Spaces:
Running
Running
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import numpy as np
|
| 2 |
+
from pydub import AudioSegment
|
| 3 |
+
from matplotlib import pyplot as plt
|
| 4 |
+
from pysstv.color import Robot36
|
| 5 |
+
import gradio as gr
|
| 6 |
+
|
| 7 |
+
def decode_sstv(audio_file):
|
| 8 |
+
# Чтение аудиофайла
|
| 9 |
+
audio = AudioSegment.from_file(audio_file)
|
| 10 |
+
samples = np.array(audio.get_array_of_samples(), dtype=np.int16)
|
| 11 |
+
|
| 12 |
+
# Декодирование SSTV сигнала
|
| 13 |
+
sstv = Robot36(samples, sample_rate=audio.frame_rate)
|
| 14 |
+
img = sstv.decode()
|
| 15 |
+
|
| 16 |
+
# Отображение изображения
|
| 17 |
+
plt.imshow(img)
|
| 18 |
+
plt.axis('off')
|
| 19 |
+
img_path = 'decoded_image.png'
|
| 20 |
+
plt.savefig(img_path, bbox_inches='tight', pad_inches=0)
|
| 21 |
+
return img_path
|
| 22 |
+
|
| 23 |
+
iface = gr.Interface(
|
| 24 |
+
fn=decode_sstv,
|
| 25 |
+
inputs=gr.Audio(source="upload", type="file", label="Upload SSTV Audio File"),
|
| 26 |
+
outputs=gr.Image(label="Decoded Image"),
|
| 27 |
+
title="SSTV Decoder",
|
| 28 |
+
description="Upload an SSTV audio file to decode the image."
|
| 29 |
+
)
|
| 30 |
+
|
| 31 |
+
if __name__ == "__main__":
|
| 32 |
+
iface.launch()
|