Update app.py

app.py

@@ -31,7 +31,7 @@ def identify_audio(file):
     # Process audio in 10-second chunks
     for i in range(0, duration_ms // 1000, 10):
         res = acr.recognize_by_file(file_path, i, 10)
-        results.append(f"Time {i}s: {res.strip()}")
+        results.append(f"**Time {i}s:** {res.strip()}")
 
     # Full recognition result
     full_result = acr.recognize_by_file(file_path, 0)
@@ -47,7 +47,10 @@ def identify_audio(file):
         album = music_data.get('album', {}).get('name', 'Unknown Album')
         release_date = music_data.get('release_date', 'Unknown Release Date')
 
-        full_result_text = f"Title: {title}\nArtists: {artists}\nAlbum: {album}\nRelease Date: {release_date}"
+        full_result_text = f"### **Title**: {title}\n\n" \
+                           f"**Artists**: {artists}\n\n" \
+                           f"**Album**: {album}\n\n" \
+                           f"**Release Date**: {release_date}\n"
     else:
         full_result_text = "No music metadata found in the result."
 
@@ -57,7 +60,7 @@ def identify_audio(file):
         buffer_result = acr.recognize_by_filebuffer(buf, 0)
 
     return {
-        "Partial Results": results,
+        "Partial Results": "\n".join(results),
         "Full Result": full_result_text,
         "Buffer Result": buffer_result
     }
@@ -66,7 +69,7 @@ def identify_audio(file):
 iface = gr.Interface(
     fn=identify_audio,
     inputs=gr.File(label="Upload Audio File"),
-    outputs=gr.JSON(label="Audio Metadata"),
+    outputs=gr.Markdown(label="Audio Metadata"),  # Change output to Markdown
     title="Audio Search by File",
     description="Upload an audio file to identify it using ACRCloud."
 )