**: A smaller, efficient model suitable for fast and responsive chat applications.
|
73 |
+
- **Phi 3 mini**: A compact model focusing on instructive and concise responses.
|
74 |
+
- **Mixtral 8x7B**: A versatile model capable of handling various conversational contexts effectively.
|
75 |
+
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```
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```
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