metadata

title: Sentiment Analysis App
emoji: 🤖
colorFrom: pink
colorTo: purple
sdk: streamlit
sdk_version: 1.17.0
app_file: app.py
pinned: false

Link to Google Site: https://sites.google.com/nyu.edu/finetunedpatentanalysis/app Link to huggingface model repo: https://huggingface.co/saccharinedreams/finetuned-distilbert-base-uncased-for-hupd Link to huggingface app: https://huggingface.co/spaces/saccharinedreams/sentiment-analysis-app

cs-gy-6613-project

Benjamin Liang's AI Project

Installation Steps

(Windows) Install Docker Desktop and WSL2 Check that the WSL 2 feature are enabled. If not, enable it. https://learn.microsoft.com/en-us/windows/wsl/install. See below image for the necessary features (red underline).

Turn on Docker Desktop and check that "Use WSL 2 based engine" is checked. It was greyed out and the default for me.

Select "Apply and Restart". Open a terminal with Admin privileges, and then type "wsl.exe -l -v" to check the version.

Install WSL extension for VS Code Install Dev Containers extension for VS Code Click on bottom left status showing VS Code context (local or remote) Select "Connect to WSL". The bottom left status now shows "WSL: Ubuntu"

Type "WSL" into the terminal Type "code .". This should open a new VS Code window.

Extra images

Using this tutorial: https://youtu.be/pTFZFxd4hOI