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| 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 | |
| <img width="867" alt="image" src="https://user-images.githubusercontent.com/65396462/227823151-bd445aeb-d0be-46b4-9cbe-550445b889f5.png"> | |
| ## 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 | |