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| title: CSI 4180 Final Project | |
| sdk: gradio | |
| sdk_version: 4.27.0 | |
| colorFrom: purple | |
| colorTo: gray | |
| app_file: app.py | |
| pinned: false | |
| # CSI4180_Homework4 | |
| Homework 4 for CSI 4180 (NLP App) | |
| Please visit my app at https://huggingface.co/spaces/emma7897/CSI_4180_Final_Project | |
| **Files:** | |
| userGuide.pdf: Required file for submitting this assignment. Not needed for running the code. | |
| fine_tuning_number_one.py: This file was created using Google Colab. It contains code for fine tuning my BERT and DistilBERT models on a dataset for mask filling. | |
| fine_tuning_number_two.py: This file was created using Google Colab. It contains code for fine tuning my BERT and DistilBERT models on a dataset of AI-generated stories for children. | |
| requirements.txt: This file contains the necessary packages that Hugging Face needs to install for my space to run properly. | |
| app.py: This file contains all of my code that is needed to run my space on Hugging Face. | |
| **Instructions for running app.py:** | |
| Example command: python3 app.py | |
| Change the last line of the code to "screen.launch(share=True)". This will print one local and one public URL to access the application. Before running this file, make sure that the following packages are installed: transformers, torch, nltk, and datasets. | |
| **Credit to AI:** | |
| I utilized GitHub Copilot to assist me. I used this tool to help me adjust the training arguments in the files: fine_tuning_number_one.py and fine_tuning_number_two.py. |