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https://github.com/neo-vortex/chatwithtelegrampoc
A PoC projects tries to demonstrates the idea of having AI processing our social media messages
https://github.com/neo-vortex/chatwithtelegrampoc
Last synced: 14 days ago
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A PoC projects tries to demonstrates the idea of having AI processing our social media messages
- Host: GitHub
- URL: https://github.com/neo-vortex/chatwithtelegrampoc
- Owner: Neo-vortex
- Created: 2023-11-16T15:23:33.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-13T09:54:12.000Z (8 months ago)
- Last Synced: 2024-05-14T09:28:56.580Z (8 months ago)
- Language: C#
- Size: 6.84 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
Awesome Lists containing this project
README
# AI Social Media Chat Processor
This Proof of Concept (PoC) project demonstrates the idea of using AI to process social media messages, with a focus on Telegram, using .NET technologies. The project includes functionality to summarize chats and send messages to users in a smart way.
## Features
- **Message Sending:** The AI-powered Telegram client can send messages to users based on user input.
- **Chat Summarization:** It can summarize the last 10 messages of a conversation.
## Getting Started
Follow the steps below to set up and run the project locally.
### Prerequisites
- [.NET SDK](https://dotnet.microsoft.com/download)
- [Ollama CLI with llama2 model ](https://github.com/jmorganca/ollama)
### Installation
1. Clone the repository:
```bash
git clone https://github.com/Neo-vortex/ChatWIthTelegramPoC
```
2. cd in the dir :
```bash
cd ChatWIthTelegramPoC
```
3. run the project
```bash
dotnet run
```
### Configuration
Set up your Telegram API credentials, phone number and ollama url:
```bash
export APP_ID=your_app_id
export API_HASH=your_api_hash
export PHONE_NUMBER=your_phone_number
export OLLAMA_URL=your_ollama_api_url
```
### How it Works
* The project uses the WTelegram library for interacting with the Telegram API.
* AI responses are generated using the Ollama API, providing intelligent and context-aware replies.
### Notes
* Ensure that you have the necessary permissions and authentication for using the Telegram API.
* The Ollama API should be accessible and configured with the appropriate models.
### License
This project is licensed under the MIT License. Feel free to use, modify, and distribute the code.
### Acknowledgments
* Thanks to the developers of WTelegram and Ollama for their excellent libraries and tools.