Update app.py

app.py

@@ -2,8 +2,8 @@
 from transformers import BertTokenizer, BertForSequenceClassification
 from transformers import pipeline
 import gradio as gr
+from collections import Counter
 import re
-from gradio.mix import Parallel
 import spacy
 import pandas as pd
 
@@ -47,30 +47,20 @@ def show_org(text):
         org.append(ent.text)
   None
   
-  df = pd.DataFrame()
-  org = org
-  df['Organization'] = org
-  return df
+  final = (Counter(org).most_common(1)[0][0])
   
+  return (f'Organization: {final}')
+  
+def final_output(text):
+  return return_sentiment(text), show_org(text)
   
 sentiment_analysis = gr.Interface(
-    fn=return_sentiment,
+    final_output,
     inputs = gr.inputs.Textbox(label="Input your news article here", optional=False),
-    outputs=gr.outputs.Textbox(label="Sentiment Analysis"),
+    outputs=[gr.outputs.Textbox(label="Sentiment Analysis"),
+    gr.outputs.Textbox(label="Named Organization")]
 )
 
-named_organization = gr.Interface(
-    fn=show_org,
-    inputs = gr.inputs.Textbox(label="Input your news article here", optional=False),
-    outputs=gr.outputs.Dataframe(label="Named organizations"),
-)
 
-Parallel(
-    sentiment_analysis,
-    named_organization,
-    title="Sentiment Analysis of stock news",
-    inputs=gr.inputs.Textbox(
-        label="Input your article here",
-    ),
-    theme="darkhuggingface",
-).launch(enable_queue=True, debug=True)
+if __name__ == "__main__":
+    sentiment_analysis.launch(debug=True)