Synced repo using 'sync_with_huggingface' Github Action

Makefile

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+install:
+	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 # test out jupyter notebook
+	# python -m pytest -v tests/tests_web.py
+
+debug:
+	python -m pytest -vv --pdb # debugger is invoked
+
+one-test:
+	python -m pytest -vv test/test_greeting.py::test_my_name4
+
+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
+
+# Initialize the summarization model using a PyTorch-based model
+model = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+
+def predict(prompt):
+    summary = model(prompt)[0]['summary_text']
+    return summary
+
+# Build the Gradio interface
+with gr.Blocks() as demo:
+    textbox = gr.Textbox(placeholder="Enter text block to summarize", lines=4)
+    gr.Interface(fn=predict, inputs=textbox, outputs="text")
+
+# Launch the demo
+demo.launch()
+

requirements.txt

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+gradio
+transformers
+tensorflow
+tf-kerasgit