Skip to content

Latest commit

 

History

History
99 lines (60 loc) · 2.85 KB

README.md

File metadata and controls

99 lines (60 loc) · 2.85 KB
Raw

📖 EmbedChain-Streamlit-Docker App Template

A Video Guide

https://youtu.be/yJAWB13FhYQ

🔧 Features

  • Basic Skeleton App configured with openai API
  • A ChatBot using embedchain and Streamlit
  • Docker Support with Optimisation Cache etc
  • Deployment on Streamlit Public Cloud

This repo contains an main.py file which has a template for a chatbot implementation.

Example Input Data:

Select the number of Data Sources from slider and enter the details.

Source URL
youtube https://www.youtube.com/watch?v=3qHkcs3kG44
pdf_file https://navalmanack.s3.amazonaws.com/Eric-Jorgenson_The-Almanack-of-Naval-Ravikant_Final.pdf
web https://nav.al/feedback
qna_pair "Who is Naval Ravikant?", "Naval Ravikant is an Indian-American entrepreneur and investor."

Question: What unique capacity does Naval argue humans possess when it comes to understanding explanations or concepts?

Adding your chain

To add your chain, you need to change the load_chain function in main.py. Depending on the type of your chain, you may also need to change the inputs/outputs that occur later on.

💻 Running Locally

  1. Clone the repository📂
git clone https://github.com/amjadraza/embedchain-streamlit-app.git
  1. Install dependencies with Poetry and activate virtual environment🔨
poetry install
poetry shell
  1. Run the Streamlit server🚀
streamlit run demo_app/main.py

Run App using Docker

This project includes Dockerfile to run the app in Docker container. In order to optimise the Docker Image size and building time with cache techniques, I have follow tricks in below Article https://medium.com/@albertazzir/blazing-fast-python-docker-builds-with-poetry-a78a66f5aed0

Build the docker container

docker build . -t embedchain-streamlit-app:latest

To generate Image with DOCKER_BUILDKIT, follow below command

DOCKER_BUILDKIT=1 docker build --target=runtime . -t embedchain-streamlit-app:latest

  1. Run the docker container directly

docker run -d --name embedchain-streamlit-app -p 8080:8080 embedchain-streamlit-app:latest

  1. Run the docker container using docker-compose (Recommended)

docker-compose up

Deploy App on Streamlit Public Cloud

This app can be deployed on Streamlit Public Cloud using GitHub. Below is the Link to Publicly deployed App

https://embedchain.streamlit.app/

Report Feedbacks

As embedchain-streamlit-app:latest is a template project with minimal example. Report issues if you face any.

DISCLAIMER

This is a template App, when using with openai_api key, you will be charged a nominal fee depending on number of prompts etc.