Update app.py

app.py

@@ -18,12 +18,10 @@ def make_spans(text,results):
     facts_spans = list(zip(split_in_sentences(text),results_list))
     return facts_spans
     
-##Fiscal Tone Analysis
 
-model = AutoModelForSequenceClassification.from_pretrained("FinanceInc/auditor_sentiment_finetuned")
-fin_model= pipeline("sentiment-analysis", model='FinanceInc/auditor_sentiment_finetuned', tokenizer='FinanceInc/auditor_sentiment_finetuned')
 
 ##Fiscal Sentiment by Sentence
+fin_model= pipeline("sentiment-analysis", model='FinanceInc/auditor_sentiment_finetuned', tokenizer='FinanceInc/auditor_sentiment_finetuned')
 def fin_ext(text):
     results = fin_model(split_in_sentences(text))
     return make_spans(text,results)