Cdaprod

#!/usr/bin/env bash
# sudo tee /dev/null <<'EOF'
# ==============================================================================
# Streamctl - Wayland/Wlroots Display Streaming Tool (Hardened, Parallel-Enabled)
#
# A versatile, fault-tolerant streaming control utility with support for:
#   • HLS, MJPEG, RTSP streaming modes with graceful fallback
#   • Custom streaming profiles (e.g. YouTube with your stream key)
#   • OBS WebSocket configuration (port 4455) for eventual integration
#   • Desktop recording mode

Cdaprod

#!/bin/bash
# =========================================================================
# Enhanced File Finder Script with FZF Integration
# 
# Created by: David Cannan
# Email: [email protected]
# GitHub: https://github.com/Cdaprod
# YouTube: https://youtube.com/@Cdaprod
# 
# Save to /usr/local/bin/f and make executable with: chmod +x /usr/local/bin/f

cliffano

Minecraft Version	Server Jar Download URL	Client Jar Download URL
25w17a	https://piston-data.mojang.com/v1/objects/575756f90e54e5c2cd78997dd9e3579936aa9d6d/server.jar	https://piston-data.mojang.com/v1/objects/213e49c5ad5361ba89e4e35529fb36ec46617fc3/client.jar
25w16a	https://piston-data.mojang.com/v1/objects/3d8223843a659d8ebc33459864ba02b34485ea11/server.jar	https://piston-data.mojang.com/v1/objects/46b06a1758054ab1a50f7f3047772db7c2e5a9d7/client.jar
25w15a	https://piston-data.mojang.com/v1/objects/fed01fcdf4d2f37b3f847e08fd099714766533c3/server.jar	https://piston-data.mojang.com/v1/o

hwchase17

from langchain.chains.openai_functions import create_structured_output_runnable
from langchain.chat_models import ChatOpenAI
from langchain.prompts import ChatPromptTemplate
from langchain.pydantic_v1 import BaseModel, Field
 
class Insight(BaseModel):
    insight: str = Field(description="""insight""")

chat_model = ChatOpenAI(model_name="gpt-4-1106-preview")

mberman84

1. # create new .py file with code found below
2. # install ollama
3. # install model you want “ollama run mistral”
4. conda create -n autogen python=3.11
5. conda activate autogen
6. which python
7. python -m pip install pyautogen
7. ollama run mistral
8. ollama run codellama
9. # open new terminal

hwchase17

from langchain.chat_models import ChatOpenAI
from langchain.prompts import ChatPromptTemplate
from langchain.schema.output_parser import StrOutputParser
import requests
from bs4 import BeautifulSoup
from langchain.schema.runnable import RunnablePassthrough, RunnableLambda
from langchain.utilities import DuckDuckGoSearchAPIWrapper
import json

RESULTS_PER_QUESTION = 3

Cdaprod

Modified Python Script for Text and Data Processing with Minio and Transformers

This Python script is designed to perform several operations related to text and data processing using Minio for object storage and the Transformers library for text tokenization. The script is organized into various functions, each responsible for a specific task.

Functions:

1. init_logger(log_level: str): Initializes the logging mechanism with a given log level.

2. check_env(): Checks for the existence of required environment variables for Minio client setup.

Cdaprod

import os
import ast
from pydantic import BaseModel, Field
from typing import List

# Pydantic model for function code blocks
class FunctionCodeBlock(BaseModel):
    code: str = Field(..., description="The Python code block")

    class Config:

Cdaprod

Cdaprod