bug fix translation

app.py

@@ -27,20 +27,20 @@ model = SentenceTransformer('paraphrase-multilingual-MiniLM-L12-v2')
 # Modify the Gradio interface to accept a list of identifiers and texts
 def compute_pca(data):
     # data is expected to be a list of dictionaries with 'Identifier' and 'Text' keys
-    df = pd.DataFrame(data, columns=["Identifier", "Text"])
+    df = pd.DataFrame(data, columns=["Identifiant", "Texte"])
 
 
     # Remove rows where 'Identifier' or 'Text' is empty or contains only whitespace
     valid_entries = df[
-        (df['Identifier'].str.strip() != '') & 
-        (df['Text'].str.strip() != '')
+        (df['Identifiant'].str.strip() != '') & 
+        (df['Texte'].str.strip() != '')
     ]
     
     if valid_entries.empty:
         return gr.Plot.update(value=None, label="Rien à analyser. Donnez moi du texte svp!")
     
     # Generate embeddings
-    embeddings = model.encode(valid_entries['Text'].tolist())
+    embeddings = model.encode(valid_entries['Texte'].tolist())
     
     # Perform PCA to reduce to 2 dimensions
     pca = PCA(n_components=2)
@@ -97,4 +97,4 @@ def text_editor_app():
 
 
 # Launch the app
-text_editor_app().launch()
+text_editor_app().launch()