Tarjimon websayt

Python dasturlash tilidagi FastAPI freymworkida yasalgan

sayt manzili: https://translator-website-eight.vercel.app/

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Image Search API

Bu API bilan shunchaki rasm qidirishingiz mumkin

API manzili: https://image-search-api323.vercel.app/

2025 yilda python uchun Top 4 tekin Hostlar
https://telegra.ph/2025-yilda-Top-4-tekin-Hostlar-07-16

feedback kutaman

2025 yilda Top 5 tekin Hostlar
https://telegra.ph/2025-yilda-Top-5-tekin-Hostlar-07-27

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@BackendDevs_uz - backend yo’nalishiga oid yangi kanal ochildi. Bu kanalda nafaqat python bali C++ java va shunga o’xshash boshqa backend yo’nalishidagi dasturlash tillar bo’yicha quizlar va foydali malumotlar qo’yiladi.

O’tib obuna bo’lib qo’yilar

Song Finder API - Ko'plab Musiqalarni tez va oson qidiring

Bu APIda nimalar bor:
✅Har xil tildagi qo'shiqlar
✅Qo'shiqlar Kliplari
✅Qo'shiqlar so'zlari

🔗Manzili: https://songfinder.alwaysdata.net/

🤖Namuna Bot: @musiqa_topuvchi_botbot

Limit yo'q, oyiga 50 ming so'm
Murojaat uchun: @jackson_rodger

Imagenest - pinterest platformasiga o'xshash websayt

https://imagenest-6yur.onrender.com/

python dasturlash tilidagi django frameworkida yasaldi

✅Admin panel bor

Source Code: https://github.com/sinofarmonov323/imagenest-clone-django

Musiqa Topuvchi Bot

Bu oddiy boshqa botlarga o'xshagan musiqa topuvchi bot

Bot manzili: @musiqa_topuvchi_botbot

https://songfinder.alwaysdata.net API orqali ishlaydi

Suhbaddosh Bot

Bu bot orqali siz o’zingizga anonim tarzda suhbaddosh topishingiz mumkin

Bot manzili: @suhbaddosh1bot

Savol: o’zi bunaqa botlarga talab bormi 🤔?

from langchain_huggingface import HuggingFaceEmbeddings
from langchain.vectorstores import FAISS
from langchain.document_loaders import PyPDFLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.chains.conversational_retrieval.base import ConversationalRetrievalChain
from langchain.memory import ConversationBufferMemory
from langchain_google_genai import ChatGoogleGenerativeAI
import os

os.environ["HUGGINGFACEHUB_API_TOKEN"] = "HUGGINGFACE_API_TOKEN"
os.environ["GOOGLE_API_KEY"] = "GOOGLE_API_KEY"

loader = PyPDFLoader("fayl.pdf")
documents = loader.load()

splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
docs = splitter.split_documents(documents)

embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")

vectorstore = FAISS.from_documents(docs, embeddings)

llm = ChatGoogleGenerativeAI(model="gemini-2.5-pro", temperature=0.3)

memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)

qa = ConversationalRetrievalChain.from_llm(
    llm=llm,
    retriever=vectorstore.as_retriever(),
    memory=memory
)

print("📚 PDF Chatbot ready! Type 'exit' to quit.\n")
while True:
    query = input("You: ")
    if query.lower() in ["exit", "quit"]:
        break
    result = qa({"question": query})
    print("Bot:", result["answer"])

Savollaringizga Javob beruvchi ChatBot

Bu Chatbot siz ulagan PDF faylingiz asosida siz so'ragan savollaringizga javob beradi va suhbad davomida u oldingiz aytganlaringizni eslab qoladi. Bu Gemini-2.5-pro Model asosida ishlaydi. Siz o'zingiz xohalganingizdek Gemini-2.5-pro ni o'rniga Gemini-1.5-pro, Gemini-2.5-flash Gemini-1.5-flash modellarini ishlatishingiz mumkin

O'RNATISH

pip install langchain langchain-google-genai

Ishga tushirganingizga xatolik chiqarib oxirida yana qaysidir kutubxonalarni o'rnatish kerak ekanligini ko'rsatadi. Ularni ham o'rnating (o'zim ham aytsam bo'ladi lekin esimga kemaydi qaysilar ekanligi)

Gemini API Keyni olish:
Ro'yxatdan o'tmagan bo'lsangiz ro'yxatdan o'ting
shu websaytga kiring
"Create API Key" tugmasiga bosing
API Keyingizni xohalgan nomingizni bering va "Create Key" ni bosing

Huggingfacedan API Tokenni olish:
Ro'yxatdan o'tmagan bo'lsangiz ro'yxatdan o'ting
shuyerga kiring
"Crete new token"ga bosing
Tokeningizga nom bering
O'zingizga kerakli ruxsatlarni bering va pastga tushib "Create token"ni bosing

Xoxishga qarab ChatGPT yoki Claudeni ulasa ham bo'ladi. Lekin tekin variant qilib Gemini ulavordim

baho berilarchi

Bugun nima yasaymiz?

Agar Kiber Xavfsizlikga qiziqsangiz shu kanalimga qo'shilib oling
@white_hat_uz

# pip install google-genai

from google import genai

client = genai.Client(api_key="")

javob = client.models.generate_content(
    model="gemini-2.5-flash",
    contents="Salom sen kimsan"
)

print(javob.text)

Pythonda Gemini Suniy intelektiga APIga so'rov yuborish

O'RNATISH

pip install google-genai

Uzbek Gemini Bot

Gemini 2.5 flash modeli asosida yasalgan sodda Telegram Bot

Bot manzili: @uzbekgeminibot

Source Code: https://github.com/sinofarmonov323/gemini-telegram-bot

Ob Havo Bot

Shunchaki ob havo malumotlarini beruvchi bot

Bot Manzili: @obhavo_malumotlaribot

Universal Tarjimon Bot

Bu 12 ta tilni qo'llab quvvatlovchi Universal Tarjimon Bot

Bot manzili: @universaltarjimon1bot

Assalomu alaykum
Man biror bir foydali telegram bot yoki website qilmoqchiman lekin g'oya yo'q. Mening taklifim sizlar shu postni izohiga o'z g'oyangizni yozib keting va man uni qilib kerak bo'lsa kodlarini ham tashlayman

OsonBot

pytelegrambotapi va aiogram kutubxonasiga o'xshash telegram bot yasash uchun kutuxona

pip install osonbot

FARQI:
aiogram kutubxonasida

from aiogram import Bot, Dispatcher, types
from aiogram.filters import CommandStart
import asyncio

dp = Dispatcher()

@dp.message(CommandStart())
async def start(message: types.Message):
     await message.answer(f"Salom {message.from_user.first_name}")

@dp.message()
async def echo(message: types.Message):
     await message.answer(message.text)

async def main():
     bot = Bot("token")
     await dp.start_polling(bot)

asyncio.run(main())

Pytelegrambotapi kutubxonasida

from telebot import Bot

bot = Bot("token")

@bot.message_handler(commands=['start'])
def start(message):
     bot.send_message(message.chat.id, f"Salom {message.from_user.first_name}")

@bot.message_handler()
def echoo(message):
     bot.send_message(message.chat.id, message.text)

bot.infinity_polling()

osonbot kutubxonasida

from osonbot import Bot

bot = Bot("token")

bot.when("/start", "Salom {first_name}")
bot.when("*", "{message_text}")

bot.run()

Bundan maqsan menki zo'r meikini ishlatilar demoqchi emasman. Shunchaki shunaqa kutubxona yaasadim bir ko'rilar yoqsa ishlatilar demoqchiman. Lekin bot APIdagi ko'p funksiyalar yo'q

kerak bo'lsa mana source code va docs: https://github.com/sinofarmonov323/osonbot

aiogram va pytelegrambotapidan farqi bunda avtomatik databaza bor va databaza bilal ishlash osonroq. Va CLI - command line tool bor