ezollama 0.1.0

A lightweight Python wrapper for Ollama AI models.

EZollama

A simple Python library for interacting with Ollama models via their local API.
Supports model selection, chatting, persistent system prompts, listing models, downloading models, resetting chat history, and text-to-speech.

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Installation

1. Install Ollama:
   Download and install Ollama from https://ollama.com/download.
   The library will prompt to install Ollama if not found.

2. Python dependencies:
   The library auto-installs pyttsx3 for text-to-speech if missing.

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Usage

Import

from ezollama import ez

Set Model

ez.setmodel("llama2")

Set Persistent System Prompt

ez.set_system_prompt("You are a helpful assistant.")

Chat

response = ez.chat("Hello!")
print(response)

List Available Models

models = ez.list_models()
print(models)

Pull (Download) a Model

ez.pull_model("llama2")

Reset Chat History

ez.reset_history()

Text-to-Speech

ez.text_to_speech("Hello, this is Ollama speaking.")

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Example

from ezollama import ez

ez.setmodel("llama3.2:3b")
ez.set_system_prompt("You are a friendly assistant.")

while True:
    user_input = input("- ")
    resp = ez.chat(user_input)
    print(resp)
    ez.text_to_speech(resp)

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Notes

• The library checks and quietly starts the Ollama server before each API call.
• If Ollama is not installed, you will be prompted to install it.
• If the model does not exist, pull_model will print a message.
• Text-to-speech uses pyttsx3 and works cross-platform.