Update app.py

app.py

@@ -1,3 +1,13 @@
 import gradio as gr
+# Use a pipeline as a high-level helper
+from transformers import pipeline
 
-gr.load("models/philipp-zettl/t5-small-long-qa").launch()
+pipe = pipeline("text2text-generation", model="philipp-zettl/t5-small-long-qa")
+
+
+def generate(context, question):
+    prompt = f"question: {question} context: {context}"
+    return pipe(prompt)
+
+demo = gr.Interface(fn=greet, inputs=[gr.Text('context'),gr.Text('question')], outputs="text")
+demo.launch()