add aapp

app.py

@@ -0,0 +1,12 @@
+import gradio as gr
+from transformers import pipeline
+
+model= pipeline("summarization")
+
+def predict(promt):
+    summary=model(prompt)[0]["summary_text"]
+    return summary
+with gr.Blocks() as demo:
+    textbox=gr.TextBox(placeholder="enter text 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 -vv test_app.py
+
+format:
+	black *.py
+
+run:
+	python app.py
+
+run-uvicorn:
+	uvicorn app:app --reload
+
+killweb:
+	sudo killall uvicorn
+
+lint:
+	pylint --disable=R,C app.py
+
+all: install lint test

requirements.txt

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+gradio
+transformers
+tensorflow