vitorcalvi

#!/bin/bash
set -e

# Install dependencies
brew install llvm libomp [email protected]

# Set up LLVM paths
export PATH="/opt/homebrew/opt/llvm/bin:$PATH"
export CC=$(brew --prefix llvm)/bin/clang
export CXX=$(brew --prefix llvm)/bin/clang++

vitorcalvi

import time
from alpaca_trade_api.rest import REST

# Set your Alpaca API credentials
ALPACA_API_KEY = 'PK1BN6P47Q9J5GMPJSXY'
ALPACA_SECRET_KEY = 'k1sXSgCkrpWSqQ3wyuKqwMT9H7q3hFLEAiVL0lif'
ALPACA_BASE_URL = 'https://paper-api.alpaca.markets'

# Initialize the Alpaca API
api = REST(ALPACA_API_KEY, ALPACA_SECRET_KEY, base_url=ALPACA_BASE_URL)

vitorcalvi

import os
import logging
import requests
from alpaca.data.historical.news import NewsClient
from alpaca.data.requests import NewsRequest
from datetime import datetime
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

vitorcalvi

# Step 1: Install the Termux app
# Download and install the Termux app from Google Play Store or F-Droid

# Step 2: Open Termux and run the following commands

# Update and upgrade existing packages
apt update && apt upgrade -y

# Install necessary packages
apt install clang python fftw libzmq freetype libpng pkg-config libcrypt -y

vitorcalvi

Installing docker on Ubuntu 20.04 / 22.04

Full reference here: https://docs.docker.com/engine/install/ubuntu/

Setup the repository

sudo apt-get update
sudo apt-get install apt-transport-https ca-certificates curl gnupg lsb-release

Add Docker’s official GPG key:

vitorcalvi

Shrink code
Requirements:
Combined import statements into a single line where possible.
Removed unnecessary whitespace and comments.
Inlined some logic to reduce the number of lines.
Used list comprehensions and generator expressions to simplify the code.
Shortened variable names where readability was not compromised.

vitorcalvi

NAME=$(basename "$(ls -td ~/Desktop/webllama/*/ | head -1)") && conda create -n "$NAME" python=3.10 -y && conda activate "$NAME" && read -p "Install packages from requirements.txt? (yes/no): " choice && [[ "$choice" == "yes" ]] && pip install -r requirements.txt

vitorcalvi

import os
import json
import argparse
from huggingface_hub import snapshot_download, HfApi

# Parse command-line arguments
parser = argparse.ArgumentParser(description="Convert and upload a model to Hugging Face Hub.")
parser.add_argument("--hf_token", type=str, required=True, help="Hugging Face token")
parser.add_argument("--model_id", type=str, required=True, help="Model ID on Hugging Face Hub")
parser.add_argument("--outtype", type=str, required=True, help="Output type for the conversion (e.g., q8_0, f16, f32)")

vitorcalvi

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

# Function to print messages

vitorcalvi

# Version 1
#env_name='mlx-chat-app'; 
#conda deactivate &&  conda remove --name "$env_name" --all -y && \
#conda create -n "$env_name" python=3.10 -y && conda activate "$env_name" && 
# pip install tensorflow-macos tensorflow-metal &&
# pip install -r requirements.txt

read -p "Enter the name of the conda environment: " env_name && conda deactivate && conda remove --name "$env_name" --all -y && conda create -n "$env_name" python=3.10 -y && conda activate "$env_name" && pip install -r requirements.txt