Update app.py

app.py

@@ -35,7 +35,7 @@ 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','Text2SpeechSentimentSave')
+    saved = select('Text2SpeechSentimentSave', date_time)
     # check it here:  https://console.firebase.google.com/u/0/project/clinical-nlp-b9117/firestore/data/~2FStreamlitSpaces
     return saved
       
@@ -45,6 +45,15 @@ def select(collection, document):
     docid = ("The id is: ", doc.id)
     contents = ("The contents are: ", doc.to_dict())
     return contents
+          
+def selectall(collection):
+    docs = db.collection(collection).stream()
+    doclist=''
+    for doc in docs:
+        docid=doc.id
+        dict=doc.to_dict()
+        doclist+=doc.to_dict()
+    return doclist
     
 demo = gr.Blocks()
 
@@ -54,13 +63,16 @@ with demo:
     text = gr.Textbox()
     label = gr.Label()
     saved = gr.Textbox()
-
+    savedAll = gr.Textbox()
+    
     b1 = gr.Button("Recognize Speech")
     b2 = gr.Button("Classify Sentiment")
     b3 = gr.Button("Save Speech to Text")
+    b4 = gr.Button("Retrieve All")
 
     b1.click(speech_to_text, inputs=audio_file, outputs=text)
     b2.click(text_to_sentiment, inputs=text, outputs=label)
     b3.click(upsert, inputs=text, outputs=saved)
-
+    b4.click(selectall, inputs='Text2SpeechSentimentSave', outputs=savedAll)
+    
 demo.launch(share=True)