Update app.py

app.py

@@ -13,7 +13,13 @@ model = SentenceTransformer('all-MiniLM-L6-v2')
 def compute_pca(data):
     # data is expected to be a list of dictionaries with 'Identifier' and 'Text' keys
     df = pd.DataFrame(data)
-    valid_entries = df.dropna()
+
+    # Remove rows where 'Identifier' or 'Text' is empty or contains only whitespace
+    valid_entries = df[
+        (df['Identifier'].str.strip() != '') & 
+        (df['Text'].str.strip() != '')
+    ]
+    
     if valid_entries.empty:
         return gr.Plot.update(value=None, label="No data to process. Please fill in the boxes.")
     
@@ -25,6 +31,7 @@ def compute_pca(data):
     pca_result = pca.fit_transform(embeddings)
     
     # Add PCA results to the DataFrame
+    valid_entries = valid_entries.reset_index(drop=True)
     valid_entries['PC1'] = pca_result[:, 0]
     valid_entries['PC2'] = pca_result[:, 1]