Update functions.py

functions.py

@@ -76,29 +76,12 @@ def inference(link, upload, _asr_model):
       results = _asr_model.trasncribe(upload)
       
       return results['text'], "Transcribed Earnings Audio"
-
-@st.experimental_memo(suppress_st_warning=True)       
-def chunk_long_text(text,threshold):
-    '''Chunk long text'''
-    sentences = sent_tokenize(text)
-    out = []
-
-    for chunk in sentences:
-        if len(chunk.split()) < threshold:
-            out.append(chunk)
-        else:
-            words = chunk.split()
-            num = int(len(words)/threshold)
-            for i in range(0,num*threshold+1,threshold):
-                out.append(' '.join(words[i:threshold+i]))
-
-    return out
       
 @st.experimental_memo(suppress_st_warning=True)
 def sentiment_pipe(earnings_text):
     '''Determine the sentiment of the text'''
     
-    earnings_sentences = chunk_long_text(earnings_text,400)
+    earnings_sentences = chunk_long_text(earnings_text,200,1)
     earnings_sentiment = sent_pipe(earnings_sentences)
     
     return earnings_sentiment, earnings_sentences