Merge pull request #6 from panotedi/milestone-2

.github/workflows/main.yml

@@ -0,0 +1,20 @@
+name: Sync to Hugging Face hub
+on:
+  push:
+    branches: [main]
+
+  # to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+jobs:
+  sync-to-hub:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          lfs: true
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git push https://panotedi:[email protected]/spaces/panotedi/milestone2 main

README.md

@@ -1,7 +1,8 @@
-# 634-project
-
-First, I installed Docker for Windows as well as the WSL2 to support it. Using the two links that the professor had providd for us 
-
-Then I downloaded vscode and created a Dockerfile by following the steps in the video and was able to deploy that to the docker terminal.
-
-![image](https://user-images.githubusercontent.com/125224688/227837771-45d330d4-4ad5-4403-b46c-0e506c09e246.png)
+title: Milestone2
+emoji: 🐢
+colorFrom: blue
+colorTo: red
+sdk: streamlit
+sdk_version: 1.17.0
+app_file: app.py
+pinned: false

app.py

@@ -0,0 +1,13 @@
+import streamlit as st
+st.title("CS634 - milestone2 - Tedi Pano")
+
+text_input = st.text_input("Enter in a sentence for sentiment analysis" , "")
+
+from transformers import pipeline
+
+sentiment_model = pipeline("sentiment-analysis")
+
+output = sentiment_model(text_input)
+
+if text_input != "":
+    st.write("The sentiment analysis for '" + text_input+ "' is " + output[0]['label'] + " with a certainty score of " + str(output[0]['score']))