Upload app.py

app.py

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+
+import gradio as gr
+import os
+import uuid
+from pydub import AudioSegment
+from pydub.silence import split_on_silence
+import re 
+
+def clean_file_name(file_path):
+    # Get the base file name and extension
+    file_name = os.path.basename(file_path)
+    file_name, file_extension = os.path.splitext(file_name)
+
+    # Replace non-alphanumeric characters with an underscore
+    cleaned = re.sub(r'[^a-zA-Z\d]+', '_', file_name)
+
+    # Remove any multiple underscores
+    clean_file_name = re.sub(r'_+', '_', cleaned).strip('_')
+
+    # Generate a random UUID for uniqueness
+    random_uuid = uuid.uuid4().hex[:6]
+
+    # Combine cleaned file name with the original extension
+    clean_file_path = os.path.join(os.path.dirname(file_path), clean_file_name + f"_{random_uuid}" + file_extension)
+
+    return clean_file_path
+
+
+
+def remove_silence(file_path, minimum_silence=50):
+    sound = AudioSegment.from_file(file_path)  # auto-detects format
+    audio_chunks = split_on_silence(sound,
+                                    min_silence_len=100,
+                                    silence_thresh=-45,
+                                    keep_silence=minimum_silence) 
+    combined = AudioSegment.empty()
+    for chunk in audio_chunks:
+        combined += chunk
+    output_path=clean_file_name(file_path)        
+    combined.export(output_path)  # format inferred from output file extension
+    return output_path
+
+
+
+def calculate_duration(file_path):
+    audio = AudioSegment.from_file(file_path)
+    duration_seconds = len(audio) / 1000.0  # pydub uses milliseconds
+    return duration_seconds
+
+
+def process_audio(audio_file, seconds=0.05):
+    keep_silence = int(seconds * 1000)
+    output_audio_file = remove_silence(audio_file, minimum_silence=keep_silence)
+    before = calculate_duration(audio_file)
+    after = calculate_duration(output_audio_file)
+    text = f"Old Duration: {before:.3f} seconds \nNew Duration: {after:.3f} seconds"
+    return output_audio_file, output_audio_file, text
+
+# def ui():
+#     theme = gr.themes.Soft(font=[gr.themes.GoogleFont("Source Sans Pro"), "Arial", "sans-serif"])
+#     css = ".gradio-container {max-width: none !important;} .tab-content {padding: 20px;}"
+#     demo = gr.Interface(
+#     fn=process_audio,
+#     inputs=[
+#         gr.Audio(label="Upload Audio", type="filepath", sources=['upload', 'microphone']),
+#         gr.Number(label="Keep Silence Upto (In seconds)", value=0.05)
+#     ],
+#     outputs=[
+#         gr.Audio(label="Play Audio"),
+#         gr.File(label="Download Audio File"),
+#         gr.Textbox(label="Duration")
+#     ],
+#     title="Remove Silence From Audio",
+#     description="Upload an MP3 or WAV file, and it will remove silent parts from it.",
+#     theme=theme,
+#     css=css,
+#     )
+#     return demo
+
+
+def ui():
+    theme = gr.themes.Soft(
+        font=[gr.themes.GoogleFont("Source Sans Pro"), "Arial", "sans-serif"]
+    )
+
+    css = """
+    .gradio-container {max-width: none !important;}
+    .tab-content {padding: 20px;}
+
+    /* Primary button - BLUE by default */
+    button.primary {
+        background-color: #2563eb !important;
+        color: white !important;
+        font-weight: 600;
+        border: none !important;
+        border-radius: 10px;
+        padding: 12px 18px;
+        font-size: 1.05em;
+    }
+
+    button.primary:hover {
+        background-color: #1e40af !important;
+    }
+    """
+
+    with gr.Blocks(theme=theme, css=css) as demo:
+
+        # Header
+        gr.HTML("""
+        <div style="text-align:center; margin:20px auto; max-width:800px;">
+            <h1 style="font-size:2.4em; margin-bottom:6px;">
+                🔇 Remove Silence From Audio
+            </h1>
+
+            <p style="font-size:1.05em; color:#555; margin:0 0 10px;">
+                Upload an MP3 or WAV file, and it will remove silent parts from it.
+            </p>
+
+            <p style="font-size:0.9em; color:#777;">
+                Made by 
+                <a href="https://github.com/NeuralFalconYT" target="_blank" style="text-decoration:none;">
+                    NeuralFalconYT
+                </a>
+            </p>
+        </div>
+        """)
+
+        with gr.Row():
+            # LEFT: Inputs
+            with gr.Column(scale=1):
+                audio_input = gr.Audio(
+                    label="Upload Audio",
+                    type="filepath",
+                    sources=["upload", "microphone"]
+                )
+
+                silence_threshold = gr.Number(
+                    label="Keep Silence Upto (In seconds)",
+                    value=0.05
+                )
+
+                submit_btn = gr.Button(
+                    "🔇 Remove Silence",
+                    variant="primary"
+                )
+
+            # RIGHT: Outputs
+            with gr.Column(scale=1):
+                audio_output = gr.Audio(label="Play Audio")
+                file_output = gr.File(label="Download Audio File")
+                duration_output = gr.Textbox(label="Duration")
+
+        submit_btn.click(
+            fn=process_audio,   # <-- your function
+            inputs=[audio_input, silence_threshold],
+            outputs=[audio_output, file_output, duration_output]
+        )
+
+    return demo
+
+import click
+@click.command()
+@click.option("--debug", is_flag=True, default=False, help="Enable debug mode.")
+@click.option("--share", is_flag=True, default=False, help="Enable sharing of the interface.")
+def main(debug, share):
+    demo=ui()
+    demo.queue().launch(debug=debug, share=share)
+if __name__ == "__main__":
+    main()