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https://github.com/hk669/chatbot-gpt3.5
Chatbot built using Flask and the OpenAI GPT-3.5 turbo model. The chatbot allows users to interact with a language model powered by GPT-3.5 turbo and get responses based on their input.
https://github.com/hk669/chatbot-gpt3.5
chatbot fine-tuning fine-tuning-llm flask-application gpt-3-5-turbo html llms openai-api python3
Last synced: 3 months ago
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Chatbot built using Flask and the OpenAI GPT-3.5 turbo model. The chatbot allows users to interact with a language model powered by GPT-3.5 turbo and get responses based on their input.
- Host: GitHub
- URL: https://github.com/hk669/chatbot-gpt3.5
- Owner: Hk669
- License: mit
- Created: 2023-07-26T15:17:36.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-08-05T10:03:03.000Z (over 1 year ago)
- Last Synced: 2024-07-24T21:57:53.426Z (6 months ago)
- Topics: chatbot, fine-tuning, fine-tuning-llm, flask-application, gpt-3-5-turbo, html, llms, openai-api, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 83 KB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Chatbot with GPT-3.5 Turbo
This is a simple chatbot built using Flask and the OpenAI GPT-3.5 turbo model. The chatbot allows users to interact with a language model powered by GPT-3.5 turbo and get responses based on their input.
https://github.com/Hk669/Chatbot-gpt3.5/assets/96101829/6212c32d-01d3-4ecf-b52f-20a6a7aa00c0
preview:
## Prerequisites
Before running the chatbot, make sure you have the following installed:
- Python
- Flask
- OpenAI Python SDK (`openai`)
You also need to obtain an API key from OpenAI to access the GPT-3.5 turbo model. Save your API key in a file named `apikey.py`, and define the API key as a variable named `OPEN_AI_KEY` in that file.
## Getting Started
1. Clone the repository to your local machine:
```shell
git clone https://github.com/Hk669/Chatbot-gpt3.5.git
```
2. Run the Flask app:
```shell
python app.py
```
The chatbot server will start running on `http://localhost:5000`.
3. Access the Chatbot
Open your web browser and navigate to `http://localhost:5000`. You will see the chat interface, and you can start interacting with the chatbot.
## How the Chatbot Works
The Flask app uses the OpenAI Python SDK (`openai`) to interact with the GPT-3.5 turbo model. The GPT-3.5 turbo model is a chat model, so it can handle back-and-forth conversations like a chatbot.
The `/ask` route in the Flask app takes user input from the frontend and sends it to the `ask_gpt3()` function, which uses the `openai.ChatCompletion.create()` method to interact with the GPT-3.5 turbo model and get a response.
## Customizing the Chatbot
You can customize the behavior of the chatbot by modifying the `ask_gpt3()` function and the initial `messages` provided to the `openai.ChatCompletion.create()` method. You can add more messages to set up the context or change the system and user roles to influence the chatbot's responses.
## Deployment
To deploy the chatbot to a production environment, consider using a production-ready WSGI server like Gunicorn or deploying it on cloud platforms like Heroku, AWS, or Azure.
Remember to keep your API key and other sensitive information secure when deploying to production.
## License
This project is licensed under the [MIT License](LICENSE).
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Feel free to enhance and improve this chatbot based on your requirements. If you have any questions or need further assistance, feel free to reach out!