import streamlit as st
import nbformat
from nbconvert import PythonExporter
import os
import matplotlib
import seaborn
import sklearn
# Load and execute the notebook file
def execute_notebook(notebook_path):
    """Loads and executes the notebook, showing its content in the app."""
    if not os.path.exists(notebook_path):
        st.error("Notebook file not found!")
        return
    
    st.markdown("### Executing Notebook")
    with open(notebook_path, "r") as f:
        notebook_content = f.read()

    # Convert notebook to Python script
    exporter = PythonExporter()
    python_code, _ = exporter.from_notebook_node(nbformat.reads(notebook_content, as_version=4))

    # Execute the Python code dynamically
    try:
        exec(python_code, globals())
        st.success("Notebook executed successfully!")
    except Exception as e:
        st.error(f"Error executing notebook: {e}")

# Streamlit UI
def main():
    st.set_page_config(page_title="Notebook Runner", page_icon="📒", layout="wide")
    st.title("Notebook Runner App")

    notebook_file = "MLFlow Mentos Zindagi.ipynb"
    st.write(f"Loaded Notebook: **{notebook_file}**")

    if st.button("Run Notebook"):
        execute_notebook(notebook_file)

if __name__ == "__main__":
    main()