Update steganography.py

steganography.py

@@ -42,14 +42,14 @@ def text_to_spectrogram_image(text, base_width=512, height=256, max_font_size=80
     image = np.where(image > 0, 255, image)
     return image
 
-# Converting an image to an audio signal
+# Converting an image to audio
 def spectrogram_image_to_audio(image, sr=22050):
     flipped_image = np.flipud(image)
     S = flipped_image.astype(np.float32) / 255.0 * 100.0
     y = librosa.griffinlim(S)
     return y
 
-# Function for creating an audio file and a spectrogram from text
+# Function for creating an audio file and spectrogram from text
 def create_audio_with_spectrogram(text, base_width, height, max_font_size, margin, letter_spacing):
     spec_image = text_to_spectrogram_image(text, base_width, height, max_font_size, margin, letter_spacing)
     y = spectrogram_image_to_audio(spec_image)
@@ -74,7 +74,7 @@ def display_audio_spectrogram(audio_path):
     plt.close()
     return spectrogram_path
 
-# Convert the uploaded image to a sound spectrogram
+# Converting a downloaded image to an audio spectrogram
 def image_to_spectrogram_audio(image_path, sr=22050):
     image = Image.open(image_path).convert('L')
     image = np.array(image)
@@ -103,13 +103,13 @@ with gr.Blocks(title='Audio Steganography', theme=gr.themes.Soft(primary_hue="gr
             with gr.Row(variant='panel'):
                 base_width = gr.Slider(value=512, label="Image Width", visible=False)
                 height = gr.Slider(value=256, label="Image Height", visible=False)
-                max_font_size = gr.Slider(minimum=10, maximum=130, step=5, value=80, label="Font Size")
+                max_font_size = gr.Slider(minimum=10, maximum=130, step=5, value=80, label="Font size")
                 margin = gr.Slider(minimum=0, maximum=50, step=1, value=10, label="Indent")
-                letter_spacing = gr.Slider(minimum=0, maximum=50, step=1, value=5, label="Distance between letters")
+                letter_spacing = gr.Slider(minimum=0, maximum=50, step=1, value=5, label="Letter spacing")
             generate_button = gr.Button("Generate")
         
         with gr.Column(variant='panel'):
-            output_audio = gr.Audio(type="filepath", label="Generated Sound")
+            output_audio = gr.Audio(type="filepath", label="Generated audio")
             output_image = gr.Image(type="filepath", label="Spectrogram")
 
         def gradio_interface_fn(text, base_width, height, max_font_size, margin, letter_spacing):
@@ -124,11 +124,11 @@ with gr.Blocks(title='Audio Steganography', theme=gr.themes.Soft(primary_hue="gr
     with gr.Tab("Image to Spectrogram"):
         with gr.Group():
             with gr.Row(variant='panel'):
-                upload_image = gr.Image(type="filepath", label="Upload an image")
-                convert_button = gr.Button("Convert to Audio")
+                upload_image = gr.Image(type="filepath", label="Upload image")
+                convert_button = gr.Button("Convert to audio")
             
             with gr.Column(variant='panel'):
-                output_audio_from_image = gr.Audio(type="filepath", label="Generated Sound")
+                output_audio_from_image = gr.Audio(type="filepath", label="Generated audio")
 
             def gradio_image_to_audio_fn(upload_image):
                 return image_to_spectrogram_audio(upload_image)
@@ -142,8 +142,8 @@ with gr.Blocks(title='Audio Steganography', theme=gr.themes.Soft(primary_hue="gr
     with gr.Tab("Audio Spectrogram"):
         with gr.Group():
             with gr.Row(variant='panel'):
-                upload_audio = gr.Audio(type="filepath", label="Upload an audio file")
-                decode_button = gr.Button("Show a spectrogram")
+                upload_audio = gr.Audio(type="filepath", label="Upload audio")
+                decode_button = gr.Button("Show spectrogram")
             
             with gr.Column(variant='panel'):
                 decoded_image = gr.Image(type="filepath", label="Audio Spectrogram")