Update app.py

app.py

@@ -44,10 +44,11 @@ def translator_text(text, src_lang):
   return translation[0]['translation_text']
 
 
-# Take the text and its source language, translate it to English, so that the classifier can perform the task.
-def translator_text(text, src_lang):
-  translation = translator(text, src_lang=src_lang, tgt_lang="eng_Latn")
-  return translation[0]['translation_text']
+# Take all the inputs from the user, including the mood (result from the classifier), and append them to the DataFrame.
+def appender(date, text, mood):
+  global df
+  new_row = pd.DataFrame({'Date': [date], 'Text': [text], 'Mood': [mood]})
+  df = pd.concat([df, new_row], ignore_index=True)
 
 
 def main(date, src_lang, text):