Update app.py

app.py

@@ -5,9 +5,9 @@ import whisper
 
 from transformers import pipeline
 
-import nltk
-nltk.download('punkt')
-from nltk.tokenize import sent_tokenize
+#import nltk
+#nltk.download('punkt')
+#from nltk.tokenize import sent_tokenize
 
 
 model = whisper.load_model('base')
@@ -23,7 +23,8 @@ def get_transcript_sentiment(url):
     result = model.transcribe('audio.mp3')
 
     # Split the transcript into sentences
-    transcript_sentences = sent_tokenize(result['text'])
+    #transcript_sentences = sent_tokenize(result['text'])
+    transcript_sentences = result['text'].split('.')
     
     # Run the Hugging Face sentiment analysis pipeline
     sentiment_pipeline = pipeline('sentiment-analysis')