Update app.py

app.py

@@ -48,20 +48,19 @@ description = '''Choose a sentence that describes audio the best if there's no s
 audio_dir = 'AUDIO'
 os.makedirs(audio_dir, exist_ok=True)
 
-def sample_df():
-
-    gc = gspread.service_account(filename='credentials.json')
-    sh = gc.open('Annotated CC Audio')
-    worksheet = sh.sheet1
-    df = pd.DataFrame(worksheet.get_all_records())
-    sample_df = df[df['caption']==''].sample(1)
-
-    url, audio_url, _, _, full_text, _, _ = sample_df.values[0]
-    audio_path = download_and_save_file(audio_url, audio_dir)
-    full_text = full_text.translate(str.maketrans('', '', string.punctuation))
-    sents = ['\n'.join(wrap(re.sub(r'###audio###\d###', '', s.text), width=70) )for s in nlp(full_text).sents]
-    sents.append('No audio description')
-    return audio_path, audio_url, sents
+
+
+gc = gspread.service_account(filename='credentials.json')
+sh = gc.open('Annotated CC Audio')
+worksheet = sh.sheet1
+df = pd.DataFrame(worksheet.get_all_records())
+sample_df = df[df['caption']==''].sample(1)
+
+url, audio_url, _, _, full_text, _, _ = sample_df.values[0]
+audio_path = download_and_save_file(audio_url, audio_dir)
+full_text = full_text.translate(str.maketrans('', '', string.punctuation))
+sents = ['\n'.join(wrap(re.sub(r'###audio###\d###', '', s.text), width=70) )for s in nlp(full_text).sents]
+sents.append('No audio description')
 
 def audio_demo(cap, audio, annotator, audio_url):
     annotator = annotator if annotator else str(uuid.uuid4())