Create app.py

app.py

@@ -0,0 +1,33 @@
+import requests, json
+
+#Summarization endpoint
+def get_completion(inputs, parameters=None,ENDPOINT_URL='https://api-inference.huggingface.co/models/DunnBC22/flan-t5-base-text_summarization_data'): 
+    headers = {
+      "Authorization": f"Bearer {hf_api_key}",
+      "Content-Type": "application/json"
+    }
+    data = { "inputs": inputs }
+    if parameters is not None:
+        data.update({"parameters": parameters})
+    response = requests.request("POST",
+                                ENDPOINT_URL, headers=headers,
+                                data=json.dumps(data)
+                               )
+    return json.loads(response.content.decode("utf-8"))
+
+
+import gradio as gr
+
+def summarize(input):
+    output = get_completion(input)
+    return output[0]['summary_text']
+    
+gr.close_all()
+demo = gr.Interface(fn=summarize, 
+                    inputs=[gr.Textbox(label="Text to summarize", lines=6)],
+                    outputs=[gr.Textbox(label="Result", lines=3)],
+                    title="Text summarization with distilbart-cnn",
+                    description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!"
+                   )
+demo.launch(inline=False)
+