Update app.py

app.py

@@ -1,11 +1,9 @@
-# import sklearn
+
 from os import O_ACCMODE
 import gradio as gr
-import joblib
 from transformers import pipeline
-import requests.exceptions
-from huggingface_hub import HfApi, hf_hub_download
-from huggingface_hub.repocard import metadata_load
+# from huggingface_hub import HfApi, hf_hub_download
+# from huggingface_hub.repocard import metadata_load
 
 app = gr.Blocks()
 
@@ -77,11 +75,11 @@ with app:
             btn5 = gr.Button("Predict - Model 5")
 
         with gr.Column():
-            out_1 = gr.Textbox(label="Predictions for Model 1")
-            out_2 = gr.Textbox(label="Predictions for Model 2")  
-            out_3 = gr.Textbox(label="Predictions for Model 3")        
-            out_4 = gr.Textbox(label="Predictions for Model 4")     
-            out_5 = gr.Textbox(label="Predictions for Model 5")     
+            out_1 = gr.Textbox(label="Predictions for Model 1", lines=5)
+            out_2 = gr.Textbox(label="Predictions for Model 2", lines=5)  
+            out_3 = gr.Textbox(label="Predictions for Model 3", lines=5)        
+            out_4 = gr.Textbox(label="Predictions for Model 4", lines=5)     
+            out_5 = gr.Textbox(label="Predictions for Model 5", lines=5)     
 
         btn1.click(fn=get_prediction(model_id_1), inputs=inp_1, outputs=out_1)
         btn2.click(fn=get_prediction(model_id_2), inputs=inp_1, outputs=out_2)