LCEL LLM Translator

An end-to-end LLM-powered text translation application built with LangChain Expression Language (LCEL), featuring a FastAPI backend for high-performance inference, LangServe for seamless model deployment, and a Streamlit client for an intuitive user interface.

Features

• LCEL pipeline — declarative, composable LangChain Expression Language chains
• Multi-language translation — translate between multiple language pairs
• Groq-powered inference — high-speed LLM inference via Groq's LLaMA models
• FastAPI backend — async, production-ready API server
• LangServe deployment — automatic REST API generation from LCEL chains
• Streamlit client — clean, responsive translation interface
• Configurable models — swap between different LLM providers and models

Tech Stack

• Python 3 — Core programming language
• LangChain + LCEL — Declarative LLM pipeline framework
• FastAPI — High-performance API server
• LangServe — LCEL chain deployment infrastructure
• Streamlit — Web client interface
• Groq — LLaMA model inference API

Getting Started

git clone https://github.com/giovanniromero-dev/lcel-llm-translator.git
cd lcel-llm-translator
pip install -r requirements.txt
# Configure your .env with Groq API key
python server.py    # Start FastAPI + LangServe server
streamlit run client.py  # In a separate terminal, start the UI

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Built with dedication by Giovanni Romero