Bring the Space up to the pyharp example standard (taxonomy tags, __main__ guard, show_error, v0.4.0)

README.md

@@ -4,7 +4,7 @@ emoji: 🎛️
 colorFrom: gray
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.28.0
+sdk_version: 6.24.0
 python_version: '3.12'
 app_file: app.py
 pinned: false

app.py

@@ -21,7 +21,7 @@ except ImportError:
                     return self.func(*args, **kwargs)
                 return args[0]
 
-from pyharp import ModelCard, build_endpoint
+from pyharp import ModelCard, build_endpoint, Subcategory
 
 from deepafx_st_runtime import style_transfer
 
@@ -36,13 +36,7 @@ model_card = ModelCard(
         "of a reference recording onto your audio."
     ),
     author="Adobe Research",
-    tags=[
-        "audio-effects",
-        "style-transfer",
-        "mixing",
-        "mastering",
-        "production",
-    ],
+    tags=[Subcategory.MIXING_STYLE_TRANSFER, 'audio-effects', 'style-transfer', 'mixing', 'mastering', 'production'],
 )
 
 
@@ -97,31 +91,31 @@ def process_fn(
     return str(audio_path), str(params_path)
 
 
-with gr.Blocks(title="DeepAFx-ST") as demo:
-    input_components = [
-        gr.Audio(type="filepath", label="Input Audio")
-        .harp_required(True)
-        .set_info("Audio to process, 1 to 30 seconds."),
-        gr.Audio(type="filepath", label="Reference Audio")
-        .harp_required(True)
-        .set_info("Target style — your input will be EQ'd and compressed to match this recording."),
-    ]
-    output_components = [
-        gr.Audio(type="filepath", label="Styled Output")
-        .set_info("Processed audio with the reference's production style."),
-        gr.File(
-            type="filepath",
-            file_types=[".json"],
-            label="DSP Parameters",
-        ).set_info("Predicted EQ and compressor parameters."),
-    ]
-    build_endpoint(
-        model_card=model_card,
-        input_components=input_components,
-        output_components=output_components,
-        process_fn=process_fn,
-    )
+if __name__ == "__main__":
+    with gr.Blocks(title="DeepAFx-ST") as demo:
+        input_components = [
+            gr.Audio(type="filepath", label="Input Audio")
+            .harp_required(True)
+            .set_info("Audio to process, 1 to 30 seconds."),
+            gr.Audio(type="filepath", label="Reference Audio")
+            .harp_required(True)
+            .set_info("Target style — your input will be EQ'd and compressed to match this recording."),
+        ]
+        output_components = [
+            gr.Audio(type="filepath", label="Styled Output")
+            .set_info("Processed audio with the reference's production style."),
+            gr.File(
+                type="filepath",
+                file_types=[".json"],
+                label="DSP Parameters",
+            ).set_info("Predicted EQ and compressor parameters."),
+        ]
+        build_endpoint(
+            model_card=model_card,
+            input_components=input_components,
+            output_components=output_components,
+            process_fn=process_fn,
+        )
 
 
-if __name__ == "__main__":
-    demo.queue(default_concurrency_limit=1).launch(show_error=True, pwa=True)
+    demo.queue(default_concurrency_limit=1).launch(share=True, show_error=True, pwa=True)

requirements.txt

@@ -1,4 +1,3 @@
-gradio==5.28.0
 torch==2.8.0
 torchaudio==2.8.0
 lightning==2.6.1
@@ -6,7 +5,8 @@ auraloss>=0.2.1
 julius>=0.2.6
 pyloudnorm>=0.1.0
 soundfile>=0.12.1,<1
-huggingface-hub>=0.33,<1
+huggingface-hub
 numpy==1.26.4
 scipy>=1.10,<1.18
-git+https://github.com/TEAMuP-dev/pyharp.git@d65c4f7
+git+https://github.com/TEAMuP-dev/pyharp.git@v0.4.0
+spaces>=0.51.1