Update app.py

app.py

@@ -19,7 +19,7 @@ def readLMwords():
 
 
 def sentiment_analysis(sentence, model_name):
-    model_name = "HYCCC/"+model_name
+    model_name = "CCCCC5/"+model_name
     raw_sentences = sentence.strip().split('\n')
     template = '{"placeholder":"text_a"} Shares are {"mask"}.'
     classes = ['positive', 'neutral', 'negative']
@@ -30,10 +30,10 @@ def sentiment_analysis(sentence, model_name):
         "negative": negative,
     }
     type_dic = {
-        "HYCCC/RoBERTa_Chinese_AnnualReport_tuned":"roberta",
-        "HYCCC/RoBERTa_Chinese_FinancialNews_tuned":"roberta",
-        "HYCCC/RoBERTa_English_AnnualReport_tuned":"roberta",
-        "HYCCC/RoBERTa_English_FinancialNews_tuned":"roberta",
+        "CCCCC5/RoBERTa_Chinese_AnnualReport_tuned":"roberta",
+        "CCCCC5/RoBERTa_Chinese_FinancialNews_tuned":"roberta",
+        "CCCCC5/RoBERTa_English_AnnualReport_tuned":"roberta",
+        "CCCCC5/RoBERTa_English_FinancialNews_tuned":"roberta",
     }
 
     if 'Chinese' in model_name: