Create session_analysis.py

session_analysis.py

@@ -0,0 +1,44 @@
+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