Update app.py

app.py

@@ -1,7 +1,4 @@
 import streamlit as st
-import firebase_admin
-from firebase_admin import credentials
-from firebase_admin import firestore
 import datetime
 from transformers import pipeline
 import gradio as gr
@@ -54,14 +51,6 @@ repo = Repository(
     local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
 )
 
-@st.experimental_singleton
-def get_db_firestore():
-    cred = credentials.Certificate('test.json')
-    firebase_admin.initialize_app(cred, {'projectId': u'clinical-nlp-b9117',})
-    db = firestore.client()
-    return db
-
-db = get_db_firestore()
 asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
 
 MODEL_NAMES = [
@@ -114,9 +103,7 @@ def upsert(text):
     doc_ref = db.collection('Text2SpeechSentimentSave').document(date_time)
     doc_ref.set({u'firefield': 'Recognize Speech', u'first': 'https://huggingface.co/spaces/awacke1/TTS-STT-Blocks/', u'last': text, u'born': date_time,})
     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) 
+ 
     
     return saved