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Hev832 commited on Sep 3, 2024

Commit

ec81989

verified ·

1 Parent(s): bfca903

Update steganography.py

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Files changed (1) hide show

steganography.py +36 -39

steganography.py CHANGED Viewed

@@ -6,6 +6,13 @@ import librosa.display
 import gradio as gr
 import soundfile as sf
 import os
 # Function for creating a spectrogram image with text
 def text_to_spectrogram_image(text, base_width=512, height=256, max_font_size=80, margin=10, letter_spacing=5):
@@ -83,11 +90,7 @@ def image_to_spectrogram_audio(image_path, sr=22050):
     sf.write(img2audio_path, y, sr)
     return img2audio_path
-informstion = """
 <!DOCTYPE html>
 <html lang="en">
 <head>
@@ -115,50 +118,44 @@ informstion = """
 </body>
 </html>
-"""
 # Gradio interface
 with gr.Blocks(
-    title='Audio Steganography',
     theme="Hev832/Applio",
 ) as iface:
-    gr.Markdown("# Audio Steganography")
     with gr.Group():
         with gr.Row(variant='panel'):
             with gr.Column():
-                gr.HTML("<center><h2><a href='https://t.me/pol1trees'>Telegram Channel</a></h2></center>")
             with gr.Column():
-                gr.HTML("<center><h2><a href='https://t.me/+GMTP7hZqY0E4OGRi'>Telegram Chat</a></h2></center>")
             with gr.Column():
-                gr.HTML("<center><h2><a href='https://www.youtube.com/channel/UCHb3fZEVxUisnqLqCrEM8ZA'>YouTube</a></h2></center>")
             with gr.Column():
-                gr.HTML("<center><h2><a href='https://github.com/Bebra777228/Audio-Steganography'>GitHub</a></h2></center>")
-    with gr.Tab("INFO"):
         gr.HTML(informstion)
-    with gr.Tab("Text to Spectrogram"):
-        gr.HTML("<center><h2>Oh my god people, learn to read. Go to the “INFO” tab, it says what this interface is and what it is for, don't be idiots.</h2></center>")
         with gr.Group():
-            text = gr.Textbox(lines=2, placeholder="Enter your text:", label="Text")
             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")
-                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="Letter spacing")
-            generate_button = gr.Button("Generate")
         with gr.Column(variant='panel'):
             with gr.Group():
-                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):
             print("\n", text)
@@ -170,15 +167,15 @@ with gr.Blocks(
             outputs=[output_audio, output_image]
         )
-    with gr.Tab("Image to Spectrogram"):
-        gr.HTML("<center><h2>Oh my god people, learn to read. Go to the “INFO” tab, it says what this interface is and what it is for, don't be idiots.</h2></center>")
         with gr.Group():
             with gr.Row(variant='panel'):
-                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 audio")
             def gradio_image_to_audio_fn(upload_image):
                 return image_to_spectrogram_audio(upload_image)
@@ -189,14 +186,14 @@ with gr.Blocks(
                 outputs=[output_audio_from_image]
             )
-    with gr.Tab("Audio Spectrogram"):
         with gr.Group():
             with gr.Row(variant='panel'):
-                upload_audio = gr.Audio(type="filepath", label="Upload audio", scale=3)
-                decode_button = gr.Button("Show spectrogram", scale=2)
             with gr.Column(variant='panel'):
-                decoded_image = gr.Image(type="filepath", label="Audio Spectrogram")
             def gradio_decode_fn(upload_audio):
                 return display_audio_spectrogram(upload_audio)

 import gradio as gr
 import soundfile as sf
 import os
+import gettext
+# Set up message catalog access
+locales_dir = 'locales'
+lang = gettext.translation('base', localedir=locales_dir, languages=['en'])
+lang.install()
+_ = lang.gettext
 # Function for creating a spectrogram image with text
 def text_to_spectrogram_image(text, base_width=512, height=256, max_font_size=80, margin=10, letter_spacing=5):
     sf.write(img2audio_path, y, sr)
     return img2audio_path
+informstion = _("""
 <!DOCTYPE html>
 <html lang="en">
 <head>
 </body>
 </html>
+""")
 # Gradio interface
 with gr.Blocks(
+    title=_('Audio Steganography'),
     theme="Hev832/Applio",
 ) as iface:
+    gr.Markdown(_("# Audio Steganography"))
     with gr.Group():
         with gr.Row(variant='panel'):
             with gr.Column():
+                gr.HTML(_("<center><h2><a href='https://t.me/pol1trees'>Telegram Channel</a></h2></center>"))
             with gr.Column():
+                gr.HTML(_("<center><h2><a href='https://t.me/+GMTP7hZqY0E4OGRi'>Telegram Chat</a></h2></center>"))
             with gr.Column():
+                gr.HTML(_("<center><h2><a href='https://www.youtube.com/channel/UCHb3fZEVxUisnqLqCrEM8ZA'>YouTube</a></h2></center>"))
             with gr.Column():
+                gr.HTML(_("<center><h2><a href='https://github.com/Bebra777228/Audio-Steganography'>GitHub</a></h2></center>"))
+    with gr.Tab(_("INFO")):
         gr.HTML(informstion)
+    with gr.Tab(_("Text to Spectrogram")):
+        gr.HTML(_("<center><h2>Oh my god people, learn to read. Go to the “INFO” tab, it says what this interface is and what it is for, don't be idiots.</h2></center>"))
         with gr.Group():
+            text = gr.Textbox(lines=2, placeholder=_("Enter your text:"), label=_("Text"))
             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"))
+                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=_("Letter spacing"))
+            generate_button = gr.Button(_("Generate"))
         with gr.Column(variant='panel'):
             with gr.Group():
+                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):
             print("\n", text)
             outputs=[output_audio, output_image]
         )
+    with gr.Tab(_("Image to Spectrogram")):
+        gr.HTML(_("<center><h2>Oh my god people, learn to read. Go to the “INFO” tab, it says what this interface is and what it is for, don't be idiots.</h2></center>"))
         with gr.Group():
             with gr.Row(variant='panel'):
+                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 audio"))
             def gradio_image_to_audio_fn(upload_image):
                 return image_to_spectrogram_audio(upload_image)
                 outputs=[output_audio_from_image]
             )
+    with gr.Tab(_("Audio Spectrogram")):
         with gr.Group():
             with gr.Row(variant='panel'):
+                upload_audio = gr.Audio(type="filepath", label=_("Upload audio"), scale=3)
+                decode_button = gr.Button(_("Show spectrogram"), scale=2)
             with gr.Column(variant='panel'):
+                decoded_image = gr.Image(type="filepath", label=_("Audio Spectrogram"))
             def gradio_decode_fn(upload_audio):
                 return display_audio_spectrogram(upload_audio)