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: green
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.28.0
+sdk_version: 6.24.0
 python_version: '3.10'
 app_file: app.py
 pinned: false

app.py

@@ -8,7 +8,7 @@ import soundfile as sf
 import librosa
 import torch
 
-from pyharp import ModelCard, build_endpoint
+from pyharp import ModelCard, build_endpoint, Subcategory
 from df import enhance, init_df
 
 # -----------------------------
@@ -21,7 +21,7 @@ model_card = ModelCard(
         "Input is converted to mono 48kHz. Slider controls strength through wet/dry blend."
     ),
     author="Derek Llanes",
-    tags=["denoise", "speech enhancement", "deepfilternet", "v3"],
+    tags=[Subcategory.DENOISING, 'denoise', 'speech enhancement', 'deepfilternet', 'v3'],
 )
 
 # -----------------------------
@@ -107,29 +107,30 @@ def process_fn(input_audio_path: str, noise_atten_db: float) -> str:
 # -----------------------------
 # Gradio endpoint
 # -----------------------------
-with gr.Blocks() as demo:
-    input_components = [
-        gr.Audio(type="filepath", label="Input Audio").harp_required(True),
-        gr.Slider(
-            minimum=0,
-            maximum=30,
-            step=1,
-            value=12,
-            label="Noise Attenuation (dB)",
-            info="0 = no change, 30 = strongest. Implemented as wet/dry strength.",
-        ),
-    ]
-
-    output_components = [
-        gr.Audio(type="filepath", label="Output Audio")
-        .set_info("Denoised audio output."),
-    ]
-
-    app = build_endpoint(
-        model_card=model_card,
-        input_components=input_components,
-        output_components=output_components,
-        process_fn=process_fn,
-    )
-
-demo.queue().launch(show_error=False, pwa=True)
+if __name__ == "__main__":
+    with gr.Blocks() as demo:
+        input_components = [
+            gr.Audio(type="filepath", label="Input Audio").harp_required(True),
+            gr.Slider(
+                minimum=0,
+                maximum=30,
+                step=1,
+                value=12,
+                label="Noise Attenuation (dB)",
+                info="0 = no change, 30 = strongest. Implemented as wet/dry strength.",
+            ),
+        ]
+
+        output_components = [
+            gr.Audio(type="filepath", label="Output Audio")
+            .set_info("Denoised audio output."),
+        ]
+
+        app = build_endpoint(
+            model_card=model_card,
+            input_components=input_components,
+            output_components=output_components,
+            process_fn=process_fn,
+        )
+
+    demo.queue().launch(share=True, show_error=True, pwa=True)

requirements.txt

@@ -4,4 +4,5 @@ torchaudio==2.2.2
 numpy==1.26.4
 soundfile==0.13.1
 librosa==0.11.0
-git+https://github.com/TEAMuP-dev/pyharp.git@v0.3.0
+git+https://github.com/TEAMuP-dev/pyharp.git@v0.4.0
+spaces>=0.51.1