Update app.py

app.py

@@ -1,223 +1,73 @@
-import os, sys
-import tempfile
+import os
 import gradio as gr
-from src.gradio_demo import SadTalker  
-# from src.utils.text2speech import TTSTalker
-from huggingface_hub import snapshot_download
 
-def get_source_image(image):   
-        return image
+# IMPORTANT: SadTalker expects checkpoints in ./checkpoints
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+os.environ["SADTALKER_CHECKPOINTS"] = os.path.join(BASE_DIR, "checkpoints")
 
-try:
-    import webui  # in webui
-    in_webui = True
-except:
-    in_webui = False
+# SadTalker internal gradio demo class (used in vinthony space)
+from src.gradio_demo import SadTalker
 
+def launch_app():
+    # Create SadTalker object
+    sadtalker = SadTalker(checkpoint_path=os.environ["SADTALKER_CHECKPOINTS"])
 
-def toggle_audio_file(choice):
-    if choice == False:
-        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 is not None:
-        return gr.update(value=True)
-    else:
-        return gr.update(value=False)
-    
-def download_model():
-    REPO_ID = 'vinthony/SadTalker-V002rc'
-    snapshot_download(repo_id=REPO_ID, local_dir='./checkpoints', local_dir_use_symlinks=True)
-
-def sadtalker_demo():
-
-    download_model()
-
-    sad_talker = SadTalker(lazy_load=True)
-    # tts_talker = TTSTalker()
-
-    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> </h2> \
-                    <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.Blocks(title="Talking Photo (SadTalker CPU)") as demo:
         gr.Markdown("""
-        <b>You may duplicate the space and upgrade to GPU in settings for better performance and faster inference without waiting in the queue. <a style='display:inline-block' href="https://huggingface.co/spaces/vinthony/SadTalker?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a></b> \
-        <br/><b>Alternatively, try our GitHub <a href=https://github.com/Winfredy/SadTalker> code </a> on your own GPU. </b> <a style='display:inline-block' href="https://github.com/Winfredy/SadTalker"><img src="https://img.shields.io/github/stars/Winfredy/SadTalker?style=social"/></a> \
-        """)
-        
-        with gr.Row(): #.style(equal_height=False):
-            with gr.Column(variant='panel'):
-                with gr.Tabs(elem_id="sadtalker_source_image"):
-                    with gr.TabItem('Source image'):
-                        with gr.Row():
-                            source_image = gr.Image(label="Source image", source="upload", type="filepath", elem_id="img2img_image") # .style(width=512)
-
-
-                with gr.Tabs(elem_id="sadtalker_driven_audio"):
-                    with gr.TabItem('Driving Methods'):
-                        gr.Markdown("Possible driving combinations: <br> 1. Audio only 2. Audio/IDLE Mode + Ref Video(pose, blink, pose+blink) 3. IDLE Mode only 4. Ref Video only (all) ")
-
-                        with gr.Row():
-                            driven_audio = gr.Audio(label="Input audio", source="upload", type="filepath", max_length=180) # 180s
-                            driven_audio_no = gr.Audio(label="Use IDLE mode, no audio is required", source="upload", type="filepath", visible=False)
-
-                            with gr.Column():
-                                use_idle_mode = gr.Checkbox(label="Use Idle Animation")
-                                length_of_audio = gr.Number(value=5, label="The length(seconds) of the generated video.")
-                                use_idle_mode.change(toggle_audio_file, inputs=use_idle_mode, outputs=[driven_audio, driven_audio_no]) # todo
-
-                        with gr.Row():
-                            ref_video = gr.Video(label="Reference Video", source="upload", type="filepath", elem_id="vidref") # .style(width=512)
-
-                            with gr.Column():
-                                use_ref_video = gr.Checkbox(label="Use Reference Video")
-                                ref_info = gr.Radio(['pose', 'blink','pose+blink', 'all'], value='pose', label='Reference Video',info="How to borrow from reference Video?((fully transfer, aka, video driving mode))")
+# 🗣️ Talking Photo Generator (SadTalker)
+Upload face image + audio → video with lip movement.
 
-                            ref_video.change(ref_video_fn, inputs=ref_video, outputs=[use_ref_video]) # todo
-
-
-            with gr.Column(variant='panel'): 
-                with gr.Tabs(elem_id="sadtalker_checkbox"):
-                    with gr.TabItem('Settings'):
-                        gr.Markdown("need help? please visit our [[best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md)] for more detials")
-                        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
-                            with gr.Row():
-                                pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0) #
-                                exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1) # 
-                                blink_every = gr.Checkbox(label="use eye blink", value=True)
-
-                            with gr.Row():
-                                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?")
-                            
-                            with gr.Row():
-                                is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)")
-                                facerender = gr.Radio(['facevid2vid','pirender'], value='facevid2vid', label='facerender', info="which face render?")
-                                
-                            with gr.Row():
-                                batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=1)
-                                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", scale=1) # .style(width=256)
-
-        
-
-        submit.click(
-                fn=sad_talker.test,
-                inputs=[source_image,
-                        driven_audio,
-                        preprocess_type,
-                        is_still_mode,
-                        enhancer,
-                        batch_size,                            
-                        size_of_image,
-                        pose_style,
-                        facerender,
-                        exp_weight,
-                        use_ref_video,
-                        ref_video,
-                        ref_info,
-                        use_idle_mode,
-                        length_of_audio,
-                        blink_every
-                        ], 
-                outputs=[gen_video],
-                )
+⚠️ CPU is slow, test with 5–10 sec audio first.
+""")
 
         with gr.Row():
-            examples = [
-                [
-                    'examples/source_image/full_body_1.png',
-                    'examples/driven_audio/bus_chinese.wav',
-                    'crop',
-                    True,
-                    False
-                ],
-                [
-                    'examples/source_image/full_body_2.png',
-                    'examples/driven_audio/japanese.wav',
-                    'crop',
-                    False,
-                    False
-                ],
-                [
-                    'examples/source_image/full3.png',
-                    'examples/driven_audio/deyu.wav',
-                    'crop',
-                    False,
-                    True
-                ],
-                [
-                    'examples/source_image/full4.jpeg',
-                    'examples/driven_audio/eluosi.wav',
-                    'full',
-                    False,
-                    True
-                ],
-                [
-                    'examples/source_image/full4.jpeg',
-                    'examples/driven_audio/imagine.wav',
-                    'full',
-                    True,
-                    True
-                ],
-                [
-                    'examples/source_image/full_body_1.png',
-                    'examples/driven_audio/bus_chinese.wav',
-                    'full',
-                    True,
-                    False
-                ],
-                [
-                    'examples/source_image/art_13.png',
-                    'examples/driven_audio/fayu.wav',
-                    'resize',
-                    True,
-                    False
-                ],
-                [
-                    'examples/source_image/art_5.png',
-                    'examples/driven_audio/chinese_news.wav',
-                    'resize',
-                    False,
-                    False
-                ],
-                [
-                    'examples/source_image/art_5.png',
-                    'examples/driven_audio/RD_Radio31_000.wav',
-                    'resize',
-                    True,
-                    True
-                ],
-            ]
-            gr.Examples(examples=examples,
-                        inputs=[
-                            source_image,
-                            driven_audio,
-                            preprocess_type,
-                            is_still_mode,
-                            enhancer], 
-                        outputs=[gen_video],
-                        fn=sad_talker.test,
-                        cache_examples=os.getenv('SYSTEM') == 'spaces') # 
-
-    return sadtalker_interface
- 
-
-if __name__ == "__main__":
-
-    demo = sadtalker_demo()
-    demo.queue(max_size=10, api_open=True)
-    demo.launch(debug=True)
-
+            source_image = gr.Image(type="filepath", label="Face Image (jpg/png)")
+            driven_audio = gr.Audio(type="filepath", label="Voice Audio (wav/mp3)")
 
+        with gr.Row():
+            preprocess = gr.Dropdown(
+                choices=["crop", "full"],
+                value="crop",
+                label="Preprocess (CPU recommended: crop)"
+            )
+            size = gr.Dropdown(
+                choices=["256", "512"],
+                value="256",
+                label="Output Size (CPU recommended: 256)"
+            )
+
+        generate_btn = gr.Button("🎬 Generate Video", variant="primary")
+
+        result_video = gr.Video(label="Output Video")
+        logs = gr.Textbox(label="Logs", lines=12)
+
+        def run(image_path, audio_path, preprocess_mode, out_size):
+            if not image_path:
+                raise gr.Error("Upload image first.")
+            if not audio_path:
+                raise gr.Error("Upload audio first.")
+
+            # SadTalker infer (matches internal demo pipeline)
+            # returns: (video_path, log)
+            return sadtalker.test(
+                source_image=image_path,
+                driven_audio=audio_path,
+                preprocess=preprocess_mode,
+                size=int(out_size),
+                still=True,
+                enhancer=None,   # CPU friendly
+                background_enhancer=None
+            )
+
+        generate_btn.click(
+            fn=run,
+            inputs=[source_image, driven_audio, preprocess, size],
+            outputs=[result_video, logs],
+            queue=True
+        )
+
+    return demo
+
+
+demo = launch_app()
+demo.queue(max_size=3).launch(server_name="0.0.0.0", server_port=7860, ssr_mode=False)