first one

.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: ${{ secrets.HF }}
+        run: git remote add space https://MuhammadFaisalHayat:$HF@huggingface.co/spaces/MuhammadFaisalHayat/MLops
+      - name: Push to hub
+        env:        
+          HF: ${{ secrets.HF }}
+        run: git push --force https://MuhammadFaisalHayat:$HF@huggingface.co/spaces/MuhammadFaisalHayat/MLops main

Makefile

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+install:
+	pip install --upgrade pip &&\
+		pip install -r requirements.txt
+
+test:
+	python -m pytest -vvv --cov=hello --cov=greeting \
+		--cov=smath --cov=web tests
+	python -m pytest --nbval notebook.ipynb	#tests our jupyter notebook
+	#python -m pytest -v tests/test_web.py #if you just want to test web
+
+debug:
+	python -m pytest -vv --pdb	#Debugger is invoked
+
+one-test:
+	python -m pytest -vv tests/test_greeting.py::test_my_name4
+
+debugthree:
+	#not working the way I expect
+	python -m pytest -vv --pdb --maxfail=4  # drop to PDB for first three failures
+
+format:
+	black *.py
+
+lint:
+	pylint --disable=R,C *.py
+
+all: install lint test format

app.py

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+from transformers import pipeline
+import gradio as gr
+
+
+model = pipeline(
+    "summarization",
+)
+
+def predict(prompt):
+    summary = model(prompt)[0]["summary_text"]
+    return summary
+
+
+# create an interface for the model
+with gr.Blocks() as demo:
+    textbox = gr.Textbox(placeholder="Enter the text to summurize ",lines=4)
+    gr.Interface(fn=predict, inputs="textbox", outputs="text")
+demo.launch()

requirements.txt

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+gradio
+transformers
+tensorflow