arunreddy

# create the client.
client = spb.sdk.Client(project_name='fitness_dataset')

DATASET = 'fitness_dataset_20210105'
img = 'img_002_f3a31eba219e2865.jpg'

try:
    data_handler = next(client.get_data_page(page_idx=0, page_size=1, dataset=DATASET, data_key=img))
except StopIteration:
    print('Data with this key does not exist')

arunreddy

,name
0,Anil
1,Rajeev Pandey
2,P. Patnaik
3,Punambhai P. Barot
4,Kiara Tehsil
5,Krishnam Raju
6,Dave
7,Sanyam Lodha
8,N.K. Kalita

arunreddy

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

arunreddy

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: cloud-controller-manager
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:

arunreddy

apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
  # Name of of this InfisicalSecret resource
  name: dolphin-infisicalsecret
spec:
  # The host that should be used to pull secrets from. If left empty, the value specified in Global configuration will be used
  hostAPI: https://app.infisical.com/api
  resyncInterval: 60
  authentication:

arunreddy

from prefect.filesystems import S3
s3_block = S3.load('chatbot20231012')
from prefect.blocks.system import Secret
from sellpath_test import ClientMgr
client = ClientMgr('5d143acf-2812-4fed-b4d4-6b48bd8eca4b')

from prefect import task, flow
from sellpath_test import ClientMgr
from sellpath_test.http_client import SellPathHttpClient