https://github.com/promptengineer48/local_llm-telegram_bot
https://github.com/promptengineer48/local_llm-telegram_bot
Last synced: 26 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/promptengineer48/local_llm-telegram_bot
- Owner: PromptEngineer48
- Created: 2023-11-05T05:23:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-05T05:31:16.000Z (over 1 year ago)
- Last Synced: 2025-04-03T17:22:56.987Z (about 2 months ago)
- Language: Python
- Size: 7.81 KB
- Stars: 10
- Watchers: 3
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Local_LLM-Telegram_Bot
In the video, we are going to power a Telegram Bot with a Local LLM hosted via LMStudio
We will code the project in python programming language from start to finish.
Code can be accessed via the Github Repo given below.
Let’s do this !!
Join the AI Revolution !!
🤠Echo bot link: https://docs.python-telegram-bot.org/en/v20.6/examples.echobot.html
🍿 Link for RunPod: https://bit.ly/3pFCmP5
#ai #lmstudio #instagrambot #botfather #bottutorial #tutorial #python #llm #largelanguagemodels #memgpt #localllms #agi #runpods #autogen #textgenwebui
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🔖 Twitter Profile: https://twitter.com/prompt48
TIME STAMPS:
0:00 Intro
0:47 - Installation of Telegram Desktop
2:08 - Python Installation
2:14 - VSCode Installation
2:27 - LM Studio Installation
3:26 - Create Virtual Environment
8:47 - Botfather
9:48 - New Bot Creation
10:28 - Adding Token
12:00 - Echo Function
13:41 - Main Code
14:21 - Open AI Library Installation
14:40 - Explanation of the Code
20:21 - Local Host API Key of LLM Set Up
23:00- Start the Inference
27:00 Future Prospects
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