Update app.py

app.py

@@ -1,3 +1,29 @@
+# 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
 
-gr.Interface.load("models/sileod/deberta-v3-base-tasksource-nli").launch()
+def classify_text(text1, text2):
+    # Load pre-trained model
+    model = gr.load_model("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()