Update app.py

app.py

@@ -2,30 +2,9 @@ import gradio as gr
 from refacer import Refacer
 import argparse
 import os
-import requests
-import tempfile
-import shutil
 
-# Hugging Face URL to download the model
-model_url = "https://huggingface.co/ofter/4x-UltraSharp/resolve/main/inswapper_128.onnx"
-model_path = "./inswapper_128.onnx"
-
-# Function to download the model
-def download_model():
-    if not os.path.exists(model_path):
-        print("Downloading inswapper_128.onnx...")
-        response = requests.get(model_url)
-        if response.status_code == 200:
-            with open(model_path, 'wb') as f:
-                f.write(response.content)
-            print("Model downloaded successfully!")
-        else:
-            raise Exception(f"Failed to download the model. Status code: {response.status_code}")
-    else:
-        print("Model already exists.")
-
-# Download the model when the script runs
-download_model()
+# Hugging Face Space-இல் model path
+model_path = "./models/inswapper_128.onnx"
 
 # Argument parser
 parser = argparse.ArgumentParser(description='Refacer')
@@ -62,7 +41,7 @@ def run(*vars):
     refaced_video_path = refacer.reface(video_path, faces)  # refaced video path
     print(f"Refaced video can be found at {refaced_video_path}")
 
-    # Directly return the path to the Gradio UI without using ffmpeg or temp files
+    # Instead of saving to disk, return the path to Gradio UI directly
     return refaced_video_path  # Gradio will handle the video display
 
 # Prepare Gradio components