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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
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