Gain information about patients health status in between doctor's visits Put it in a structured format
Improve clinical trials effectiveness and patients well being
Given the patient’s answer….: Did it fulfill our question? [Yes, No] Do we need to ask a follow-up question? [Yes, No] What do we need to ask more specifically about? What are his symptoms and when did they occur? How can we categorize his answer (structure the data)?
Legal aspect?
-
pip install pysqlite3
-
Add your OpenAI key to
gpt3_config.yml
in this format:
GPT3_API: ab-XXXXXXXXXXXXXXXXXXXXXXXX
- Or you can add it via the
streamlit
app directly. - Install
poetry
. Follow the official site or this cookbook - Once
poetry
is installed, runpoetry install
. This will download all the packages needed (ideally in.venv
) as well as setup the repository. - To run migrations:
poetry run migrate
- To run the
streamlit
app:poetry run st-server
or bash run.sh - You will now be able to view the application @
localhost:8000
- Create a
*.yml
or*.yaml
file indatasets
, this file would be available in thestreamlit
app in the dropdown
[x] only works on streamlit run home.py when you cd into the app folder [ ] getting the script to work by just running bash script run.sh
If you use this project, do help out: Follow and Star the project
## ======================================
## DEPRECIATED
## ======================================
# Environment - Conda python3
conda env create --name envname --file=environment_droplet.yml
conda activate envname
# Install Openai and Flask
pip install openai
pip install python-dotenv
pip install Flask
pip install fpdf
# Deactivate Environment
conda deactivate
# To run Flask
$ export FLASK_APP=backend_functions.py
$ flask run