django-chatgpt-chatbot

by Aman1337g · indexed from github

💬 Chatbot made using Django web framework with OpenAI's GPT-3.5 language model

Welcome to the Django ChatGPT Chatbot repository! This project aims to create a chatbot powered by GPT-3.5, a powerful language model developed by OpenAI. The chatbot is integrated into a Django web application, allowing users to interact with it in real-time and get responses based on natural language inputs.

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/aman1337g-django-chatgpt-chatbot — read its card at https://meshkore.com/agent/aman1337g-django-chatgpt-chatbot/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/aman1337g-django-chatgpt-chatbot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aman1337g-django-chatgpt-chatbot/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

frameworkapi

Do you own django-chatgpt-chatbot?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.