Change request logic
Browse files- handler.py +14 -14
handler.py
CHANGED
|
@@ -5,7 +5,7 @@ from typing import Dict, List, Any
|
|
| 5 |
import numpy as np
|
| 6 |
import librosa
|
| 7 |
import os
|
| 8 |
-
|
| 9 |
def preprocess_audio(audio_signal, sr, duration=10, target_sr=16000):
|
| 10 |
n_samples = int(duration * target_sr)
|
| 11 |
audio = librosa.to_mono(audio_signal)
|
|
@@ -51,14 +51,14 @@ class EndpointHandler:
|
|
| 51 |
inference += f"{time}\n{text} \n \n"
|
| 52 |
return inference
|
| 53 |
|
|
|
|
| 54 |
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
|
| 55 |
-
|
| 56 |
-
|
| 57 |
-
|
|
|
|
| 58 |
sr = data["sampling_rate"]
|
| 59 |
-
|
| 60 |
-
input_audio = np.frombuffer(audio_bytes, dtype=audio_dtype).reshape(audio_shape)
|
| 61 |
-
|
| 62 |
preprocessed_audio = preprocess_audio(input_audio, sr)
|
| 63 |
|
| 64 |
return self._captioning(preprocessed_audio)
|
|
@@ -72,17 +72,17 @@ if __name__ == "__main__":
|
|
| 72 |
audio_path = "folk.wav"
|
| 73 |
np_audio, sr = librosa.load(audio_path, sr=44100)
|
| 74 |
|
| 75 |
-
|
| 76 |
np_shape = np_audio.shape
|
| 77 |
np_dtype = np_audio.dtype.name
|
| 78 |
-
|
| 79 |
-
request = {
|
| 80 |
-
"
|
| 81 |
-
"audio_shape":
|
| 82 |
"audio_dtype": np_dtype,
|
| 83 |
"sampling_rate": sr
|
| 84 |
-
}
|
| 85 |
|
| 86 |
print(f"Loaded {audio_path} with sample rate {sr}")
|
| 87 |
-
print(handler.__call__(request))
|
| 88 |
"""
|
|
|
|
| 5 |
import numpy as np
|
| 6 |
import librosa
|
| 7 |
import os
|
| 8 |
+
import json
|
| 9 |
def preprocess_audio(audio_signal, sr, duration=10, target_sr=16000):
|
| 10 |
n_samples = int(duration * target_sr)
|
| 11 |
audio = librosa.to_mono(audio_signal)
|
|
|
|
| 51 |
inference += f"{time}\n{text} \n \n"
|
| 52 |
return inference
|
| 53 |
|
| 54 |
+
|
| 55 |
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
|
| 56 |
+
data = json.loads(data["payload"])
|
| 57 |
+
array = np.array(data['audio_list'], dtype=data["audio_dtype"])
|
| 58 |
+
array_shape = data['audio_shape']
|
| 59 |
+
input_audio = array.reshape(array_shape)
|
| 60 |
sr = data["sampling_rate"]
|
| 61 |
+
|
|
|
|
|
|
|
| 62 |
preprocessed_audio = preprocess_audio(input_audio, sr)
|
| 63 |
|
| 64 |
return self._captioning(preprocessed_audio)
|
|
|
|
| 72 |
audio_path = "folk.wav"
|
| 73 |
np_audio, sr = librosa.load(audio_path, sr=44100)
|
| 74 |
|
| 75 |
+
np_list = np_audio.tolist()
|
| 76 |
np_shape = np_audio.shape
|
| 77 |
np_dtype = np_audio.dtype.name
|
| 78 |
+
|
| 79 |
+
request = json.dumps({
|
| 80 |
+
"audio_list": np_list,
|
| 81 |
+
"audio_shape": np_shape,
|
| 82 |
"audio_dtype": np_dtype,
|
| 83 |
"sampling_rate": sr
|
| 84 |
+
})
|
| 85 |
|
| 86 |
print(f"Loaded {audio_path} with sample rate {sr}")
|
| 87 |
+
print(handler.__call__({"payload": request}))
|
| 88 |
"""
|