Delete app.py

app.py

@@ -1,125 +0,0 @@
-import os
-import gradio as gr
-from src.gradio_demo import SadTalker
-
-try:
-    import webui  # in webui
-    IN_WEBUi = True
-except ImportError:
-    IN_WEBUi = False
-
-def toggle_audio_file(choice):
-    if not choice:
-        return gr.update("visible", True), gr.update("visible", False)
-    else:
-        return gr.update("visible", False), gr.update("visible", True)
-
-def ref_video_fn(path_of_ref_video):
-    if path_of_ref_video:
-        return gr.update("value", True)
-    else:
-        return gr.update("value", False)
-
-def sadtalker_demo(checkpoint_path="checkpoints", config_path="src/config", warpfn=None):
-    sad_talker = SadTalker(checkpoint_path, config_path, lazy_load=True)
-
-    with gr.Blocks(analytics_enabled=False) as sadtalker_interface:
-        gr.markdown("<div align='center'> <h2> 😭 SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (CVPR 2023) </span> \
-                    <a style='font-size:18px;color: #efefef' href='https://arxiv.org/abs/2211.12194'>Arxiv</a> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; \
-                    <a style='font-size:18px;color: #efefef' href='https://sadtalker.github.io'>Homepage</a>  &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; \
-                     <a style='font-size:18px;color: #efefef' href='https://github.com/Winfredy/SadTalker'> Github </div>")
-
-        with gr.Row(style="equal_height: False"):
-            with gr.Column(variant="panel"):
-                with gr.Tabs(elem_id="sadtalker_source_image"):
-                    with gr.TabItem("Upload image"):
-                        with gr.Row():
-                            source_image = gr.Image(label="Source image", source="upload", type="filepath", elem_id="img2img_image", style="width: 512px")
-
-            with gr.Tabs(elem_id="sadtalker_driven_audio"):
-                with gr.TabItem("Upload OR TTS"):
-                    with gr.Column(variant="panel"):
-                        driven_audio = gr.Audio(label="Input audio", source="upload", type="filepath")
-
-                if sys.platform != "win32" and not IN_WEBUi:
-                    from src.utils.text2speech import TTSTalker
-
-                    tts_talker = TTSTalker()
-                    with gr.Column(variant="panel"):
-                        input_text = gr.Textbox(
-                            label="Generating audio from text",
-                            lines=5,
-                            placeholder="Enter text for audio generation using @Coqui.ai TTS.",
-                        )
-                        tts = gr.Button("Generate audio", elem_id="sadtalker_audio_generate", variant="primary")
-                        tts.click(tts_talker.test, [input_text], [driven_audio])
-
-            with gr.Column(variant="panel"):
-                with gr.Tabs(elem_id="sadtalker_checkbox"):
-                    with gr.TabItem("Settings"):
-                        gr.markdown(
-                            "Need help? Visit our [best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md) for details."
-                        )
-                        with gr.Column(variant="panel"):
-                            # width = gr.Slider(
-                            #     minimum=64,
-                            #     elem_id="img2img_width",
-                            #     maximum=2048,
-                            #     step=8,
-                            #     label="Manually Crop Width",
-                            #     value=512,
-                            # )  # img2img_width
-                            # height = gr.Slider(
-                            #     minimum=64,
-                            #     elem_id="img2img_height",
-                            #     maximum=2048,
-                            #     step=8,
-                            #     label="Manually Crop Height",
-                            #     value=512,
-                            # )  # img2img_width
-                            pose_style = gr.Slider(
-                                minimum=0, maximum=46, step=1, label="Pose style", value=0
-                            )
-                            size_of_image = gr.Radio(
-                                [256, 512],
-                                value=256,
-                                label="face model resolution",
-                                info="Use 256/512 model?",
-                            )
-                            preprocess_type = gr.Radio(
-                                ["crop", "resize", "full", "extcrop", "extfull"],
-                                value="crop",
-                                label="preprocess",
-                                info="How to handle input image?",
-                            )
-                            is_still_mode = gr.Checkbox(
-                                label="Still Mode (fewer head motion, works with preprocess `full`)"
-                            )
-                            batch_size = gr.Slider(
-                                label="batch size in generation", step=1, maximum=10, value=2
-                            )
-                            enhancer = gr.Checkbox(label="GFPGAN as Face enhancer")
-                            submit = gr.Button("Generate", elem_id="sadtalker_generate", variant="primary")
-
-            with gr.Tabs(elem_id="sadtalker_genearted"):
-                gen_video = gr.Video(label="Generated video", format="mp4", style="width: 256px")
-
-        if warpfn:
-            submit.click(
-                warpfn(sad_talker.test),
-                [source_image, driven_audio, preprocess_type, is_still_mode, enhancer, batch_size, size_of_image, pose_style],
-                [gen_video],
-            )
-        else:
-            submit.click(
-                sad_talker.test,
-                [source_image, driven_audio, preprocess_type, is_still_mode, enhancer, batch_size, size_of_image, pose_style],
-                [gen_video],
-            )
-
-    return sadtalker_interface
-
-if __name__ == "__main__":
-    demo = sadtalker_demo()
-    demo.queue()
-    demo.launch()