added python code

app.py

@@ -0,0 +1,16 @@
+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.Interface(predict, "textbox", "text") as interface:
+    interface.launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+transformers
+tensorflow