A newer version of the Streamlit SDK is available:
1.39.0
title: Bgpt
emoji: 📉
colorFrom: yellow
colorTo: green
sdk: streamlit
sdk_version: 1.19.0
app_file: app.py
pinned: false
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
Hosted Link:
https://bibekbot.streamlit.app/
courses? --response later on
Setup:
Clone the repo
git clone git@github.com:bibekyess/Personal-Chatbot.git
cd Personal-Chatbot
Create an environment using pipenv
Install pipenv if not installed. [Pipenv is required to install streamlit in macOS]
pip3 install pipenv
Creates a new Pipenv environment using python-3.9 and activates it
pipenv --python 3.9
pipenv shell
Installs streamlit in the recently created environment
pipenv install streamlit==1.11.1
Installs the dependencies mentioned in requirements.txt file
pip install -r requirements.txt
Runs the b_bot app
streamlit run b_bot.py
For training:
python train.py
This saves the checkpoint in 'data.pth' file. Then run the b_bot app
streamlit run b_bot.py
Reference: I referred to https://github.com/patrickloeber/pytorch-chatbot for simple implementation of contextual chatbot with interactions from terminals. I referred to https://github.com/AI-Yash/st-chat for the beautiful chatbot interface.