Update app.py
Browse files
app.py
CHANGED
|
@@ -3,6 +3,9 @@ import gradio as gr
|
|
| 3 |
|
| 4 |
|
| 5 |
from huggingface_hub import snapshot_download
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
|
| 8 |
|
|
@@ -34,6 +37,12 @@ def infer(prompt):
|
|
| 34 |
# It assumes that you have a speaker file in `bark_voices/speaker_n/speaker.wav` or `bark_voices/speaker_n/speaker.npz`
|
| 35 |
output_dict = model.synthesize(text, config, speaker_id="speaker", voice_dirs="bark_voices/")
|
| 36 |
print(output_dict)
|
| 37 |
-
return "done"
|
| 38 |
|
| 39 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
|
| 4 |
|
| 5 |
from huggingface_hub import snapshot_download
|
| 6 |
+
import numpy as np
|
| 7 |
+
from scipy.io import wavfile
|
| 8 |
+
|
| 9 |
|
| 10 |
|
| 11 |
|
|
|
|
| 37 |
# It assumes that you have a speaker file in `bark_voices/speaker_n/speaker.wav` or `bark_voices/speaker_n/speaker.npz`
|
| 38 |
output_dict = model.synthesize(text, config, speaker_id="speaker", voice_dirs="bark_voices/")
|
| 39 |
print(output_dict)
|
|
|
|
| 40 |
|
| 41 |
+
sample_rate = 44100 # Replace with the actual sample rate
|
| 42 |
+
|
| 43 |
+
wavfile.write('output.wav', sample_rate, output_dict['wav'])
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
return "output.wav"
|
| 47 |
+
|
| 48 |
+
gr.Interface(fn=infer, inputs=[gr.Textbox()], outputs=[gr.Audio()]).launch()
|