def music_emotions(self, audio: TypeAudio):
"""
:param audio: audio file with music song
"""
features = get_audio_features(audio)
if len(features) == 0:
return result_error(ERROR_MESSAGE_INVALID_FEATURES)
emotions = predict_topk_emotions(np.array(features), k=3)
if len(emotions) == 0:
return result_error(ERROR_MESSAGE_MODEL_FAIL_EMOTIONS)
return result_emotions(emotions)
def step2_page(self, hash: str) -> str:
"""
Step 2
- Redirect with features file hash
- Displaying emotion choice
:param hash: part of file name with cached song features
:return:
"""
features = AppServerController.get_features_by_hash(hash)
if features is None:
return self.render_step1_page()
emotions = predict_topk_emotions(features, k=3)
return self.render_step2_page(emotions)
def music_fonts(self, audio: Optional[TypeAudio] = None, emotion: Optional[str] = None):
"""
:param audio: audio file with music song
:param emotion: emotion, selected by user
"""
if emotion is not None and emotion not in EMOTIONS:
return result_error(ERROR_MESSAGE_UNKNOWN_EMOTION % (emotion, ', '.join(EMOTIONS)))
if emotion is not None:
emotions = [emotion]
else:
features = get_audio_features(audio)
if len(features) == 0:
return result_error(ERROR_MESSAGE_INVALID_FEATURES)
emotions = predict_topk_emotions(np.array(features), k=3)
emotion_fonts = {}
for emotion in emotions:
emotion_fonts[emotion] = get_fonts(emotion)
return result_emotion_fonts(emotion_fonts)