Flask Chatbot Application

Overview

This is a simple chatbot application built using Flask and DeepSeek AI. The application includes user authentication, a chat interface, and a deep learning model for generating chatbot responses.

Features

• User registration and authentication
• Chat interface with AI-generated responses
• SQLite database for user management
• Dockerized for easy deployment

Prerequisites

Make sure you have the following installed before running the application:

• Python 3.9+
• Docker
• pip

Installation

1. Clone the repository:

   git clone https://github.com/parvvaresh/deepspeek
   cd deepspeek

2. Install dependencies:

   pip install -r requirements.txt

3. Download the deep learning model:

   chmod +x dl_model.sh
   ./dl_model.sh

4. Initialize the database:

   python app.py

Running the Application

Using Python

python app.py

Using Docker

1. Build the Docker image:

   docker build -t flask-chatbot .

2. Run the container:

   docker run -p 9090:9090 flask-chatbot

API Endpoints

• GET / - Home page
• GET /register - Registration page
• POST /register - Handle user registration
• GET /login - Login page
• POST /login - Handle user login
• GET /chat - Chat interface
• POST /chat - Get AI-generated chatbot response

Technologies Used

• Flask
• SQLite
• Bcrypt
• Ollama AI
• Docker

License

This project is open-source and available under the MIT License.