streamlit_app.py

import streamlit as st
import tempfile
import os

# App Header
st.title("Business Process and Analytics Lab: Multimodal Emotion Analysis")

# Video Upload
video_file = st.file_uploader("Upload your video file", type=["mp4", "mov", "avi"])

# Display the uploaded video if it exists
if video_file is not None:
    # Display the video
    st.video(video_file)

    # Save the uploaded video to a temporary file
    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmp_file:
        tmp_file.write(video_file.read())
        temp_video_path = tmp_file.name

    # Inform the user that the video is ready for analysis
    st.write(f"Video saved for analysis: {os.path.basename(temp_video_path)}")

    # Buttons for Emotion Analysis
    st.header("Choose Emotion Analysis Method")
    
    if st.button("Facial Expressions"):
        st.write("Facial Expressions analysis will be implemented here.")
        # Placeholder for facial expression analysis
        # This would use temp_video_path for analysis

    if st.button("Audio Intonation"):
        st.write("Audio Intonation analysis will be implemented here.")
        # Placeholder for audio intonation analysis
        # This would use temp_video_path for analysis

    if st.button("Textual Content"):
        st.write("Textual Content analysis will be implemented here.")
        # Placeholder for textual content analysis
        # This would use temp_video_path for analysis