simple-deployment

Chatbot Interface with Flask and Hugging Face Transformers

Description

This project is a chatbot interface that integrates Hugging Face's Transformers library with a Flask backend. It serves a frontend built with HTML, CSS, and JavaScript to interact with the user. The user can input text which is then processed by the Flask backend and fed into a pre-trained language model. The model's generated text is then sent back to the frontend and displayed.

Folder Structure

• frontend/: Contains all frontend HTML, CSS, and JavaScript files.

  • index.html: Main HTML file that provides the user interface.

• backend/: Contains Flask application and related backend code.

  • app.py: Main Flask application script.

• models/: Folder where pre-trained language models are saved.

• requirements.txt: Lists all Python dependencies.

How to Use

Prerequisites

1. Python 3.x
2. pip

Installation

1. Clone the repository.

   git clone https://github.com/your-repo-link.git
   

2. Navigate to the project directory.

   cd Chatbot-Interface
   

3. Install the required Python packages.

   pip install -r requirements.txt
   

Running the Application

1. Start the Flask application.

   python backend/app.py
   

2. Open a web browser and go to http://127.0.0.1:5000/.

3. Use the frontend interface to interact with the chatbot. You can choose a pre-trained model from the dropdown or upload your own.

Interacting with the Chatbot

1. Type your text into the input field and press "Send" or hit the Enter key.
2. The chatbot's response will appear below your message.

Reference

Viktor Veselov 10/28/2023