debug audio ingest

handler.py

@@ -231,20 +231,20 @@ class EndpointHandler:
         inputs = base64.b64decode(inputs_encoded)
         logger.info(f"inputs decoded.")
         # make a tmp file
-        # with open("/tmp/myfile.tmp", "wb") as w:
-        #     w.write(inputs)
-        # logger.info(f"inputs saved.")
+        with open("/tmp/myfile.tmp", "wb") as w:
+            w.write(inputs)
+        logger.info(f"inputs saved.")
 
         # audio_nparray = ffmpeg_load_audio("/tmp/myfile.tmp", sr=SAMPLE_RATE, mono=True, out_type=np.float32)
-        # audio_nparray = load_audio("/tmp/myfile.tmp", sr=SAMPLE_RATE)
-        # logger.info(f"inputs loaded as mono 16kHz.")
-        # # clean up
-        # os.remove("/tmp/myfile.tmp")
-        # logger.info(f"temp file removed.")
+        audio_nparray = load_audio("/tmp/myfile.tmp", sr=SAMPLE_RATE)
+        logger.info(f"inputs loaded as mono 16kHz.")
+        # clean up
+        os.remove("/tmp/myfile.tmp")
+        logger.info(f"temp file removed.")
 
-        audio_nparray = ffmpeg_read(inputs, SAMPLE_RATE)
+        # audio_nparray = ffmpeg_read(inputs, SAMPLE_RATE)
         # audio_tensor = torch.from_numpy(audio_nparray)
-        logger.info(f"inputs loaded as mono 16kHz.")
+        # logger.info(f"inputs loaded as mono 16kHz.")
 
         # get the end time
         et = time.time()