initial commit

.github/workflows/main.yml

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+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@v2
+        with:
+          fetch-depth: 0
+      - name: Add remote 
+        env:
+          HF: ${{ secrets.HG }}
+        run: git remote add space https://noahgift:[email protected]/spaces/noahgift/demo
+      - name: Push to hub
+        env:
+          HF: ${{ secrets.HG }}
+        run: git push --force https://huggingface.co/spaces/Abdulrhman37/mlops_text_summarizer main

main.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the summarization pipeline
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Define the summarization function
+def summarize_text(article):
+    summary = summarizer(article, max_length=130, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=summarize_text,
+    inputs="textbox",  # User inputs a large article
+    outputs="text",    # Output is the summary of the article
+    title="Text Summarizer",
+    description="Enter an article to get a summarized version."
+)
+
+# Launch the Gradio app
+interface.launch()