Create app.py

app.py

@@ -0,0 +1,48 @@
+# app.py
+
+import gradio as gr
+import librosa
+import numpy as np
+
+def estimate_genre(filepath):
+    try:
+        y, sr = librosa.load(filepath, duration=30)
+    except Exception as e:
+        return {"Error": f"Failed to load audio: {str(e)}"}
+
+    try:
+        tempo, _ = librosa.beat.beat_track(y, sr=sr)
+        centroid = np.mean(librosa.feature.spectral_centroid(y=y, sr=sr))
+        chroma = librosa.feature.chroma_stft(y=y, sr=sr)
+        chroma_strength = np.mean(np.max(chroma, axis=0))
+    except Exception as e:
+        return {"Error": f"Feature extraction failed: {str(e)}"}
+
+    # Heuristic genre rules
+    if tempo > 140 and centroid > 3000:
+        genre = "Electronic / Dance"
+    elif tempo < 80 and chroma_strength < 0.5:
+        genre = "Classical"
+    elif 90 < tempo < 110:
+        genre = "Hip Hop / R&B"
+    elif 110 <= tempo <= 130:
+        genre = "Pop / Rock"
+    elif tempo > 130 and chroma_strength > 0.6:
+        genre = "Funk / Disco"
+    else:
+        genre = "Other"
+
+    return {
+        "Predicted Genre": genre,
+        "Tempo (BPM)": round(tempo, 1),
+        "Brightness (Centroid)": round(centroid, 1),
+        "Chroma Strength": round(chroma_strength, 3)
+    }
+
+gr.Interface(
+    fn=estimate_genre,
+    inputs=gr.Audio(type="filepath", label="Upload audio file"),
+    outputs=gr.JSON(),
+    title="🎶 Simple Genre Estimator",
+    description="Estimates genre based on tempo, brightness, and harmonic content using librosa."
+).launch()