metadata

title: Patentability
emoji: 🏃
colorFrom: red
colorTo: yellow
sdk: streamlit
sdk_version: 1.19.0
app_file: patent_app.py
pinned: false

cs-gy-6613-project

Installation steps

Install VSCode

Install appropriate VSCode based on the OS.

Install Docker Desktop and WSL2

WSL2 was already installed in my laptop but if you want to install it follow a youtube video.
Through WSL2, I installed the ubuntu distribution using the command "wsl --install -d ubuntu". Other distributions can be downloaded in similar manner.
I installed Docker Desktop by following a youtube video. The wsl2 configuration would already be enabled if the system is compatible. If not, you can enable it manually through the Docker desktop settings.

Screenshot of docker container in the terminal prompt

Patentability Decision Classifier App

The finetuning of the model was done on Google Colab Notebook with the GPU runtime. The .ipynb file for that is the Finetuning_patent_decision_classifier.ipynb file.

The streamlit app to preview it was hosted on the HF spaces. The code for that can be found in patent_app.py