Create app.py

app.py

@@ -0,0 +1,47 @@
+from pathlib import Path
+import json
+import gradio as gr
+
+from runner import process_video
+from config import FRAME_INTERVAL_SEC, MAX_FRAMES
+
+def run_pipeline(video_file, interval, max_frames):
+    if video_file is None:
+        return None, "No file", {}, []
+    src = Path(video_file)
+    zip_path = process_video(src, interval_sec=interval, max_frames=max_frames)
+
+    # Build previews
+    out_root = Path("out") / src.stem
+    trans_path = out_root / "transcription.txt"
+    exp_path = out_root / "explanations.json"
+    frames_dir = out_root / "frames"
+
+    transcript_snippet = (trans_path.read_text(encoding="utf-8")[:1000] + "…") if trans_path.exists() else ""
+    explanations = json.loads(exp_path.read_text(encoding="utf-8")) if exp_path.exists() else {}
+    first_items = dict(list(explanations.items())[:5])
+
+    # gallery preview (up to 8)
+    previews = [str(p) for p in sorted(frames_dir.glob("*.jpg"))[:8]]
+
+    return str(zip_path), transcript_snippet, first_items, previews
+
+with gr.Blocks(title="Video → ZIP Caption Prep") as demo:
+    gr.Markdown("## Video → ZIP Caption Prep")
+
+    with gr.Row():
+        video = gr.Video(label="Upload video", sources=["upload"], interactive=True)
+        with gr.Column():
+            interval = gr.Number(value=FRAME_INTERVAL_SEC, label="Frame interval (sec)", precision=1)
+            max_frames = gr.Number(value=MAX_FRAMES, label="Max frames", precision=0)
+            run_btn = gr.Button("Process", variant="primary")
+
+    zip_out = gr.File(label="Download ZIP")
+    transcript_box = gr.Textbox(label="Transcription snippet", lines=8)
+    json_preview = gr.JSON(label="First 5 frame captions")
+    gallery = gr.Gallery(label="Frame preview", columns=4, height=300)
+
+    run_btn.click(run_pipeline, inputs=[video, interval, max_frames], outputs=[zip_out, transcript_box, json_preview, gallery])
+
+if __name__ == "__main__":
+    demo.launch()