Update app.py

app.py

@@ -1,12 +1,14 @@
 import gradio as gr
 import os
-import json
 from acrcloud.recognizer import ACRCloudRecognizer
+import tempfile
+import shutil
+import json
 
 # Retrieve ACRCloud credentials from environment variables
 acr_access_key = os.environ.get('ACR_ACCESS_KEY')
 acr_access_secret = os.environ.get('ACR_ACCESS_SECRET')
-acr_host = 'identify-ap-southeast-1.acrcloud.com'  # Default host, can be adjusted
+acr_host = 'identify-ap-southeast-1.acrcloud.com' # os.environ.get('ACR_HOST', 'eu-west-1.api.acrcloud.com')
 
 # ACRCloud recognizer configuration
 config = {
@@ -31,45 +33,39 @@ 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)
 
-    # Parse full_result from string to JSON
-    full_result_parsed = json.loads(full_result)
-
-    # Extract desired details from parsed result
-    if 'metadata' in full_result_parsed and 'music' in full_result_parsed['metadata']:
-        music_data = full_result_parsed['metadata']['music'][0]
-        title = music_data.get('title', 'Unknown Title')
-        artists = ', '.join([artist['name'] for artist in music_data.get('artists', [])])
-        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}\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."
-
     # Recognize using file buffer
     with open(file_path, 'rb') as f:
         buf = f.read()
         buffer_result = acr.recognize_by_filebuffer(buf, 0)
 
-    return {
-        "Partial Results": "\n".join(results),
-        "Full Result": full_result_text,
-        "Buffer Result": buffer_result
-    }
+    # Convert results into Markdown format
+    result_md = f"""
+    ### Partial Results:
+    {"\n".join(results)}
+
+    ### Full Result:
+    ```json
+    {json.dumps(json.loads(full_result), indent=4)}
+    ```
+
+    ### Buffer Result:
+    ```json
+    {json.dumps(json.loads(buffer_result), indent=4)}
+    ```
+    """
+
+    return gr.Markdown(result_md)
 
 # Create Gradio interface
 iface = gr.Interface(
     fn=identify_audio,
     inputs=gr.File(label="Upload Audio File"),
-    outputs=gr.Markdown(label="Audio Metadata"),  # Change output to Markdown
+    outputs=gr.Markdown(label="Audio Metadata"),
     title="Audio Search by File",
     description="Upload an audio file to identify it using ACRCloud."
 )