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Ted, The Deep-Learning Chatbot

Ted is a Python chatbot that uses natural-language processing and deep learning to classify user messages into broader categories and return suitable replies or information. It is served with Flask, and its public MIT-licensed repository includes instructions for local execution.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Ted, The Deep-Learning Chatbot — OpenViST project profile in Chat & Assistants.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Ted as a starting point for exploring message classification and chatbot interaction, or to try its documented local launch process. The project describes daily-task assistance in general terms without listing particular tasks.

Who it is for

  • Developers exploring a Python and Flask chatbot prototype.
  • People seeking a conversational assistant for general routine requests, as described by the project.

Documented uses

  • Classify a conversational message and return a suitable reply.
  • Respond with information requested through a chat interaction.
  • Explore or run a Flask-based chatbot locally.
Before you choose

Requirements & limits

The public GitHub repository identifies an MIT license and provides local-run instructions.

  • The project uses Python 3, NLP, deep learning, and Flask.
  • The README lists requirements in requirements.txt but does not enumerate them in the provided instructions.
  • The documented FLASK_APP command uses Windows Command Prompt syntax.
  • The description refers to daily tasks broadly and does not specify task coverage or integrations.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Run Ted locally

Launch the chatbot locally and open its web interface using the repository's README instructions.

Before you start

  • A system with Python 3 and Command Prompt, as specified by the project description and instructions.
  • The Git command-line tool to clone the repository.
  • Libraries listed in the repository's requirements.txt file.

Steps

  1. Clone the repository with git clone https://github.com/Karan-Malik/Chatbot.git, then change into the Chatbot directory.

  2. Check requirements.txt and use pip to install any listed libraries that are missing.

  3. Set FLASK_APP to chatbot.py with set FLASK_APP=chatbot.py, then run flask run.

  4. Open the URL printed after Flask starts in a web browser.

Expected outcome

A locally launched Flask chatbot interface for sending messages to Ted.

Guide limitations

  • The README gives Windows Command Prompt syntax for setting FLASK_APP; it does not document equivalent commands for other shells or operating systems.
  • The guide documents setup and launch steps, not specific supported daily-task requests or integrations.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
12 October 2026
Original website title
Karan-Malik/Chatbot · Official homepage title · retained in its source language
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