ochat

Crates.io	ochat
lib.rs	ochat
version	0.3.5
created_at	2024-07-14 12:15:20.197847+00
updated_at	2025-05-02 15:04:34.929101+00
description	A chatbot application that uses Ollama AIs.
homepage
repository	https://github.com/CodersCreative/ollama-chat-iced
max_upload_size
id	1302947
size	5,058,634

Creative Coders (CodersCreative)

documentation

README

OChat

A GUI made using iced and rust that allows you to easily talk to AI models.

Key Features

🚀 Effortless Setup: Install seamlessly using Cargo.
🤝 Ollama: Effortlessly chat to any AI model available at ollama and download each model within the app.
⚙️ Model Settings: Easily change the parameters of the model within the application.
🔢 Full Markdown Support: Elevate your LLM experience with comprehensive Markdown support for enriched interaction and styling.
🎤 Voice Calls: Experience seamless communication with integrated voice call features, allowing for a more dynamic and interactive chat environment.
🎤 Transcribe: Easily transcribe mic input within the application for hands-free use.
🗔 Panels: Engage with multiple activities within the app simultaneously using distinct panels.
⚙️ Many Models Conversations: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel.
🌟 Continuous Updates: I am committed to improving ochat with regular updates, fixes, and new features.

Installation

Download LLM Model

Install Ollama
Pull Orca-Mini

On Linux:

# Install ollama:
curl https://ollama.ai/install.sh | sh

# Pull orca-mini:
ollama pull orca-mini:3b

Run The App

Install

# To install from crates.io
cargo install ochat

# To run the installed program
ochat

Build & Run

# Clone the repository:
git clone https://gitlab.com/officialccoders/ollama-chat-iced.git
cd ollama-chat-iced

# Build and run app with release tags:
cargo build --release
cargo run --release

# Or simply:
cargo run