import streamlit as st
import pandas as pd
import plotly.express as px

def show_session_analysis():
    st.title("Session Analysis")
    
    # File upload section
    st.header("Upload Session Data")
    
    upload_type = st.radio(
        "Select upload type:",
        ["Audio", "Video", "Text", "Manual Input"]
    )
    
    if upload_type in ["Audio", "Video"]:
        file = st.file_uploader(f"Upload {upload_type} file", type=["wav", "mp3", "mp4"])
        if file:
            analyze_media_file(file, upload_type)
            
    elif upload_type == "Text":
        file = st.file_uploader("Upload text file", type=["txt", "doc", "docx"])
        if file:
            analyze_text_file(file)
            
    else:  # Manual Input
        text_input = st.text_area("Enter session notes or transcript:")
        if text_input:
            analyze_text_input(text_input)

def analyze_media_file(file, type):
    # Implement media file analysis
    st.write(f"Analyzing {type} file...")
    # Use your MI analysis prompts here

def analyze_text_file(file):
    # Implement text file analysis
    st.write("Analyzing text file...")
    # Use your MI analysis prompts here

def analyze_text_input(text):
    # Implement text input analysis
    st.write("Analyzing input...")
    # Use your MI analysis prompts here