### Install Ollama Client Dependencies Source: https://github.com/devskale/uberlama/blob/main/README.md Installs the necessary Python dependencies for the Ollama WebSocket client using pip. Requires Python 3.7 or higher. ```bash pip install aiohttp ``` -------------------------------- ### Makefile Build and Run Commands Source: https://github.com/devskale/uberlama/blob/main/documentation.html Provides essential commands for setting up the project environment, starting the server, running the client, and executing tests using make. ```makefile install: @echo "Installing dependencies..." @pip install -r requirements.txt server: @echo "Starting the WebSocket server..." @python server.py client: @echo "Running the WebSocket client..." @python client.py test: @echo "Running tests..." @python test.py ``` -------------------------------- ### HTML Interface for Ollama Server Source: https://github.com/devskale/uberlama/blob/main/documentation.html The HTML file provides a user interface for interacting with the Ollama server. It includes instructions and a placeholder for client code examples. ```html Ollama Crowd-Funded Server

Ollama Crowd-Funded Server Interface

Welcome! This interface allows you to interact with the Ollama server.

Instructions

Follow the instructions in the project documentation to connect and use the server.

Client Code Example

Here is an example of how to connect using the client:

# Placeholder for client-side connection code
# See client.py for implementation details.

``` -------------------------------- ### Ollama Python Client Chat Example Source: https://github.com/devskale/uberlama/blob/main/index.html Demonstrates how to use the official Ollama Python client to connect to a crowd-funded server. It initializes the client with a specific host, manages chat messages, and streams responses from the 'qwen2.5-coder:0.5b' model. ```python from ollama import Client client = Client( host="https://ollama.molodetz.nl" ) messages = [] def chat(message): if message: messages.append({'role': 'user', 'content': message}) content = '' for response in client.chat(model='qwen2.5-coder:0.5b', messages=messages, stream=True): content += response.message.content print(response.message.content, end='', flush=True) messages.append({'role': 'assistant', 'content': content}) print("") while True: message = input("You: ") chat(message) ``` -------------------------------- ### Run Ollama WebSocket Client (Default) Source: https://github.com/devskale/uberlama/blob/main/README.md Runs the Ollama WebSocket client using its default configuration settings for concurrency and Ollama URL. ```bash python client.py ``` -------------------------------- ### Server Implementation Overview Source: https://github.com/devskale/uberlama/blob/main/documentation.html Outlines the key classes and functions for the WebSocket server, responsible for managing connections, message queues, and forwarding messages between clients and the Ollama API. ```python class OllamaServer: """Manages individual WebSocket connections and message queues.""" pass class ServerManager: """Manages multiple OllamaServer instances and forwards messages.""" pass def websocket_handler(request): """Handles incoming WebSocket connections and initializes OllamaServer.""" pass def http_handler(request): """Handles HTTP requests and forwards them to the appropriate WebSocket server.""" pass ``` -------------------------------- ### Client Implementation Overview Source: https://github.com/devskale/uberlama/blob/main/documentation.html Details the core functions for the WebSocket client, including connection establishment, message handling, and URL validation. It connects to a WebSocket server and interacts with the Ollama API. ```python def websocket_client(url: str, ollama_url: str): """Connects to the WebSocket server and handles message exchange.""" pass def main(concurrency: int, ollama_url: str): """Initializes multiple WebSocket connections based on concurrency.""" pass def validate_url(url: str): """Validates the provided URL format.""" pass ``` -------------------------------- ### Use Ollama Python Client Source: https://github.com/devskale/uberlama/blob/main/README.md Demonstrates how to initialize and use the official Ollama Python client to interact with a crowd-funded server. It includes a chat function that streams responses and maintains conversation history. ```python from ollama import Client client = Client( host="https://ollama.molodetz.nl" ) messages = [] def chat(message): if message: messages.append({'role': 'user', 'content': message}) content = '' for response in client.chat(model='qwen2.5-coder:0.5b', messages=messages, stream=True): content += response.message.content print(response.message.content, end='', flush=True) messages.append({'role': 'assistant', 'content': content}) print("") while True: message = input("You: ") chat(message) ``` -------------------------------- ### Run Ollama WebSocket Client Source: https://github.com/devskale/uberlama/blob/main/README.md Executes the Ollama WebSocket client script with specified concurrency and Ollama URL. Allows customization of concurrent connections and the target Ollama API endpoint. ```bash python client.py --concurrency --ollama_url ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.