Update app.py

app.py

@@ -8,7 +8,7 @@ tokenizer = BertTokenizer.from_pretrained('ProsusAI/finbert')
 # Load pre-trained model
 model = BertForSequenceClassification.from_pretrained('ProsusAI/finbert')
 
-def analyze_sentiment(sec_text):
+def get_sentiment(입력):
     # Encode the text
     tokens = tokenizer.encode_plus(sec_text, add_special_tokens=True, return_tensors="pt")
     
@@ -26,7 +26,7 @@ def analyze_sentiment(sec_text):
 
 # Define the Gradio interface
 gr_interface = gr.Interface(
-    fn=analyze_sentiment,
+    fn=get_sentiment,
     inputs=gr.Textbox(lines=1, placeholder="..."),
     outputs="text",
     title="Sentiment Analysis"