Update app.py

app.py

@@ -6,25 +6,28 @@ classifier = pipeline("text-classification", model="lqqqqqqqqq/FinetunedModelGr9
 
 # Streamlit application title
 st.title("Text Classification")
-st.write("Classification for 3 labels: negative, neutual, positive")
+st.write("Classification for 3 labels: negative, neutral, positive")
 
 # Text input for user to enter the text to classify
 text = st.text_area("Enter the text to classify", "")
 
 # Perform text classification when the user clicks the "Classify" button
 if st.button("Classify"):
-    # Perform text classification on the input text
-    results = classifier(text)[0]
-    
-    # Display the classification result
-    max_score = float('-inf')
-    max_label = ''
-    
-    for result in results:
-        if result['score'] > max_score:
-            max_score = result['score']
-            max_label = result['label']
-            
-    st.write("Text:", text)
-    st.write("Label:", max_label)
-    st.write("Score:", max_score)
+    if text.strip():  # Check if text is not empty
+        # Perform text classification on the input text
+        results = classifier(text)[0]
+
+        # Display the classification result
+        max_score = float('-inf')
+        max_label = ''
+
+        for result in results:
+            if result['score'] > max_score:
+                max_score = result['score']
+                max_label = result['label']
+
+        st.write("Text:", text)
+        st.write("Label:", max_label)
+        st.write("Score:", max_score)
+    else:
+        st.write("Please enter some text to classify.")