app.py

import streamlit as st
import cv2
import tempfile
import os
from PIL import Image

st.set_page_config(page_title="AI Thumbnail Generator", layout="centered")

st.title("🎯 AI-Based Thumbnail Generator")
st.write("Upload a video to extract thumbnail-worthy frames using AI.")

uploaded_video = st.file_uploader("Upload Video File", type=["mp4", "mov", "avi", "mkv", "wmv"])

if uploaded_video is not None:
    st.video(uploaded_video)
    st.success("✅ Video uploaded successfully!")

    # Save the uploaded video to a temp file
    tfile = tempfile.NamedTemporaryFile(delete=False)
    tfile.write(uploaded_video.read())

    # Extract frames using OpenCV
    vidcap = cv2.VideoCapture(tfile.name)
    success, image = vidcap.read()
    count = 0
    thumbnail_frame = None
    while success:
        if count % 60 == 0:  # extract every 2 seconds assuming 30 FPS
            frame_path = f"frame_{count}.jpg"
            cv2.imwrite(frame_path, image)
            thumbnail_frame = frame_path  # keep last extracted frame as mock thumbnail
        success, image = vidcap.read()
        count += 1

    if thumbnail_frame:
        st.subheader("Generated Thumbnail Frame")
        image = Image.open(thumbnail_frame)
        st.image(image, caption="Best Frame", use_column_width=True)

        with open(thumbnail_frame, "rb") as file:
            st.download_button("📥 Download Thumbnail", file, file_name="thumbnail.jpg")