vikramsoni2

from bayes_opt import BayesianOptimization
from sklearn.cross_validation import KFold
import xgboost as xgb

def xgbCv(train, features, numRounds, eta, gamma, maxDepth, minChildWeight, subsample, colSample):   
   # prepare xgb parameters 
   params = {
            "objective": "reg:linear",
            "booster" : "gbtree",
            "eval_metric": "mae",            

vikramsoni2

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

vikramsoni2

apt-get update && apt-get -y upgrade
apt-get install -y wireguard-tools dumb-init git

#Install NodeJS
curl -sL https://deb.nodesource.com/setup_16.x | bash -
apt-get update && apt-get -y upgrade
apt -y install nodejs

#Install WG Easy
git clone https://github.com/WeeJeWel/wg-easy WGEASY

vikramsoni2

[Unit]
Description=WG-Easy Service
After=network.target

[Service]
ExecStart=/usr/bin/node /app/server.js
WorkingDirectory=/app
Restart=always
User=root
Group=nogroup

vikramsoni2

"""QA Chatbot streaming using FastAPI, LangChain Expression Language , OpenAI, and Chroma.

Features
--------
- Persistent Chat Memory:
    Stores chat history in a local file.
- Persistent Vector Store:
    Stores document embeddings in a local vector store.
- Standalone Question Generation:
    Rephrases follow-up questions to standalone questions in their original language.

vikramsoni2

#pip install git+https://github.com/huggingface/transformers.git

import datetime
import sys
from transformers import pipeline
from transformers.pipelines.audio_utils import ffmpeg_microphone_live

pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=0)
sampling_rate = pipe.feature_extractor.sampling_rate