Update app.py

app.py

@@ -1,7 +1,14 @@
 import gradio as gr
+from transformers import pipeline
 
 # Load your model
-model = gr.Interface.load("models/DevBM/t5-large-squad")
+model = pipeline("question-answering", model="DevBM/t5-large-squad")
+
+# Define the prediction function
+def predict(question):
+    context = "Your context here"  # You need to provide the context for the question
+    result = model(question=question, context=context)
+    return result['answer']
 
 # Define the input and output interfaces
 inputs = gr.Textbox(label="Question")
@@ -15,4 +22,4 @@ examples = [
 ]
 
 # Launch the Gradio interface with examples
-model.launch(inputs=inputs, outputs=outputs, examples=examples)
+gr.Interface(fn=predict, inputs=inputs, outputs=outputs, examples=examples).launch()