Updated models

app.py

@@ -37,7 +37,9 @@ def summarize_text(text):
     return stext
 
 ##Fiscal Tone Analysis
-fin_model= pipeline("sentiment-analysis", model='yiyanghkust/finbert-tone', tokenizer='yiyanghkust/finbert-tone')
+
+model = AutoModelForSequenceClassification.from_pretrained("FinanceInc/auditor_sentiment_finetuned")
+fin_model= pipeline("sentiment-analysis", model='FinanceInc/auditor_sentiment_finetuned', tokenizer='FinanceInc/auditor_sentiment_finetuned')
 def text_to_sentiment(text):
     sentiment = fin_model(text)[0]["label"]
     return sentiment 
@@ -55,7 +57,7 @@ def fin_ext(text):
     
 ##Forward Looking Statement
 def fls(text):
-    fls_model = pipeline("text-classification", model="yiyanghkust/finbert-fls", tokenizer="yiyanghkust/finbert-fls")
+    fls_model = pipeline("text-classification", model="FinanceInc/finbert_fls", tokenizer="FinanceInc/finbert_fls")
     results = fls_model(split_in_sentences(text))
     return make_spans(text,results)