Update app.py

app.py

@@ -1,19 +1,26 @@
-import gradio as gr  
-from transformers import pipeline 
-
+import gradio as gr
+from transformers import pipeline
 
+# Initialize the sentiment analysis pipeline
 sentiment = pipeline('sentiment-analysis')
 
-
-def get_sentiment(입력):
-    result = sentiment(입력)
+# Define the function to perform sentiment analysis
+def get_sentiment(input_text):
+    # Perform sentiment analysis on the input text
+    result = sentiment(input_text)
+    # Return only the label and score
     return f"Label: {result[0]['label']}, Score: {result[0]['score']}"
 
 # Create a Gradio interface
 interface = gr.Interface(
     fn=get_sentiment,  # Function to call
-    inputs="text",  # Input type (text)
-    outputs="text"  # Output type (text)
+    inputs=gr.Textbox(lines=3, label="입력"),  # Input text area with label in Korean
+    outputs=gr.Textbox(label="output"),  # Output text area with label in Korean
+    title="Sentiment Analysis",  # Title of the interface
+    buttons=[
+        {"text": "글리어", "click": lambda: None},  # Clear button
+        {"text": "체출하기", "click": get_sentiment}  # Submit button
+    ]
 )
 
 # Launch the Gradio interface