final updates

app.py

@@ -4,8 +4,9 @@ def data_summarizer(input_eng):
         from bs4 import  BeautifulSoup
         from googletrans import Translator
         import warnings
+        warnings.filterwarnings("ignore")
         from transformers import pipeline
-        # sentiment = pipeline("sentiment-analysis")
+        sentiment = pipeline("sentiment-analysis")
         from transformers import PegasusForConditionalGeneration, AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained("google/pegasus-xsum")
         warnings.filterwarnings("ignore")
@@ -47,11 +48,14 @@ def data_summarizer(input_eng):
         # return {"Output_summary :":out.text,"Keywords":keys.text.replace("\n",","),"Sentiment":f"{'Positive' if analysis.polarity > 0 else 'Negative' if analysis.polarity < 0 else 'Neutral' }"}
         # print(translation.text)
         # print(translation.extra_data)
-        return f"{'Positive' if analysis.polarity > 0 else 'Negative' if analysis.polarity < 0 else 'Neutral' }", keys.text.replace("\n",","), out.text.strip() 
+        return sentiment(out.text.strip())[0]['label'], keys.text.replace("\n",","), out.text.strip() 
 
     except Exception as e:
       raise e 
 
+
+
+
 # input_eng = input()
 # data_summarizer(input_eng)
 import gradio as gr