Update app.py

app.py

@@ -177,16 +177,17 @@ def clean_and_preprocess(text):
 
 st.title("Transcript Analysis")
 transcript = st.text_area("Enter the transcript:", height=200)
-transcript=replace_abbreviations(transcript)
-transcript=replace_abbreviations(transcript)
-transcript=removeSpeakers(transcript)
-transcript=removeQA(transcript)
-transcript=clean_and_preprocess(transcript)
-tokens=transcript.split()
-splitSize=256
-chunks=[tokens[r*splitSize:(r+1)*splitSize] for r in range(math.ceil(len(tokens)/splitSize))]
+
 
 if st.button("Analyze"):
+    transcript=replace_abbreviations(transcript)
+    transcript=replace_abbreviations(transcript)
+    transcript=removeSpeakers(transcript)
+    transcript=removeQA(transcript)
+    transcript=clean_and_preprocess(transcript)
+    tokens=transcript.split()
+    splitSize=256
+    chunks=[tokens[r*splitSize:(r+1)*splitSize] for r in range(math.ceil(len(tokens)/splitSize))]
     st.subheader("Sentiment Analysis")
     sentiment = [sentiment_model(x)[0]['label'] for x in chunks]
     sentiment=max(sentiment,key=sentiment.count)