updated

Makefile

@@ -0,0 +1,27 @@
+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 # test our jupyter notebook
+	python -m pytest -v tests/test_web.py # if you want to test test_web
+
+debug:
+	python -m pytest -vv --pdb #debuger is Invoked
+
+one_test:
+	python -m pytest -vv tests/test_greeting.py::test_my_name4
+
+debug_three:
+	#not working the way i expected
+	python -m pytest -vv --pdb --maxfail=4 #drop the pdb for first three failure
+
+format:
+	black *.py
+
+lint:
+	pylint --disable=R,C *.py
+all:
+	install lint test format

README.md

@@ -1,14 +1,16 @@
 ---
 title: hugging-face-demo
-emoji: 🚀
-colorFrom: blue
-colorTo: green
-sdk: gradio  # or streamlit, static, docker, etc.
+emoji: 🐱‍🏍
+colorFrom: purple
+colorTo: purple
+sdk: gradio
 sdk_version: "latest"
-app_file: app.py  # Ensure this matches your main app file
+app_file: app.py
 pinned: false
+licence: cc
 ---
 
+
 [![Deploy to Hugging Face Spaces](https://github.com/Muhammadyousafrana/hugging-face-demo/actions/workflows/main.yml/badge.svg)](https://github.com/Muhammadyousafrana/hugging-face-demo/actions/workflows/main.yml)
 
 # My Hugging Face Demo App

app.py

@@ -0,0 +1,26 @@
+from transformers import pipeline
+import gradio as gr
+
+# Load the summarization model
+model = pipeline("summarization")
+
+def predict(prompt):
+    summary = model(prompt)[0]["summary_text"]
+    return summary
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Text Summarization App")
+    gr.Markdown("Enter a block of text below and click Submit to generate a summary.")
+    
+    with gr.Row():
+        textbox = gr.Textbox(placeholder="Enter text to summarize", lines=6)
+    
+    submit_btn = gr.Button("Summarize")
+    
+    output = gr.Textbox(label="Summary", interactive=False)
+    
+    submit_btn.click(predict, inputs=textbox, outputs=output)
+
+# Launch the Gradio app
+demo.launch()

requirements.txt

@@ -0,0 +1,4 @@
+gradio
+transformers
+tensorflow
+tf-keras