import streamlit as st

st.set_page_config(page_title="Gemma LLM Fine-Tuning UI", layout="wide")

# Main Page Title and Description
st.title("Gemma LLM Fine-Tuning Suite 🚀")
st.markdown("""
### 🔥 Multi-page AI Model Trainer
- **Chat**: Interact with the model.
- **Fine-tuning**: Train on `train_data.csv` or upload new datasets.
- **Conversion**: Export models to TorchScript and ONNX.
- **Dataset Management**: View and add to your training data.
""")

# Sidebar Navigation with Custom Labels
st.sidebar.title("Navigation")
nav_options = [
    "🔹 Chat",
    "🔹 Fine-tuning",
    "🔹 Conversion",
    "🔹 Dataset Management"
]
selected_page = st.sidebar.radio("Go to", nav_options)

# Page Content based on Navigation Selection
if selected_page == "🔹 Chat":
    st.header("Chat with Gemma")
    st.write("Interact with the model in a conversational interface. Coming soon!")
elif selected_page == "🔹 Fine-tuning":
    st.header("Fine-tuning Gemma")
    st.write("Fine-tune your Gemma model using your dataset. Coming soon!")
elif selected_page == "🔹 Conversion":
    st.header("Model Conversion")
    st.write("Convert your model to various formats. Coming soon!")
elif selected_page == "🔹 Dataset Management":
    st.header("Dataset Management")
    st.write("Manage your training datasets. Coming soon!")