Spaces:
Build error
Build error
File size: 1,660 Bytes
15ad3d7 ca27c3a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
title: Custom Chatgpt
emoji: 💩
colorFrom: gray
colorTo: pink
sdk: gradio
sdk_version: 3.24.1
app_file: app.py
pinned: false
---
# Custom-trained AI Chatbot
This repository contains a custom-trained AI chatbot that uses OpenAI's GPT-3.5 Turbo model to provide responses based on a user's input. The chatbot utilizes an index of documents to generate relevant and informative responses.
## Prerequisites
Before you begin, ensure you have the following installed on your machine:
- Python 3.6 or higher
- [pip](https://pip.pypa.io/en/stable/installation/)
## Installation
1. Clone the repository:
`git clone https://github.com/yourusername/your-repo-name.git`
`cd your-repo-name`
2. Install the required packages:
`pip install -r requirements.txt`
3. Create a `.env` file in the project's root directory and add your OpenAI API key:
`OPENAI_API_KEY=your_openai_api_key`
## ChatGPT model name
`model_name="gpt-3.5-turbo"`
_Most capable GPT-3.5 model and optimized for chat at 1/10th the cost of text-davinci-003._
or
`model_name="text-davinci-003"`
## Usage
1. Place your documents in the `docs` directory.
2. Run the `app.py` script:
`python app.py`
3. Open the Gradio interface in your web browser, enter your text in the input textbox, and click "Submit" to get a response from the chatbot.
## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
## Setup at Hugging Face
Check out the configuration reference at
https://huggingface.co/docs/hub/spaces-config-reference
## License
[MIT](https://choosealicense.com/licenses/mit/)
|