from huggingface_hub import InferenceClient

import os

client = InferenceClient(
    api_key=os.environ["HF_TOKEN"],
    provider="auto",   # Automatically selects best provider
)

# Chat completion
completion = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V3-0324",
    messages=[{"role": "user", "content": "A story about hiking in the mountains"}]
)

# Image generation
image = client.text_to_image(
    prompt="A serene lake surrounded by mountains at sunset, photorealistic style",
    model="black-forest-labs/FLUX.1-dev"
)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://router.huggingface.co/v1",
    api_key=os.environ["HF_TOKEN"],
)

completion = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V3-0324",
    messages=[
        {
            "role": "user",
            "content": "A story about hiking in the mountains"
        }
    ],
)

import { InferenceClient } from "@huggingface/inference";

const client = new InferenceClient(process.env.HF_TOKEN);

const chatCompletion = await client.chatCompletion({
    provider: "auto",  // Automatically selects best provider  
    model: "deepseek-ai/DeepSeek-V3-0324",
    messages: [{ role: "user", content: "Hello!" }]
});

const imageBlob = await client.textToImage({
  model: "black-forest-labs/FLUX.1-dev",
  inputs:
    "A serene lake surrounded by mountains at sunset, photorealistic style",
});

import { OpenAI } from "openai";

const client = new OpenAI({
  baseURL: "https://router.huggingface.co/v1",
  apiKey: process.env.HF_TOKEN,
});

const completion = await client.chat.completions.create({
  model: "meta-llama/Llama-3.1-8B-Instruct",
  messages: [{ role: "user", content: "A story about hiking in the mountains" }],
});