Update app.py

app.py

@@ -3,23 +3,6 @@ from transformers import pipeline
 
 # Load your model
 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")
-outputs = gr.Textbox(label="Answer")
-
-# Define examples that users can select from
-examples = [
-    ["What is the capital of France?", ""],
-    ["Who wrote the Harry Potter series?", ""],
-    ["What is the largest planet in our solar system?", ""]
-]
-
 # Launch the Gradio interface with examples
-gr.Interface(fn=predict, inputs=inputs, outputs=outputs, examples=examples).launch()
+# gr.Interface(fn=predict, inputs=inputs, outputs=outputs, examples=examples).launch()
+gr.launch()