Update app.py

app.py

@@ -1,40 +1,33 @@
 import numpy as np
-import scipy.signal
-import matplotlib.pyplot as plt
+from pydub import AudioSegment
+from matplotlib import pyplot as plt
+from pysstv.color import Robot36
 import gradio as gr
 
-def dummy_sstv_decode(audio_data, sample_rate):
-    """
-    A placeholder function for decoding SSTV signals.
-    For a real decoder, you would process the audio_data to extract image information.
-    """
-    # In a real implementation, you'd process the audio to extract an image.
-    # Here, we just return a blank image for demonstration purposes.
-    image = np.zeros((256, 320, 3), dtype=np.uint8)
-    return image
+def decode_sstv(audio_file):
+    # Чтение аудиофайла
+    audio = AudioSegment.from_file(audio_file)
+    samples = np.array(audio.get_array_of_samples(), dtype=np.int16)
 
-def sstv_decoder(audio_file):
-    # Load the audio file
-    sample_rate, audio_data = scipy.io.wavfile.read(audio_file.name)
-    
-    # Decode the SSTV signal (Dummy Function)
-    image = dummy_sstv_decode(audio_data, sample_rate)
+    # Декодирование SSTV сигнала, установка sample_rate после создания объек
+    sstv = Robot36(samples)
+    sstv.sample_rate = audio.frame_rate
+    img = sstv.decode()
 
-    # Display the image
-    plt.imshow(image)
+    # Отображение изображения
+    plt.imshow(img)
     plt.axis('off')
-    plt.show()
+    img_path = 'decoded_image.png'
+    plt.savefig(img_path, bbox_inches='tight', pad_inches=0)
+    return img_path
 
-    return image
-
-# Set up Gradio interface
 iface = gr.Interface(
-    fn=sstv_decoder, 
-    inputs=gr.Audio(source="upload", type="filepath"), 
-    outputs="image",
+    fn=decode_sstv,
+    inputs=gr.Audio(type="filepath", label="Upload SSTV Audio File"),
+    outputs=gr.Image(label="Decoded Image"),
     title="SSTV Decoder",
-    description="Upload an audio file with an SSTV signal to decode it into an image.",
+    description="Upload an SSTV audio file to decode the image."
 )
 
-# Launch the interface
-iface.launch()
+if __name__ == "__main__":
+    iface.launch()