Gradio bug workaround

app.py

@@ -19,6 +19,17 @@ import cfg
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
+# Gradio 5.49 bug: monitoring/summary serialises function stats with integer keys,
+# which orjson rejects. Patch _render to allow non-string keys.
+import orjson
+import gradio.routes as _gr_routes
+
+@staticmethod
+def _patched_render(content):
+    return orjson.dumps(content, option=orjson.OPT_NON_STR_KEYS | orjson.OPT_SERIALIZE_NUMPY)
+
+_gr_routes.ORJSONResponse._render = _patched_render
+
 # Load models and data
 logging.info("Loading models and data...")
 all_labels = pd.read_csv(cfg.LABELS_LOCATION)
@@ -139,9 +150,11 @@ def analyze_chord_sequence_text(chord_text: str) -> tuple[Optional[float], Optio
         return None, None
 
 def _format_chord_analysis_for_ui(chord_text):
+    yield "⏳ Analysing...", ""
     score, neighbours = analyze_chord_sequence_text(chord_text)
     if score is None:
-        return "Please enter some chords!", ""
+        yield "Please enter some chords!", ""
+        return
     scores_text = f"**Originality Score:** {score:.4f}"
     neighbours_text = "**Similar Songs:**\n"
     if neighbours:
@@ -152,7 +165,7 @@ def _format_chord_analysis_for_ui(chord_text):
             neighbours_text += f"{i}. {title} by {artist} (similarity: {similarity:.3f})\n"
     else:
         neighbours_text += "No similar songs found."
-    return scores_text, neighbours_text
+    yield scores_text, neighbours_text
 
 
 def analyze_music_file(audio_file: str) -> tuple[str, float, list[dict]]:
@@ -169,9 +182,11 @@ def analyze_music_file(audio_file: str) -> tuple[str, float, list[dict]]:
         return None, None, None
 
 def _format_music_analysis_for_ui(audio_file):
+    yield "", "⏳ Analysing...", ""
     file_info, score, neighbours = analyze_music_file(audio_file)
     if score is None:
-        return "Please upload a music file!", "", ""
+        yield "Please upload a music file!", "", ""
+        return
     scores_text = f"**Originality Score:** {score:.4f}"
     neighbours_text = "**Similar Songs:**\n"
     if neighbours:
@@ -183,7 +198,7 @@ def _format_music_analysis_for_ui(audio_file):
     else:
         neighbours_text += "No similar songs found."
     file_info_text = f"**File analyzed:** {file_info}" if file_info else ""
-    return file_info_text, scores_text, neighbours_text
+    yield file_info_text, scores_text, neighbours_text
 
 _preamble = (
     "Enter chords separated by commas or spaces. "
@@ -237,9 +252,9 @@ with gr.Blocks(title="Harmonic Analysis Tool", theme=gr.themes.Soft()) as app:
             
             with gr.Row():
                 with gr.Column(scale=1):
-                    audio_input = gr.Audio(
+                    audio_input = gr.File(
                         label="Upload Audio File",
-                        type="filepath"
+                        file_types=["audio", ".mid", ".midi"],
                     )
                     upload_btn = gr.Button("Analyze Audio", variant="primary")
                 

src/neighbours.py

@@ -45,15 +45,20 @@ class EmbeddingClosestNeighbours:
             sorted_labels = labels[sorted_indices]
             sorted_distances = distances[sorted_indices]
             sorted_lengths = lengths[sorted_indices]
-            neighbours = [
-                Neighbour(
+            seen_songs = set()
+            neighbours = []
+            for j in range(len(sorted_labels)):
+                meta = self._metadata.loc[sorted_labels[j]].to_dict()
+                key = (meta.get('title'), meta.get('artist'))
+                if key in seen_songs:
+                    continue
+                seen_songs.add(key)
+                neighbours.append(Neighbour(
                     distance=float(sorted_distances[j]),
                     label=sorted_labels[j],
                     length=int(sorted_lengths[j]),
-                    metadata=self._metadata.loc[sorted_labels[j]].to_dict()
-                )
-                for j in range(len(sorted_labels))
-            ]
+                    metadata=meta,
+                ))
             if limit is not None:
                 neighbours = neighbours[:limit]
             all_neighbours.append(neighbours)