Update app.py

app.py

@@ -98,14 +98,14 @@ classifier = pipeline("text-classification")
 def speech_to_text(speech):
     text = asr(speech)["text"]
     
-    rMem = AIMemory("STT", text) 
+    #rMem = AIMemory("STT", text) 
     
     return text
 
 def text_to_sentiment(text):
     sentiment = classifier(text)[0]["label"]
     
-    rMem = AIMemory(text, sentiment) 
+    #rMem = AIMemory(text, sentiment) 
 
     return sentiment 
 
@@ -116,7 +116,7 @@ def upsert(text):
     saved = select('TTS-STT', date_time)
     # check it here:  https://console.firebase.google.com/u/0/project/clinical-nlp-b9117/firestore/data/~2FStreamlitSpaces
     
-    rMem = AIMemory(text, saved) 
+    #rMem = AIMemory(text, saved) 
     
     return saved