Merge pull request #7 from SudhanshuBlaze/master

.github/workflows/check.yml

@@ -0,0 +1,16 @@
+name: Check file size
+on:               # or directly `on: [push]` to run the action on every push on any branch
+  pull_request:
+    branches: [main]
+
+  # to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+jobs:
+  sync-to-hub:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check large files
+        uses: ActionsDesk/[email protected]
+        with:
+          filesizelimit: 10485760 # this is 10MB so we can sync to HF Spaces

.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://devanshsrivastav:[email protected]/spaces/devanshsrivastav/GoEmotions main

README.md

@@ -1,3 +1,10 @@
+---
+license: apache-2.0
+title: GoEmotions Dashboard
+sdk: streamlit
+sdk_version: "1.22.0"
+app_file: app.py
+---
 # GoEmotions Dashboard - Analyzing Emotions in Text
 
 This is a Python script that uses Streamlit, Plotly, and the Hugging Face API to create a web-based dashboard for analyzing emotions in text.

EDxHuggingface.py → app.py

@@ -62,7 +62,7 @@ color_map = {
 
 
 # Labels for Hate Speech Classification
-label_hs = {"LABEL_0": "Acceptable", "LABEL_1": "inappropriate", "LABEL_2": "Offensive", "LABEL_3": "Violent"}
+label_hs = {"LABEL_0": "Acceptable", "LABEL_1": "Inappropriate", "LABEL_2": "Offensive", "LABEL_3": "Violent"}
 
 # Define default options