Update app.py

app.py

@@ -463,8 +463,37 @@ base_audio_drive = "/data/audio"
 
 # Resampling code with 16000 Hz
 
-import numpy as np
-from scipy.signal import resample
+# import numpy as np
+# from scipy.signal import resample
+
+# def transcribe_function(stream, new_chunk):
+#     try:
+#         sr, y = new_chunk[0], new_chunk[1]
+#     except TypeError:
+#         print(f"Error chunk structure: {type(new_chunk)}, content: {new_chunk}")
+#         return stream, "", None
+
+#     # Resample to 16000 Hz
+#     target_sr = 16000
+#     if sr != target_sr:
+#         num_samples = int(len(y) * float(target_sr) / sr)
+#         y = resample(y, num_samples)
+#         sr = target_sr
+
+#     y = y.astype(np.float32) / np.max(np.abs(y))
+
+#     if stream is not None:
+#         stream = np.concatenate([stream, y])
+#     else:
+#         stream = y
+
+#     result = pipe_asr({"array": stream, "sampling_rate": sr}, return_timestamps=False)
+
+#     full_text = result.get("text", "")
+    
+#     return stream, full_text, result
+
+#Resample part -1
 
 def transcribe_function(stream, new_chunk):
     try:
@@ -473,7 +502,7 @@ def transcribe_function(stream, new_chunk):
         print(f"Error chunk structure: {type(new_chunk)}, content: {new_chunk}")
         return stream, "", None
 
-    # Resample to 16000 Hz
+    # Ensure the sample rate is 16000 Hz
     target_sr = 16000
     if sr != target_sr:
         num_samples = int(len(y) * float(target_sr) / sr)
@@ -904,7 +933,7 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
     
 
 demo.queue()
-demo.launch(share=True)
+demo.launch(show_error=True)