Create app.py

app.py

@@ -0,0 +1,45 @@
+import os
+import requests
+import gradio as gr
+from huggingface_hub import Repository
+
+REPO_ID = "AthuKawaleLogituit/Faceswap"
+LOCAL_DIR = "models"
+
+urls = [
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/inswapper_128.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/reswapper_128.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/reswapper_256.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/GFPGANv1.4.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/GPEN-BFR-512.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/restoreformer_plus_plus.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/xseg.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/rd64-uni-refined.pth",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/CodeFormerv0.1.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/deoldify_artistic.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/deoldify_stable.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/isnet-general-use.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/real_esrgan_x4.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/real_esrgan_x2.onnx",
+    "https://huggingface.co/countfloyd/deepfake/resolve/main/lsdir_x4.onnx"
+]
+
+def download_and_upload():
+    os.makedirs(LOCAL_DIR, exist_ok=True)
+
+    for url in urls:
+        filename = os.path.join(LOCAL_DIR, os.path.basename(url))
+        if not os.path.exists(filename):
+            r = requests.get(url, allow_redirects=True)
+            with open(filename, 'wb') as f:
+                f.write(r.content)
+
+    token = os.environ.get("HF_TOKEN")
+    repo = Repository(local_dir=LOCAL_DIR, clone_from=REPO_ID, use_auth_token=token)    
+    repo.git_add()
+    repo.git_commit("Upload model files from Gradio Space")
+    repo.git_push()
+
+    return "✅ Models downloaded and pushed to Faceswap repo."
+
+gr.Interface(fn=download_and_upload, inputs=[], outputs="text", title="Upload Faceswap Models").launch()