theaigurux

# pip install fastapi uvicorn
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float
    in_stock: bool = True

theaigurux

# RAG Pipeline - Complete Working Example
# Install: pip install langchain langchain-openai langchain-community chromadb pypdf

import os
from langchain_community.document_loaders import PyPDFLoader, TextLoader, WebBaseLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_openai import OpenAIEmbeddings, ChatOpenAI
from langchain_community.vectorstores import Chroma
from langchain.chains import RetrievalQA
from langchain.prompts import PromptTemplate

theaigurux

# Enhanced AI Prompt Generator

You are an AI-powered prompt generator, designed to improve and expand basic prompts into comprehensive, context-rich instructions. Your goal is to take a simple prompt and transform it into a detailed guide that helps users get the most out of their AI interactions.

## Your process:

1. **Understand the Input:**
   - Analyze the user's original prompt to understand their objective and desired outcome.
   - If the prompt is vague or ambiguous, infer the most useful interpretation AND note what clarifying questions you would ask.
   - Consider: context, target audience, specific goals, constraints, and preferred depth level.

theaigurux

from langchain_openai import ChatOpenAI
from langchain.prompts import PromptTemplate
from langchain.agents import initialize_agent, AgentType
from langchain.tools import Tool
import requests

# 1. Prompt Template
prompt = PromptTemplate(
    input_variables=["topic"],
    template="Explain {topic} in 3 sentences for a developer audience."

theaigurux

import { useCurrentFrame, interpolate, AbsoluteFill } from 'remotion';
import { spring, useVideoConfig } from 'remotion';

// A simple fade-in text animation
export const MyVideo: React.FC = () => {
  const frame = useCurrentFrame();
  const { fps } = useVideoConfig();

  // Fade in over 30 frames
  const opacity = interpolate(frame, [0, 30], [0, 1], {

theaigurux

# Telegram AI Assistant with GPT-4o
# Install: pip install python-telegram-bot openai
# Setup: Create bot via @BotFather on Telegram, get OpenAI API key

import os
from telegram import Update
from telegram.ext import (
    Application,
    CommandHandler,
    MessageHandler,

theaigurux

# pip install requests beautifulsoup4
import requests
import csv
from bs4 import BeautifulSoup

# Scrape Hacker News front page
url = 'https://news.ycombinator.com'
html = requests.get(url).text
soup = BeautifulSoup(html, 'html.parser')
titles = soup.select('.titleline > a')

theaigurux

# Add a Claude Code plugin

# Method 1: From GitHub
claude plugin add github.com/user/plugin

# Method 2: From registry
claude plugin search "code review"
claude plugin install best-reviewer

# Method 3: Local development

theaigurux

from collections import Counter

# 1. Flatten a nested list
nested = [[1, 2], [3, 4], [5, 6]]
flat = [x for sub in nested for x in sub]
print(flat)  # [1, 2, 3, 4, 5, 6]

# 2. Swap two variables
a, b = 10, 20
a, b = b, a