Update app.py

app.py

@@ -20,8 +20,8 @@ from app.questions import get_question
 
 # Load models
 whisper_model = whisper.load_model("small")
-confidence_model = BertForSequenceClassification.from_pretrained('RiteshAkhade/confidence_model1')
-confidence_tokenizer = BertTokenizer.from_pretrained('RiteshAkhade/confidence_tokenizer1')
+confidence_model = BertForSequenceClassification.from_pretrained('RiteshAkhade/final_confidence')
+confidence_tokenizer = BertTokenizer.from_pretrained('RiteshAkhade/final_confidence')
 context_model = BertForSequenceClassification.from_pretrained('RiteshAkhade/context_model')
 context_tokenizer = BertTokenizer.from_pretrained('RiteshAkhade/context_model')
 emotion_pipe = pipeline("text-classification", model="bhadresh-savani/distilbert-base-uncased-emotion", top_k=1)