Update app.py

app.py

@@ -46,19 +46,14 @@ hf_hub_download(repo_id="vladmandic/insightface-faceanalysis", filename="buffalo
 
 def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any:
     """Returns the value at the given index of a sequence or mapping.
-
     If the object is a sequence (like list or string), returns the value at the given index.
     If the object is a mapping (like a dictionary), returns the value at the index-th key.
-
     Some return a dictionary, in these cases, we look for the "results" key
-
     Args:
         obj (Union[Sequence, Mapping]): The object to retrieve the value from.
         index (int): The index of the value to retrieve.
-
     Returns:
         Any: The value at the given index.
-
     Raises:
         IndexError: If the index is out of bounds for the object and the object is not a mapping.
     """
@@ -130,7 +125,6 @@ add_extra_model_paths()
 
 def import_custom_nodes() -> None:
     """Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS
-
     This function sets up a new asyncio event loop, initializes the PromptServer,
     creates a PromptQueue, and initializes the custom nodes.
     """
@@ -258,7 +252,7 @@ if __name__ == "__main__":
 
                     # Вторая группа (обратите внимание — она должна быть на том же уровне, что и первая)
                     with gr.Group():
-                        input_video = gr.File(label="Target Video (Body)",type="filepath")
+                        input_video = gr.File(label="Target Video (Body)",file_types=[".mp4", ".gif"],type="filepath")
                         select_every_nth = gr.Dropdown(choices=[1, 2], value=1, label='"1" = choose every frame, "2" - every second frame')
                         loop_count = gr.Dropdown(choices=[0, 1, 2, 3, 4], value=0, label='"Loop_Count" = repeat loop append to your video')
                         pingpong_checkbox = gr.Checkbox(label='"Pingpong" = reverse append to your video', value=False)
@@ -279,11 +273,8 @@ if __name__ == "__main__":
                 ***Hyperswap_1b_256.onnx is the best (in most cases) - but model has inner bug - sometimes they produce "FAIL" swap (working, but do not do any swapping - on SOME faces. So, for stability - do test image to image face swap on one screenshot from your video first). Most stable version is Hyperswap_1a_256.onnx.
                 
                 ***Target_Face_Index: Index_0 = First Face. To switch for another target face - switch to Index_1, Index_2, e.t.c.
-
                 ***Note: "1" or "2" - 'every frame' or 'every second frame' - if you have video 60fps or 48 fps - you can choose "2" to select every 2nd frame - for two time reduce total number of frames in video (got 30 fps and 24 fps video, accordingly).
-
                 ***Video 05 sec * 24 fps = 120 frames/720p = takes 275 sec (4.5 min) for generating. Overall: SECONDS --> MINUTES.
-
                 ***To cancel job - just close your browser's page.
                 
                 ***If needed, use AdvancedLivePortrait to correct faces on video before swapping. Here is [workflow](https://openart.ai/workflows/ocelot_vibrant_0/advanced-liveportrait-for-video-as-source/hV07PExjpK3JEd6kNnkr) for ComfyUI.
@@ -306,4 +297,4 @@ if __name__ == "__main__":
                 outputs=[output_video]
             )
 
-    app.launch(server_name="0.0.0.0",server_port=7860,ssr_mode=False)	
+    app.launch(server_name="0.0.0.0",server_port=7860,ssr_mode=False)