Update app.py

app.py

@@ -2,20 +2,18 @@ import os
 import shutil
 from huggingface_hub import snapshot_download
 import gradio as gr
-os.chdir(os.path.dirname(os.path.abspath(__file__)))
-from scripts.inference import inference_process
 import argparse
 import uuid
 
-is_shared_ui = True if "fudan-generative-ai/hallo" in os.environ['SPACE_ID'] else False
+# Ensure the current working directory is the script's directory
+os.chdir(os.path.dirname(os.path.abspath(__file__)))
+
+from scripts.inference import inference_process
 
-if(not is_shared_ui):
-    hallo_dir = snapshot_download(repo_id="fudan-generative-ai/hallo", local_dir="pretrained_models")
+# Download the model to the local directory
+hallo_dir = snapshot_download(repo_id="fudan-generative-ai/hallo", local_dir="pretrained_models")
 
 def run_inference(source_image, driving_audio, progress=gr.Progress(track_tqdm=True)):
-    if is_shared_ui:
-        raise gr.Error("This Space only works in duplicated instances")
-        
     unique_id = uuid.uuid4()
     
     args = argparse.Namespace(
@@ -33,7 +31,6 @@ def run_inference(source_image, driving_audio, progress=gr.Progress(track_tqdm=T
     inference_process(args)
     return f'output-{unique_id}.mp4' 
 
-
 css = '''
 div#warning-ready {
     background-color: #ecfdf5;
@@ -72,23 +69,6 @@ div#warning-duplicate .actions a {
 '''
 
 with gr.Blocks(css=css) as demo:
-    if is_shared_ui:
-        top_description = gr.HTML(f'''
-            <div class="gr-prose">
-                <h2 class="custom-color"><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
-                Attention: this Space need to be duplicated to work</h2>
-                <p class="main-message custom-color">
-                    To make it work, <strong>duplicate the Space</strong> and run it on your own profile using a <strong>private</strong> GPU.<br />
-                    An L4 costs <strong>US$0.80/h</strong>
-                </p>
-                <p class="actions custom-color">
-                    <a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}?duplicate=true">
-                        <img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-lg-dark.svg" alt="Duplicate this Space" />
-                    </a>
-                    to start generate your talking head
-                </p>
-            </div>
-        ''', elem_id="warning-duplicate")
     gr.Markdown("# Demo for Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation")
     gr.Markdown("Generate talking head avatars driven from audio. **5 seconds of audio takes >10 minutes to generate on an L4** - duplicate the space for private use or try for free on Google Colab")
     with gr.Row():
@@ -105,4 +85,4 @@ with gr.Blocks(css=css) as demo:
         outputs=output_video
     )
     
-demo.launch()
+demo.launch()