arunreddy

from agentifyme import get_logger, workflow
from pydantic import BaseModel


class SimpleResponse(BaseModel):
    output: str


logger = get_logger()

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

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

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

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

,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

# 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

# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples

# If not running interactively, don't do anything
case $- in
    *i*) ;;
      *) return;;
esac

arunreddy

import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.Qt import Qt
from PyQt5.QtWidgets import *


class VKQLineEdit(QLineEdit):
    def __init__(self, parent=None, name=None, mainWindowObj=None):
        super(VKQLineEdit, self).__init__(parent)

arunreddy

# Create background noise profile from mp3
/usr/bin/sox noise.mp3 -n noiseprof noise.prof

# Remove noise from mp3 using profile
/usr/bin/sox input.mp3 output.mp3 noisered noise.prof 0.21

# Remove silence from mp3
/usr/bin/sox input.mp3 output.mp3 silence -l 1 0.3 5% -1 2.0 5%

# Remove noise and silence in a single command