Update app.py

app.py

@@ -1,24 +1,51 @@
 import gradio as gr
 import os
-from acrcloud import ACRCloud
+from acrcloud.recognizer import ACRCloudRecognizer
 
 # 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 = os.environ.get('ACR_HOST', 'eu-west-1.api.acrcloud.com')
 
-# Initialize ACRCloud client
-acr = ACRCloud('eu-west-1.api.acrcloud.com', acr_access_key, acr_access_secret)
+# ACRCloud recognizer configuration
+config = {
+    'host': acr_host,
+    'access_key': acr_access_key,
+    'access_secret': acr_access_secret,
+    'timeout': 10  # seconds
+}
+
+# Initialize ACRCloud recognizer
+acr = ACRCloudRecognizer(config)
 
 def identify_audio(file):
     # Save the uploaded file temporarily
-    file_path = "temp_audio_file.ogg"
+    file_path = file.name
     file.save(file_path)
 
-    # Identify the audio using ACRCloud
-    metadata = acr.identify(file_path)
+    # Get the duration of the audio file in milliseconds
+    duration_ms = int(acr.get_duration_ms_by_file(file_path))
+
+    results = []
+
+    # 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()}")
+
+    # Full recognition result
+    full_result = acr.recognize_by_file(file_path, 0)
+
+    # Recognize using file buffer
+    with open(file_path, 'rb') as f:
+        buf = f.read()
+        buffer_result = acr.recognize_by_filebuffer(buf, 0)
 
-    # Return the metadata as the output
-    return metadata
+    return {
+        "Partial Results": results,
+        "Full Result": full_result,
+        "Buffer Result": buffer_result
+    }
 
 # Create Gradio interface
 iface = gr.Interface(
@@ -29,5 +56,5 @@ iface = gr.Interface(
     description="Upload an audio file to identify it using ACRCloud."
 )
 
-# Launch the interface
+# Launch the Gradio interface
 iface.launch()