update app.py

app.py

@@ -48,5 +48,9 @@ t5_exp = T5Generator(model_checkpoint)
 
 iface = gr.Interface(fn=lambda x: model_predict(preprocess_input(x)),
                      inputs=[gr.Textbox(label="Input review text here")],
-                     outputs=gr.Textbox(label="Extracted aspects & sentiment"))
+                     outputs=gr.Textbox(label="Extracted aspects & sentiment"),
+                     title="Aspect-Based Sentiment Analysis (ABSA)",
+                     description="This app will take a sample review segment as input and return the extracted aspects and the corresponding sentiments.",
+                     article="This model is a fine-tuned version of the original SOTA model found here: https://huggingface.co/kevinscaria/joint_tk-instruct-base-def-pos-neg-neut-combined",
+                     )
 iface.launch()