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Sleeping
| 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 | |