Update app.py

app.py

@@ -1,29 +1,3 @@
 # original:
-#import gradio as gr
-#gr.Interface.load("models/sileod/deberta-v3-base-tasksource-nli").launch()
-
-# chatGPT prompt1: Rewrite this program in python and gradio to load an example file with two input text fields and output of the classification field.
-
 import gradio as gr
-
-def classify_text(text1, text2):
-    # Load pre-trained model
-    model = gr.Interface.load("models/sileod/deberta-v3-base-tasksource-nli")
-    
-    # Perform classification on input text
-    output = model.predict([text1, text2])[0]
-    
-    return output
-
-# Create input fields
-input_text1 = gr.Textbox(label="Input Text 1")
-input_text2 = gr.Textbox(label="Input Text 2")
-
-# Create output field
-output_text = gr.Textbox(label="Classification Output")
-
-# Create Gradio interface
-gr.Interface(classify_text, 
-             inputs=[input_text1, input_text2], 
-             outputs=output_text, 
-             examples=[["Example Text 1", "Example Text 2"]]).launch()
+gr.Interface.load("models/sileod/deberta-v3-base-tasksource-nli").launch()