Update app.py
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app.py
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from pathlib import Path
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import json
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import gradio as gr
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from runner import process_video
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from config import FRAME_INTERVAL_SEC, MAX_FRAMES
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def run_pipeline(video_file, interval, max_frames):
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if video_file is None:
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return None, "No file", {}, []
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src = Path(video_file)
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zip_path = process_video(src, interval_sec=interval, max_frames=max_frames)
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first_items = dict(list(explanations.items())[:5])
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# gallery preview (up to 8)
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previews = [str(p) for p in sorted(frames_dir.glob("*.jpg"))[:8]]
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with gr.Blocks(title="Video → ZIP Caption Prep") as demo:
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with gr.Row():
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video = gr.Video(label="Upload video", sources=["upload"], interactive=True)
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with gr.Column():
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interval = gr.Number(value=FRAME_INTERVAL_SEC, label="Frame interval (sec)", precision=1)
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max_frames = gr.Number(value=MAX_FRAMES, label="Max frames", precision=0)
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run_btn = gr.Button("Process", variant="primary")
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run_btn.click(run_pipeline, inputs=[video, interval, max_frames], outputs=[zip_out, transcript_box, json_preview, gallery])
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if __name__ == "__main__":
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# app.py (updated)
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from pathlib import Path
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import json
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import gradio as gr
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from runner import process_video
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from config import FRAME_INTERVAL_SEC, MAX_FRAMES
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def run_pipeline(video_file, interval, max_frames, movie_title, movie_year):
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if video_file is None:
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return None, "No file", {}, []
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src = Path(video_file)
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zip_path = process_video(
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src,
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interval_sec=interval,
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max_frames=max_frames,
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movie_title=(movie_title or "").strip(),
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movie_year=(movie_year or "").strip(),
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)
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# Build previews
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out_root = Path("out") / src.stem
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trans_path = out_root / "transcription.txt"
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exp_path = out_root / "explanations.json"
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frames_dir = out_root / "frames"
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transcript_snippet = (trans_path.read_text(encoding="utf-8")[:1000] + "…") if trans_path.exists() else ""
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explanations = json.loads(exp_path.read_text(encoding="utf-8")) if exp_path.exists() else {}
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# Show up to first 5 items for preview
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try:
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first_items = dict(list(explanations.items())[:5])
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except Exception:
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first_items = explanations
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# gallery preview (up to 8)
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previews = [str(p) for p in sorted(frames_dir.glob("*.jpg"))[:8]]
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return str(zip_path), transcript_snippet, first_items, previews
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with gr.Blocks(title="Video → ZIP Caption Prep") as demo:
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gr.Markdown("## Video → ZIP Caption Prep")
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with gr.Row():
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video = gr.Video(label="Upload video", sources=["upload"], interactive=True)
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with gr.Column():
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interval = gr.Number(value=FRAME_INTERVAL_SEC, label="Frame interval (sec)", precision=1)
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max_frames = gr.Number(value=MAX_FRAMES, label="Max frames", precision=0)
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movie_title = gr.Textbox(label="Movie title (optional)", placeholder="Peacemaker")
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movie_year = gr.Textbox(label="Year (optional)", placeholder="2022")
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run_btn = gr.Button("Process", variant="primary")
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zip_out = gr.File(label="Download ZIP")
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transcript_box = gr.Textbox(label="Transcription snippet", lines=8)
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json_preview = gr.JSON(label="First 5 frame captions")
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gallery = gr.Gallery(label="Frame preview", columns=4, height=300)
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run_btn.click(
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run_pipeline,
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inputs=[video, interval, max_frames, movie_title, movie_year],
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outputs=[zip_out, transcript_box, json_preview, gallery],
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)
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if __name__ == "__main__":
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demo.launch()
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