AI Translator App Using OpenRouter API

AI-powered Translator web application utilizing the OpenRouter API and freely available AI models, integrated with Python and Streamlit frameworks.

Prerequisites

Before we begin, make sure you have the following:

• Python 3.6+ installed on your machine.
• Basic knowledge of Python programming.
• Familiarity with Streamlit for building web applications.
• An API key from OpenRouter. You can sign up and get one here.

Setting Up the Environment

First, let’s install the necessary Python packages. Open your terminal and run:

pip install streamlit requests python-dotenv

Environment Variables

To keep your API key secure, we’ll use a .env file. In your project directory, create a .env file:

touch .env

OPENROUTER_API_KEY=your_openrouter_api_key

Defining Available AI Models

As of the time of writing this readme file, these are the list of free AI models available on OpenRouter:

# Free AI models
AI_MODELS = [
    "google/gemini-2.5-pro-exp-03-25:free",
    "google/gemma-3-1b-it:free",
    "google/gemma-3-4b-it:free",
    "google/gemma-3-12b-it:free",
    "google/gemma-3-27b-it:free",
    "google/gemini-2.0-flash-lite-preview-02-05:free",
    "google/gemini-2.0-pro-exp-02-05:free",
    "google/gemini-2.0-flash-thinking-exp:free",
    "google/gemini-2.0-flash-thinking-exp-1219:free",
    "google/gemini-2.0-flash-exp:free",
    "google/learnlm-1.5-pro-experimental:free",
    "google/gemini-flash-1.5-8b-exp",
    "google/gemma-2-9b-it:free",
    "deepseek/deepseek-chat-v3-0324:free",
    "deepseek/deepseek-r1-zero:free",
    "deepseek/deepseek-r1-distill-llama-70b:free",
    "deepseek/deepseek-r1:free",
    "deepseek/deepseek-chat:free",
    "meta-llama/llama-3.3-70b-instruct:free",
    "meta-llama/llama-3.2-3b-instruct:free",
    "meta-llama/llama-3.2-1b-instruct:free",
    "meta-llama/llama-3.2-11b-vision-instruct:free",
    "meta-llama/llama-3.1-8b-instruct:free",
    "meta-llama/llama-3-8b-instruct:free",
    "qwen/qwen2.5-vl-3b-instruct:free",
    "qwen/qwen2.5-vl-32b-instruct:free",
    "qwen/qwq-32b:free",
    "qwen/qwen2.5-vl-72b-instruct:free",
    "deepseek/deepseek-r1-distill-qwen-32b:free",
    "deepseek/deepseek-r1-distill-qwen-14b:free",
    "qwen/qwq-32b-preview:free",
    "qwen/qwen-2.5-coder-32b-instruct:free",
    "qwen/qwen-2.5-72b-instruct:free",
    "qwen/qwen-2.5-vl-7b-instruct:free",
    "qwen/qwen-2-7b-instruct:free",
    "allenai/molmo-7b-d:free",
    "bytedance-research/ui-tars-72b:free",
    "featherless/qwerky-72b:free",
    "mistralai/mistral-small-3.1-24b-instruct:free",
    "open-r1/olympiccoder-7b:free",
    "open-r1/olympiccoder-32b:free",
    "rekaai/reka-flash-3:free",
    "moonshotai/moonlight-16b-a3b-instruct:free",
    "nousresearch/deephermes-3-llama-3-8b-preview:free",
    "cognitivecomputations/dolphin3.0-r1-mistral-24b:free",
    "cognitivecomputations/dolphin3.0-mistral-24b:free",
    "mistralai/mistral-small-24b-instruct-2501:free",
    "sophosympatheia/rogue-rose-103b-v0.2:free",
    "nvidia/llama-3.1-nemotron-70b-instruct:free",
    "mistralai/mistral-nemo:free",
    "mistralai/mistral-7b-instruct:free",
    "microsoft/phi-3-mini-128k-instruct:free",
    "microsoft/phi-3-medium-128k-instruct:free",
    "openchat/openchat-7b:free",
    "undi95/toppy-m-7b:free",
    "huggingfaceh4/zephyr-7b-beta:free",
    "gryphe/mythomax-l2-13b:free"
]

The list of freely available AI models will update regularly, so check on OpenRouter for more updates.

Running the Streamlit App

streamlit run app.py

For more explanation on part by part of the script, please refer to Create an AI Translator App with OpenRouter API, Python, and Streamlit.