Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -59,6 +59,15 @@ LANGUANGE_MAP = {
|
|
59 |
}
|
60 |
|
61 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
62 |
|
63 |
|
64 |
|
@@ -83,16 +92,7 @@ def process_audio_file(file):
|
|
83 |
return audio
|
84 |
|
85 |
def transcribe(Microphone, File_Upload):
|
86 |
-
processor = WhisperProcessor.from_pretrained(model_id)
|
87 |
-
model = WhisperForConditionalGeneration.from_pretrained(model_id)
|
88 |
-
model.eval()
|
89 |
-
model.to(device)
|
90 |
-
|
91 |
-
sampling_rate = processor.feature_extractor.sampling_rate
|
92 |
|
93 |
-
bos_token_id = processor.tokenizer.all_special_ids[-106]
|
94 |
-
decoder_input_ids = torch.tensor([bos_token_id]).to(device)
|
95 |
-
|
96 |
warn_output = ""
|
97 |
if (Microphone is not None) and (File_Upload is not None):
|
98 |
warn_output = "WARNING: You've uploaded an audio file and used the microphone. " \
|
|
|
59 |
}
|
60 |
|
61 |
|
62 |
+
processor = WhisperProcessor.from_pretrained(model_id)
|
63 |
+
model = WhisperForConditionalGeneration.from_pretrained(model_id)
|
64 |
+
model.eval()
|
65 |
+
model.to(device)
|
66 |
+
|
67 |
+
sampling_rate = processor.feature_extractor.sampling_rate
|
68 |
+
|
69 |
+
bos_token_id = processor.tokenizer.all_special_ids[-106]
|
70 |
+
decoder_input_ids = torch.tensor([bos_token_id]).to(device)
|
71 |
|
72 |
|
73 |
|
|
|
92 |
return audio
|
93 |
|
94 |
def transcribe(Microphone, File_Upload):
|
|
|
|
|
|
|
|
|
|
|
|
|
95 |
|
|
|
|
|
|
|
96 |
warn_output = ""
|
97 |
if (Microphone is not None) and (File_Upload is not None):
|
98 |
warn_output = "WARNING: You've uploaded an audio file and used the microphone. " \
|