Create: main.yml

update: README for streamlit
add: gitignore logs

.github/workflows/main.yml

@@ -0,0 +1,24 @@
+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: Add remote 
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git remote add space https://kailashsp:[email protected]/spaces/kailashsp/SELF-DISCOVER
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git push --force https://kailashsp:[email protected]/spaces/kailashsp/SELF-DISCOVER main

.gitignore

@@ -1,4 +1,5 @@
 venv/
 .env
 __pycache__
-prompt_log.txt
+prompt_log.txt
+prompts_1.py

README.md

@@ -10,6 +10,8 @@ license: apache-2.0
 
 ## SELF-DISCOVER FRAMEWORK
 
+[Try Hugging Face Demo from Here](https://huggingface.co/spaces/kailashsp/SELF-DISCOVER)
+
 ## Paper Overview [link](https://arxiv.org/pdf/2402.03620.pdf)
 This project implements the paper titled "Self-Discover: Large Language Models Self-Compose Reasoning Structures," submitted on February 6, 2024, by Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, and Huaixiu Steven Zheng. The paper introduces SELF-DISCOVER, a framework designed to enhance the performance of Large Language Models (LLMs) on complex reasoning tasks by enabling them to self-discover task-intrinsic reasoning structures.
 

app.py

@@ -4,12 +4,12 @@ from self_discover import SelfDiscover
 
 
 st.set_page_config(
-    page_title="Reasoning Structure Generator",
+    page_title="SELF-DISCOVER",
     page_icon="🔍",
     layout="wide",
     initial_sidebar_state="expanded"
 )
-st.title("Reasoning Structure Generator")
+st.title("SELF-DISCOVER")
 
 
 api_key = st.text_input("Enter OpenAI api key ")