Delete app.py

app.py

@@ -1,50 +0,0 @@
-import gradio as gr
-import os 
-import subprocess
-import tempfile
-from glob import glob
-
-def run_inference(image_input, audio_input):
-
-    # Create a temporary folder for downloaded and processed images
-    temp_dir = tempfile.mkdtemp()
-
-    try:
-        # Run the inference command
-        subprocess.run(
-            [
-                "python", "inference.py",
-                "--config", "configs/inference.yaml",
-                "--input_image", image_input,
-                "--input_audio", audio_input,
-                "--output_dir", temp_dir,
-            ],
-            check=True
-        )
-
-        # Collect the output images
-        output_video = glob(os.path.join(temp_dir, "*.mp4"))
-        return output_video[0]
-    except subprocess.CalledProcessError as e:
-        raise gr.Error(f"Error during inference: {str(e)}")
-
-
-
-with gr.Blocks() as demo:
-    with gr.Column():
-        gr.Markdown("# MEMO")
-        with gr.Row():
-            with gr.Column():
-                image_input = gr.Image(label="Image Input", type="filepath")
-                audio_input = gr.Audio(label="Audio Input", type="filepath")
-                submit_btn = gr.Button("Submit")
-            with gr.Column():
-                output_result = gr.Video(label="Result")
-
-    submit_btn.click(
-        fn =run_inference,
-        inputs =[image_input, audio_input],
-        outputs = [output_result]
-    )
-
-demo.queue().launch()