app.py

import streamlit as st

st.set_page_config(page_title="LLM Evaluation Lab – by Fikran", layout="wide")

st.title("🔬 LLM Evaluation Lab – Real-world Testing by Fikran")
st.markdown(
    """
    Welcome to the interactive showcase for evaluating **Large Language Models** (LLMs) using real-world user interactions!

    🚀 **What this is**: A companion demo to [Fikran](https://fikran.com), a multilingual platform where people interact with AI agents in a natural, dynamic environment.  
    ✅ We offer model testing, benchmarking, and prompt refinement in live contexts—not just synthetic benchmarks.

    ---
    """
)

st.header("🎯 What You Can Do Here")
st.markdown(
    """
    - ✅ Understand the **real-world performance** of your LLMs.
    - 📊 Track how they behave across different user queries and scenarios.
    - 🔧 Apply **prompt engineering**, **LoRA-based customization**, and **dialogue tuning**.
    - 📂 Export insights as PDF reports or structured logs.

    This system is perfect for:
    - Researchers evaluating fine-tuned models  
    - Product teams testing chatbot behavior before deployment  
    - Prompt engineers experimenting with multi-agent setups  
    """
)

st.header("🛠️ Try It or Order a Full Evaluation")

col1, col2 = st.columns(2)

with col1:
    if st.button("🌐 Try Fikran Now"):
        st.markdown("[Click to explore Fikran](https://www.fikran.com/terms/about-us?lang=english)", unsafe_allow_html=True)

with col2:
    if st.button("📦 Order a Full Evaluation"):
        st.markdown("[See the Service on Upwork](https://www.upwork.com/services/product/development-it-a-real-world-evaluation-of-your-llm-in-a-dynamic-interactive-environment-1909379987479305454)", unsafe_allow_html=True)

st.markdown("---")

st.info("This app is maintained by [Abdennacer Elbasri](https://huggingface.co/elbasri), founder of Fikran.")