https://github.com/docsallover/flask-chatbot

This is a simple chatbot application made using Flask and Microsoft DialoGPT. The application allows users to chat with the chatbot using natural language and receive human-like responses.
https://github.com/docsallover/flask-chatbot

chatbot dialogpt dialogpt-medium flask machine-learning microsoft python python3 pytorch transformers-models

Last synced: 2 days ago
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This is a simple chatbot application made using Flask and Microsoft DialoGPT. The application allows users to chat with the chatbot using natural language and receive human-like responses.

• Host: GitHub
• URL: https://github.com/docsallover/flask-chatbot
• Owner: docsallover
• License: mit
• Created: 2025-01-01T08:25:52.000Z (23 days ago)
• Default Branch: main
• Last Pushed: 2025-01-01T08:43:12.000Z (23 days ago)
• Last Synced: 2025-01-01T09:22:21.789Z (23 days ago)
• Topics: chatbot, dialogpt, dialogpt-medium, flask, machine-learning, microsoft, python, python3, pytorch, transformers-models
• Language: HTML
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ChatBot Using DialoGPT & Flask

This is a simple chatbot application made using Flask and Microsoft DialoGPT. The application allows users to chat with the chatbot using natural language and receive human-like responses.

## ChatBot Description

- Carry out conversations with users using natural language processing

- Use Microsoft DialoGPT to generate human-like responses

- Integrate DialoGPT with Flask to create a web application

- Use HTML, CSS, and JavaScript to create a visually appealing and interactive chat interface

- Use jQuery to handle HTTP requests to the backend server

## ChatBot Link

The Chatbot is constructed using the Microsoft/DialoGPT-medium model.

Link: https://huggingface.co/microsoft/DialoGPT-medium

## Installation & Setup

1. Clone the repository

2. Set up a virtual environment by running `python -m venv env` (on Windows) or `python3 -m venv env` (on Linux and macOS)

3. Activate the virtual environment by running `env\Scripts\activate` (on Windows) or `source env/bin/activate` (on Linux and macOS)

4. Install the required packages by running `pip install -r requirements.txt`

5. Note: The requirements will necessitate downloading large amounts of data for the model, so please be cautious about data usage on metered connections.

6. Run the application by running `python app.py`

7. Open a web browser and navigate to http://127.0.0.1:5000/

8. Start chatting with the chatbot using natural language. You can start with a simple question like "Hello", "How are you?".

## Dependencies

The system requires the following dependencies:

- flask

- transformers

- torch

## Screenshot

![Screenshot](screenshot.png)

## License

This project is licensed under the MIT License. See the LICENSE file for more details.

## Visit and Follow

For more details and tutorials, visit the website: [DocsAllOver](https://docsallover.com/).

Follow us on:

- [Facebook](https://www.facebook.com/docsallover)

- [Instagram](https://www.instagram.com/docsallover.tech/)

- [x.com](https://www.x.com/docsallover/)

- [LinkedIn](https://www.linkedin.com/company/docsallover/)

- [YouTube](https://www.youtube.com/@docsallover)

- [Threads.net](https://threads.net/docsallover.tech)

and visit our website to know more about our tutorials and blogs.