JanSamvad AI Chatbot

jansamvad_demo_1080p.mp4

A simple app to chat with an LLM which can be used to query Governemnt Schemes.

This particular app uses Ollama API to generate responses to your messages.

How to Use

1. Clone this repo:

git clone https://github.com/ravichoudhary33/demo-chatbot.git

Docker compose method (no api key required) uses ollama locally

1. Build with docker compose

docker-compose up -d --build

2. get the container id of ollama by running comamnd docker ps

 CONTAINER ID   IMAGE                             COMMAND                  CREATED       STATUS                 PORTS                      NAMES
a21426cda171   jupyter/minimal-notebook:latest   "tini -g -- start-no…"   5 hours ago   Up 5 hours (healthy)   0.0.0.0:8888->8888/tcp     jupyter
3c3bcdc419e9   demo-chatbot-gradio_app           "gradio app.py"          5 hours ago   Up 5 hours             0.0.0.0:7860->7860/tcp     demo-chatbot-gradio_app-1
ba2d75b2c2b8   ollama/ollama                     "/bin/ollama serve"      5 hours ago   Up 5 hours             0.0.0.0:11434->11434/tcp   demo-chatbot-ollama-1
bafb2793125a   chromadb/chroma:latest            "/docker_entrypoint.…"   5 hours ago   Up 5 hours             0.0.0.0:8000->8000/tcp     demo-chatbot-chromadb-vecdb-1

3. Download model using ollama container id, id will change each time when you run docker compose up command

docker exec -it ba2d75b2c2b8 ollama run llama3.2:1b

4. Open jupter notebook at 0.0.0.0:8888 in the browser, enter while asking for password since password is empty and run the vec_store_util.ipynb notebook to create collection, you can see the running container and exposed ports by using docker ps

5. Open gradio app at localhost:7860 in your browser to interact with the app