Delete _app.py

_app.py

@@ -1,111 +0,0 @@
-# app.py
-import os
-import uuid
-import subprocess
-from pathlib import Path
-from typing import Tuple
-from inference_img import *
-import gradio as gr
-
-# Demo images
-FRAME1 = Path("demo/frame1.jpg")
-FRAME2 = Path("demo/frame2.jpg")
-DEMO = Path("demo/demo.gif")
-MODEL =  Path("train_log/")
-
-TMP_PREFIX = "demo/"
-TARGET_DIR = f"{TMP_PREFIX}output/"
-EXTENSION = "png"
-
-def interpolate_image(img_a_path: str, img_b_path: str) -> Tuple[str, str]:
-    """
-    3-step pipeline:
-    1) inference_img.py --img <A> <B> --exp=4  -> writes frames as /tmp/gradio/output/img%d.png
-    2) ffmpeg palettegen
-    3) ffmpeg paletteuse -> final GIF at a unique path
-    Returns: (gif_filepath_for_preview, gif_filepath_for_download)
-    """
-    # Ensure temp dirs exist
-    os.makedirs(TARGET_DIR, exist_ok=True)
-
-    # Unique output path per run
-    interpolated_path = f"{TARGET_DIR}{uuid.uuid4()}.{EXTENSION}"
-    palette_path = f"{TMP_PREFIX}palette.png"
-
-    try:
-
-        #inference_img(img=[Path(img_a_path), Path(img_b_path)],exp=4)
-        
-        print("ok")
-
-subprocess.run([
-            "ffmpeg", "-y", "-r", "14", "-f", "image2",
-            "-i", f"{TARGET_DIR}img%d.png",
-            "-vf", "palettegen=stats_mode=single",
-            palette_path
-        ], check=True)
-
-
-
-        
-        # 1) Run interpolation (frames -> TARGET_DIR/img1.png ... imgN.png)
-        #subprocess.run([
-        #        "python3", "inference_img.py",
-        #         "--img", str(img_a_path), str(img_b_path),
-        #         "--exp", "4"
-        #], check=True)
-
-        print("ok")
-        # 2) Generate palette
-        subprocess.run([
-            "ffmpeg", "-y", "-r", "14", "-f", "image2",
-            "-i", f"{TARGET_DIR}img%d.png",
-            "-vf", "palettegen=stats_mode=single",
-            palette_path
-        ], check=True)
-
-        # 3) Use palette to produce final GIF
-        #!ffmpeg -r 14 -f image2 -i output/img%d.png -vf "palettegen=stats_mode=single" palette.png
-        subprocess.run([
-            "ffmpeg", "-y", "-r", "14", "-f",
-            "-i", f"{TARGET_DIR}img%d.png",
-            "palettegen=stats_mode=single",
-            palette_path
-        ], check=True)
-
-        return interpolated_image, interpolated_path
-
-    except subprocess.CalledProcessError as e:
-        raise gr.Error(f"Interpolation failed. {e}")
-
-# Gradio UI
-with gr.Blocks(title="RIFE Interpolation") as demo:
-    with gr.Tab("Demo"):
-        gr.Markdown("### Demo: Preloaded images")
-        input_imageA = gr.Image(type="filepath", value=str(FRAME1), label="Image A")
-        input_imageB = gr.Image(type="filepath", value=str(FRAME2), label="Image B")
-        output_image = gr.Image(type="filepath", value=str(DEMO), label="Demo")
-        g_btn = gr.Button("Interpolate")
-
-        output_image = gr.Image(type="filepath", label="Interpolated GIF")
-        enhance_image_path = gr.Textbox(label="Output path", interactive=False)
-
-        g_btn.click(
-            fn=interpolate_image,
-            inputs=[input_imageA, input_imageB]
-        )
-
-    with gr.Tab("Upload your images"):
-        gr.Markdown("### Upload any two images")
-        input_imageA = gr.Image(type="filepath", label="Image A")
-        input_imageB = gr.Image(type="filepath", label="Image B")
-        user_btn = gr.Button("Interpolate")
-        user_out = gr.Image(type="filepath", value=str(TARGET_DIR), label="Interpolated GIF")
-        user_path = gr.Textbox(label="Output path", value=str(TARGET_DIR), interactive=False)
-        user_btn.click(
-            fn=interpolate_image,
-            inputs=[input_imageA, input_imageB],
-            outputs=[user_out, user_path],
-        )
-
-demo.launch()