Update app.py

app.py

@@ -64,3 +64,89 @@ def process_audio_and_display_info(audio_file, interval):
 
 if __name__ == "__main__":
     main()
+
+
+
+
+------------------
+import gradio as gr
+import matplotlib.pyplot as plt
+import numpy as np
+import os
+import soundfile as sf
+
+def main():
+    # Gradio Interface
+    with gr.Blocks() as app:
+        gr.Markdown(
+            """
+            # <div align="center"> diablofx Audio Interval Cutter (BETA) </div>
+            Want to [support](https://ko-fi.com/diablofx) me? or [join AI HUB](https://discord.gg/aihub) for more help\n
+            """
+        )
+    
+        with gr.Row():
+            with gr.Column():
+                audio_input = gr.Audio(type='filepath')
+                create_spec_butt = gr.Button(value='Create Spectrogram And Get Info', variant='primary')
+            with gr.Column():
+                output_markdown = gr.Markdown(value="", visible=True)
+                image_output = gr.Image(type='filepath', interactive=False)
+    
+        create_spec_butt.click(fn=create_spectrogram_and_get_info, inputs=[audio_input], outputs=[output_markdown, image_output])
+        
+        app.queue(max_size=1022).launch(share=True)
+
+def create_spectrogram_and_get_info(audio_file):
+    # Clear figure in case it has data in it
+    plt.clf()
+    
+    # Read the audio data from the file
+    audio_data, sample_rate = sf.read(audio_file)
+
+    # Convert to mono if it's not mono
+    if len(audio_data.shape) > 1:
+        audio_data = np.mean(audio_data, axis=1)
+
+    # Create the spectrogram
+    plt.specgram(audio_data, Fs=sample_rate / 1, NFFT=4096, sides='onesided',
+                 cmap="Reds_r", scale_by_freq=True, scale='dB', mode='magnitude', window=np.hanning(4096))
+
+    # Save the spectrogram to a PNG file
+    plt.savefig('spectrogram.png')
+
+    # Get the audio file info
+    audio_info = sf.info(audio_file)
+    
+    bit_depth = {'PCM_16': 16, 'FLOAT': 32}.get(audio_info.subtype, 0)
+    
+    # Convert duration to minutes, seconds, and milliseconds
+    minutes, seconds = divmod(audio_info.duration, 60)
+    seconds, milliseconds = divmod(seconds, 1)
+    milliseconds *= 1000  # convert from seconds to milliseconds
+    
+    # Convert bitrate to mb/s
+    bitrate = audio_info.samplerate * audio_info.channels * bit_depth / 8 / 1024 / 1024
+    
+    # Calculate speed in kbps
+    speed_in_kbps = audio_info.samplerate * bit_depth / 1000
+    
+    # Create a table with the audio file info
+    info_table = f"""
+    
+    | Information | Value |
+    | :---: | :---: |
+    | File Name | {os.path.basename(audio_file)} |
+    | Duration | {int(minutes)} minutes - {int(seconds)} seconds - {int(milliseconds)} milliseconds |
+    | Bitrate | {speed_in_kbps} kbp/s |
+    | Audio Channels | {audio_info.channels} |
+    | Samples per second | {audio_info.samplerate} Hz |
+    | Bit per second | {audio_info.samplerate * audio_info.channels * bit_depth} bit/s |
+    
+    """
+    
+    # Return the PNG file of the spectrogram and the info table
+    return info_table, 'spectrogram.png'
+
+# Create the Gradio interface
+main()