Team Ai
Apppublic

v-nemala/toxic-comment-classification

sourceHugging Faceupdated 3y agoView on Hugging Face
0likes
App README

<!--- --- title: Sentiment Analysis emoji: 😄 colorFrom: blue colorTo: pink sdk: streamlit sdkversion: 1.17.0 appfile: app.py pinned: false --- --->

CS482-Project

CS482-Project - Vaisnavi Nemala

Milestone 1 - Docker Installation

I installed Docker using the tutorial from Docker Docs: https://docs.docker.com/desktop/windows/wsl/, and also followed the Docker tutorial available with CodeWithMosh (https://www.youtube.com/watch?v=pTFZFxd4hOI). 1) Download Docker Desktop for Windows and follow installation instructions. 2) Select the "Use WSL 2 based engine" option in Docker Desktop settings. 3) Create container with "docker run -d -p 80:80 docker/getting-started" (based on tutorial in-built into Docker Desktop Windows)

Below is a screenshot of my docker container terminal prompt. Terminal

Below is another screenshot of Python on my terminal. Image 2

Milestone 2 - Sentiment Analysis App with Streamlit on HuggingFace

Link to application: https://huggingface.co/spaces/v-nemala/sentiment-analysis

Milestone 3 - Finetuning Language Models

Links to code 1: https://github.com/vnemala/CS482-Project/blob/main/ProjectMilestone3.ipynb Link to code 2: https://github.com/vnemala/CS482-Project/blob/main/ProjectMilestone3_2.ipynb Link to application: https://huggingface.co/spaces/v-nemala/toxic-comment-classification?logs=build