app.py

import streamlit as st
from streamlit_player import st_player

# Set the title and description
st.title('Evolving Zero Shot Classification Multimodal Agentic AI')
st.write('Created with DeepSeek-V3-Base') 
st.write('Images spawned (created) via: prithivMLmods/FLUX-LoRA-DLC | prithivMLmods/Fashion-Hut-Modeling-LoRA | Purz/neon-sign')
st.write('Prediction probabilities are deriving from: Zero Shot Image Classification')
st.write('Enhanced Goal Oriented Autonomy')
st.write('Additional Multimodal Agentic AI Layer of User interaction deriving from a non-organic algorithm (Agentic AI).')
st.write('Implements Natural Language Stopping (complete thoughts | sentences) (LLM Output)')
st.write('Responses are deriving from the mlx-community/Qwen2.5-7B-4bit LLM')
# 
# Display images and play videos in the specified order

video_file = open('classification_output.mp4', 'rb')
video_bytes = video_file.read()
st.video(video_bytes)

video_file = open('follow_up_output.mp4', 'rb')
video_bytes = video_file.read()
st.video(video_bytes)

video_file = open('response_output.mp4', 'rb')
video_bytes = video_file.read()
st.video(video_bytes)

video_file = open('classification_output_2.mp4', 'rb')
video_bytes = video_file.read()
st.video(video_bytes)

video_file = open('follow_up_output_2.mp4', 'rb')
video_bytes = video_file.read()
st.video(video_bytes)

video_file = open('response_output_2.mp4', 'rb')
video_bytes = video_file.read()
st.video(video_bytes)