Update custom_interface.py

custom_interface.py

@@ -107,15 +107,15 @@ class ASR(Pretrained):
         # Get audio length in seconds
         audio_length = len(waveform) / sr
         
-        if audio_length >= 7:
+        if audio_length >= 10:
             print(f"Audio is too long ({audio_length:.2f} seconds), splitting into segments")
             # Detect non-silent segments
-            non_silent_intervals = librosa.effects.split(waveform, top_db=25)  # Adjust top_db for sensitivity
+            non_silent_intervals = librosa.effects.split(waveform, top_db=20)  # Adjust top_db for sensitivity
 
             segments = []
             current_segment = []
             current_length = 0
-            max_duration = 7 * sr  # Maximum segment duration in samples (7 seconds)
+            max_duration = 10 * sr  # Maximum segment duration in samples (10 seconds)
 
             for interval in non_silent_intervals:
                 start, end = interval