--- 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](https://code.visualstudio.com/download) based on the OS. ### Install Docker Desktop and WSL2 1. WSL2 was already installed in my laptop but if you want to install it follow a [youtube](https://www.youtube.com/watch?v=n-J9438Mv-s&t=4s) video. 2. Through WSL2, I installed the ubuntu distribution using the command "wsl --install -d ubuntu". Other distributions can be downloaded in similar manner. 3. I installed Docker Desktop by following a [youtube](https://www.youtube.com/watch?v=iJeL2tOFfvM) 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 image ## 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