Spaces:
Build error
Build error
File size: 4,144 Bytes
a625e7e ef8059b a625e7e ef8059b 9089911 ef8059b 9089911 ef8059b 9089911 ef8059b 9089911 8d1be1f a625e7e 8d1be1f ef8059b b1d0b0e ef8059b b1a1fd2 b1d0b0e ef8059b 8d1be1f a625e7e 8d1be1f a625e7e 8d1be1f db1c826 b1d0b0e d0fed0f b1d0b0e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
import streamlit as st
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from datetime import datetime
now = datetime.now() # current date and time
year = now.strftime("%Y")
st.write("year:", year)
month = now.strftime("%m")
st.write("month:", month)
day = now.strftime("%d")
st.write("day:", day)
time = now.strftime("%H:%M:%S")
st.write("time:", time)
date_time = now.strftime("%m/%d/%Y, %H:%M:%S")
st.write("date and time:",date_time)
@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
#add data to the beastie with a generic reusable upsert function
def upsert(collection, document, firefield, first, last, born):
doc_ref = db.collection(collection).document(document)
doc_ref.set({u'firefield': firefield, u'first': first, u'last': last, u'born': born
})
#read data back in firecollection
def selectCollection(collection):
users_ref = db.collection(collection)
docs = users_ref.stream()
for doc in docs:
st.write(f'{doc.id} => {doc.to_dict()}')
def selectCollectionDocument(collection, document):
doc_ref = db.collection(collection).document(document)
doc = doc_ref.get()
st.write("The id is: ", doc.id)
st.write("The contents are: ", doc.to_dict())
#add data to the beastie with a generic reusable upsert function
def upsertoftheminute(collection, document, firefield, first, last, born):
date_time = now.strftime("%m/%d/%Y, %H:%M")
doc_ref = db.collection(collection).document(document)
doc_ref.set({u'firefield': firefield, u'first': first, u'last': last, u'born': date_time,})
st.write("singleton stateful connection to cloud firestore")
st.write(u"spin up some awesome 🤯 - episodic and semantic memory 🧠 for AI - here we come")
db = get_db_firestore()
# perceptual system processing agent that can store model
upsert(u'firecollection', u'firedocument', u'users1', u'Ada', u'Lovelace', 1815)
upsert(u'firecollection', u'firedocument', u'users2', u'Aaron', u'Wacker', 1971)
upsert(u'firecollection1', u'firedocument3', u'users1', u'2022 - AI, Cognitive and Neuroscience to Assist and Augment Behavioral and Medical Health', u'https://www.youtube.com/watch?v=lvh3g7eszVQ&list=PLHgX2IExbFouJoqEr8JMF5MbZSbyC91-L', 2022)
upsert(u'firecollection2', u'firedocument2', u'users2', u'2022 - AI art sci-fi movies and stories 🎭🎞️🍿 by Aaron Wacker 🎬 🧠 🎨', u'https://www.youtube.com/playlist?list=PLHgX2IExbFotUCOCZgpj-5HZBzXOpFMYc', 2022)
upsert(u'firecollection3', u'firedocument3', u'users3', u'😶🌫️ 🤯Engineering Consciousness🧠 😶🌫️', u'https://youtu.be/rIpUf-Vy2JA?list=PLHgX2IExbFouJoqEr8JMF5MbZSbyC91-L&t=3622', 2022)
upsert(u'firecollection4', u'firedocument4', u'users4', u'🧠🌳Yggdrasil🌳🧠', u'https://github.com/AaronCWacker/Yggdrasil', 2022)
# its all stored here: https://console.firebase.google.com/u/0/project/clinical-nlp-b9117/firestore/data/~2FStreamlitSpaces
selectCollection(u'firecollection')
selectCollection(u'firecollection1')
selectCollection(u'firecollection2')
selectCollection(u'firecollection3')
selectCollection(u'firecollection4')
selectCollectionDocument(u"firecollection", u"firedocument")
selectCollectionDocument(u"firecollection1", u"firedocument3")
selectCollectionDocument(u"firecollection3", u"firedocument3")
# from https://huggingface.co/spaces/awacke1/RealTimeVoiceASR
selectCollectionDocument(u"ASRCollection", u"ASRDocument")
upsert(u'firecollection4', u'firedocument4', u'users4', u'🧠🌳Yggdrasil🌳🧠', u'https://github.com/AaronCWacker/Yggdrasil', 2022)
# intent - upsert at granularity of minute an aggregate document representing fields used in recent activity to replay shared state memory events
upsertoftheminute(u'TimeSeries', u'DocumentofMinute', u'TestUser1', u'🧠🌳Yggdrasil🌳🧠', u'https://huggingface.co/spaces/awacke1/FirestorePersistence', 2022)
selectCollectionDocument(u"TimeSeries", u"DocumentofMinute") |