Delete appSmall.py

appSmall.py

@@ -1,50 +0,0 @@
-import gradio as gr
-from pathlib import Path
-import subprocess
-from inference_img import *  # Assuming necessary functions are exposed here
-
-# Constants
-OUTPUT_GIF = Path("demo/output.gif")
-FRAME1_PATH = Path("demo/frame1.png")
-FRAME2_PATH = Path("demo/frame2.png")
-
-# Function to generate GIF
-def generate_demo_gif(_1, _2):
-    try:
-        result = subprocess.run([
-            "python", "inference_img.py",
-            "--img", str(FRAME1_PATH), str(FRAME2_PATH),
-            "--exp=4",
-            "--model", "train_log/"
-        ], capture_output=True, text=True)
-
-        print("STDOUT:", result.stdout)
-        print("STDERR:", result.stderr)
-
-        if result.returncode == 0 and OUTPUT_GIF.exists():
-            return str(OUTPUT_GIF), "✅ GIF generated successfully!"
-        else:
-            return None, "❌ GIF generation failed. Check logs or file paths."
-
-    except Exception as e:
-        print(f"Error: {e}")
-        return None, f"❌ Subprocess error: {e}"
-
-# Gradio UI
-with gr.Blocks() as demo_ui:
-    with gr.Tab("Demo"):
-        gr.Markdown("### Preview frames and generate animation. #FREE CPU cut off, 5.5 seconds and done. No AI democracy.")
-        with gr.Row():
-            img1_preview = gr.Image(value=str(FRAME1_PATH), label="Frame 1", interactive=False)
-            img2_preview = gr.Image(value=str(FRAME2_PATH), label="Frame 2", interactive=False)
-        generate_btn = gr.Button("Generate GIF")
-        output_gif = gr.Image(label="Animated GIF")
-        status_msg = gr.Markdown()
-
-        generate_btn.click(
-            fn=generate_demo_gif,
-            inputs=[img1_preview, img2_preview],  # Non-interactive but passed to match fn signature
-            outputs=[output_gif, status_msg]
-        )
-
-demo_ui.launch()