Update app.py

app.py

@@ -110,8 +110,8 @@ def keyphrase_generator(article_link, model_1, model_2, max_num_keywords):
   return keywords
 
 igen=gr.Interface(keyphrase_generator, 
-                  inputs=[gr.inputs.Textbox(lines=1, placeholder="Provide an online health article web link here",default="", label="Article web link"),
-                      gr.inputs.Dropdown(choices=['sentence-transformers/all-mpnet-base-v2',
+                  inputs=[gr.components.Textbox(lines=1, placeholder="Provide an online health article web link here",default="", label="Article web link"),
+                      gr.components.Dropdown(choices=['sentence-transformers/all-mpnet-base-v2',
                                                  'sentence-transformers/all-mpnet-base-v1',                       
                                                  'sentence-transformers/all-distilroberta-v1',
                                                  'sentence-transformers/gtr-t5-large',
@@ -126,7 +126,7 @@ igen=gr.Interface(keyphrase_generator,
                                         type="value", 
                                         default='pritamdeka/S-Biomed-Roberta-snli-multinli-stsb', 
                                         label="Select any SBERT model for TextRank from the list below"),
-                     gr.inputs.Dropdown(choices=['sentence-transformers/paraphrase-mpnet-base-v2',
+                     gr.components.Dropdown(choices=['sentence-transformers/paraphrase-mpnet-base-v2',
                                                  'sentence-transformers/all-mpnet-base-v1',
                                                  'sentence-transformers/paraphrase-distilroberta-base-v1',
                                                  'sentence-transformers/paraphrase-xlm-r-multilingual-v1',
@@ -143,7 +143,7 @@ igen=gr.Interface(keyphrase_generator,
                                         type="value", 
                                         default='sentence-transformers/all-mpnet-base-v1', 
                                         label="Select any SBERT model for keyphrases from the list below"),                     
-                     gr.inputs.Slider(minimum=5, maximum=30, step=1, default=10, label="Max Keywords")],
+                     gr.components.Slider(minimum=5, maximum=30, step=1, default=10, label="Max Keywords")],
              outputs=gr.outputs.Textbox(type="text", label="Output"), theme="peach", 
              title="Health Article Keyphrase Generator", 
              description="Generates the keyphrases from an online health article which best describes the article. Examples are provided below for demo purposes. Choose any one example to see the results. ",