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README.md

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-# huggingfacedemo2
+# Hugging Face MLOps App
+
+A simple Hugging Face inference application built with Python.
+
+## 📦 Project Structure
+

app.py

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+from transformers import pipeline 
+import tensorflow as tf 
+import gradio as gr
+
+
+model = pipeline("summarization")
+
+def predict(prompt):
+    summary = model(prompt)[0]["summary_text"]
+    return summary 
+
+
+with gr.Blocks() as demo:
+    textbox = gr.Textbox(placeholder = "Enter text block to summarize", lines=4)
+    gr.Interface(fn=predict, inputs=textbox, outputs="text")
+
+demo.launch()

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 
+
+#debug: 
+#	python -m pytest --v --pdb 
+
+#one-test:
+#	spython -m pytest -vv tests/test_greeting.py::test_my_name4 
+
+  

requirements.txt

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+transformers
+gradio
+tensorflow 
+torch
+tf-keras