Update app.py

app.py

@@ -19,11 +19,9 @@ def get_db_firestore():
     db = firestore.client()
     return db
 
-
 db = get_db_firestore()
 asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
 
-
 MODEL_NAMES = [
     # "en/ek1/tacotron2",
     "en/ljspeech/tacotron2-DDC",
@@ -58,8 +56,6 @@ for MODEL_NAME in MODEL_NAMES:
     )
     MODELS[MODEL_NAME] = synthesizer
 
-
-
 def transcribe(audio):
     text = asr(audio)["text"]
     return text
@@ -77,8 +73,8 @@ def text_to_sentiment(text):
 def upsert(text):
     date_time =str(datetime.datetime.today())
     doc_ref = db.collection('Text2SpeechSentimentSave').document(date_time)
-    doc_ref.set({u'firefield': 'Recognize Speech', u'first': 'https://huggingface.co/spaces/awacke1/Text2SpeechSentimentSave', u'last': text, u'born': date_time,})
-    saved = select('Text2SpeechSentimentSave', 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
     return saved
       
@@ -135,21 +131,4 @@ with demo:
     b4.click(selectall, inputs=text, outputs=savedAll)
     b5.click(tts,  inputs=[text,TTSchoice], outputs=audio)
     
-demo.launch(share=True)
-
-
-
-
-#iface = gr.Interface(
-#    fn=tts,
-#    inputs=[
-#        gr.inputs.Textbox( label="Input", default="Hello, how are you?",  ),
-#        gr.inputs.Radio( label="Pick a TTS Model", choices=MODEL_NAMES,   ),
-#    ],
-#    outputs=gr.outputs.Audio(label="Output"),
-#    title="🐸💬 - Coqui TTS",
-#    theme="huggingface",
-#    description="🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production",
-#    article="more info at https://github.com/coqui-ai/TTS",
-#)
-#iface.launch()
+demo.launch(share=True)