Update app.py

app.py

@@ -171,7 +171,7 @@ def predict_sdg_from_csv(file, progress=gr.Progress()):
     prediction_score = []
 
     # Preprocess text and make predictions
-    for text_input in progress.tqdm(text_list, desc="Analysing data":
+    for text_input in progress.tqdm(text_list, desc="Analysing data"):
         time.sleep(0.02)  # Sleep to avoid rate limiting
         cleaned_text = prep_text(text_input)
         tokenized_text = tokenizer(cleaned_text, return_tensors="pt", truncation=True, max_length=512, padding=True)