Restart it

README.md

@@ -4,7 +4,7 @@ emoji: 🦀
 colorFrom: pink
 colorTo: gray
 sdk: gradio
-sdk_version: 5.25.0
+sdk_version: 5.25.1
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -1,205 +1,82 @@
+
 import gradio as gr
 import os
 import uuid
 from pydub import AudioSegment
 from pydub.silence import split_on_silence
 import re 
-import time
-import subprocess
-import threading
-
-# gr.close_all()
 
 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('_')
 
-    if clean_file_name.endswith('_tmp'):
-        clean_file_name = clean_file_name[:-4]
-
+    # Generate a random UUID for uniqueness
     random_uuid = uuid.uuid4().hex[:6]
 
-    clean_file_path = os.path.join(
-        os.path.dirname(file_path), 
-        f"{clean_file_name}_{random_uuid}{file_extension}"
-    )
+    # 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)  
-#     return output_path
-
 
 def remove_silence(file_path, minimum_silence=50):
-    sound = AudioSegment.from_file(file_path)
-    
-    # Try splitting with default -45 dBFS
-    audio_chunks = split_on_silence(
-        sound,
-        min_silence_len=100,
-        silence_thresh=-45,
-        keep_silence=minimum_silence
-    ) 
-    
-    # If no chunks were extracted (e.g. whole file is quieter than -45dBFS)
-    # retry with a dynamic threshold relative to the audio's actual loudness
-    if not audio_chunks:
-        dynamic_thresh = sound.dBFS - 16
-        audio_chunks = split_on_silence(
-            sound,
-            min_silence_len=100,
-            silence_thresh=dynamic_thresh,
-            keep_silence=minimum_silence
-        )
-        
+    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
-        
-    if len(combined) == 0:
-        combined = sound
-
-    output_path = clean_file_name(file_path)
-    
-    ext = os.path.splitext(output_path)[1].lower().replace('.', '')
-    if not ext:
-        ext = "wav"
-        output_path += ".wav"
-        
-    combined.export(output_path, format=ext)
+    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  
+    duration_seconds = len(audio) / 1000.0  # pydub uses milliseconds
     return duration_seconds
 
-FILE_TIMESTAMPS = {}
-
-def track_file(file_path):
-    FILE_TIMESTAMPS[file_path] = time.time()
-
-def cleanup_tracked_files(max_age_seconds=3600):
-    now = time.time()
-    to_delete = []
-
-    for file_path, created_time in list(FILE_TIMESTAMPS.items()):
-        if now - created_time > max_age_seconds:
-            if os.path.exists(file_path):
-                try:
-                    os.remove(file_path)
-                    print(f"🗑️ Deleted: {file_path}")
-                except Exception as e:
-                    print(f"⚠️ Error deleting {file_path}: {e}")
-
-            to_delete.append(file_path)
-
-    for f in to_delete:
-        FILE_TIMESTAMPS.pop(f, None)
-
-
-_CLEANUP_STARTED = False
-
-def start_cleanup_worker(interval=3600):
-    global _CLEANUP_STARTED
-    if _CLEANUP_STARTED:
-        return
-    _CLEANUP_STARTED = True
-    
-    def worker():
-        while True:
-            cleanup_tracked_files()
-            time.sleep(interval)
-
-    threading.Thread(target=worker, daemon=True).start()
-
-def convert_to_wav(audio_path):
-    if not os.path.isfile(audio_path):
-        return None
-
-    file_name = os.path.splitext(os.path.basename(audio_path))[0]
-    clean_name = re.sub(r'[^a-zA-Z0-9]+', '_', file_name)
-    clean_name = re.sub(r'_+', '_', clean_name).strip('_')
-
-    wav_path = os.path.join(
-        os.path.dirname(audio_path),
-        f"{clean_name}_tmp.wav"
-    )
-
-    try:
-        subprocess.run(
-            [
-                "ffmpeg",
-                "-y",
-                "-i", audio_path,
-                wav_path
-            ],
-            stdout=subprocess.DEVNULL,
-            stderr=subprocess.DEVNULL,
-            check=True
-        )
-
-        if os.path.isfile(wav_path) and os.path.getsize(wav_path) > 0:
-            return wav_path
-
-    except Exception as e:
-        print(f"⚠️ FFmpeg conversion error: {e}")
-        pass
-
-    return None
 
 def process_audio(audio_file, seconds=0.05):
-    if audio_file is None:
-        return None, None, "No file uploaded"
-
-    if not os.path.exists(audio_file):
-        return None, None, "File not found"
-
-    track_file(audio_file)
-    
-    converted_audio = convert_to_wav(audio_file)
-    
-    if converted_audio:
-        track_file(converted_audio)
-        audio_file = converted_audio
-    else:
-        return None, None, "Invalid file format or conversion failed"
-        
     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
 
-    try:
-        before = calculate_duration(audio_file)
-        
-        output_audio_file = remove_silence(
-            audio_file,
-            minimum_silence=keep_silence
-        )
-        
-        track_file(output_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
-        
-    except Exception as e:
-        print(f"⚠️ Error processing audio: {e}")
-        return None, None, f"An error occurred during processing: {str(e)}"
 
 def ui():
     theme = gr.themes.Soft(
@@ -228,6 +105,7 @@ def ui():
 
     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;">
@@ -235,21 +113,20 @@ def ui():
             </h1>
 
             <p style="font-size:1.05em; color:#555; margin:0 0 10px;">
-                Upload an Audio file, and it will remove silent parts from it.
-            </p>
-            <p style="font-size:0.8em; color:#999;">
-            ⚠️ Please don’t upload copyrighted content — it can take this Space offline.
+                Upload an MP3 or WAV file, and it will remove silent parts from it.
             </p>
+
             <p style="font-size:0.9em; color:#777;">
-                Install locally on your computer, enjoy unlimited runs with no waiting queue  
-                <a href="https://github.com/NeuralFalconYT/Remove-Silence-From-Audio" target="_blank" style="text-decoration:none;">
-                    Download Link
+                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",
@@ -267,21 +144,26 @@ def ui():
                     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", lines=2)
+                duration_output = gr.Textbox(label="Duration")
 
         submit_btn.click(
-            fn=process_audio,   
+            fn=process_audio,   # <-- your function
             inputs=[audio_input, silence_threshold],
             outputs=[audio_output, file_output, duration_output]
         )
 
     return demo
 
-start_cleanup_worker()
-
-demo= ui()
-demo.queue().launch()
-# demo.queue().launch(debug=True, share=True)
+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()    

new_ui.py

@@ -1,532 +0,0 @@
-import gradio as gr
-import os
-import uuid
-from pydub import AudioSegment
-from pydub.silence import split_on_silence
-import re
-import time
-import subprocess
-import threading
-
-# ─── File Helpers ─────────────────────────────────────────────────────────────
-
-def clean_file_name(file_path):
-    file_name = os.path.basename(file_path)
-    file_name, file_extension = os.path.splitext(file_name)
-    cleaned = re.sub(r'[^a-zA-Z\d]+', '_', file_name)
-    clean_name = re.sub(r'_+', '_', cleaned).strip('_')
-    if clean_name.endswith('_tmp'):
-        clean_name = clean_name[:-4]
-    random_uuid = uuid.uuid4().hex[:6]
-    clean_file_path = os.path.join(
-        os.path.dirname(file_path),
-        f"{clean_name}_{random_uuid}{file_extension}"
-    )
-    return clean_file_path
-
-def calculate_duration(file_path):
-    audio = AudioSegment.from_file(file_path)
-    return len(audio) / 1000.0
-
-
-# ─── File Tracking & Cleanup ──────────────────────────────────────────────────
-
-FILE_TIMESTAMPS = {}
-
-def track_file(file_path):
-    FILE_TIMESTAMPS[file_path] = time.time()
-
-def cleanup_tracked_files(max_age_seconds=3600):
-    now = time.time()
-    to_delete = []
-    for file_path, created_time in list(FILE_TIMESTAMPS.items()):
-        if now - created_time > max_age_seconds:
-            if os.path.exists(file_path):
-                try:
-                    os.remove(file_path)
-                except Exception as e:
-                    pass
-            to_delete.append(file_path)
-    for f in to_delete:
-        FILE_TIMESTAMPS.pop(f, None)
-
-_CLEANUP_STARTED = False
-
-def start_cleanup_worker(interval=3600):
-    global _CLEANUP_STARTED
-    if _CLEANUP_STARTED:
-        return
-    _CLEANUP_STARTED = True
-    def worker():
-        while True:
-            cleanup_tracked_files()
-            time.sleep(interval)
-    threading.Thread(target=worker, daemon=True).start()
-
-
-# ─── Audio Conversion ─────────────────────────────────────────────────────────
-
-def convert_to_wav(audio_path):
-    if not os.path.isfile(audio_path):
-        return None
-
-    # Get extension
-    ext = os.path.splitext(audio_path)[1].lower()
-
-    # If already mp3 or wav, return original file
-    if ext in [".mp3", ".wav"]:
-        return audio_path
-
-    # Clean filename
-    file_name = os.path.splitext(os.path.basename(audio_path))[0]
-    clean_name = re.sub(r'[^a-zA-Z0-9]+', '_', file_name)
-    clean_name = re.sub(r'_+', '_', clean_name).strip('_')
-
-    # Output wav path
-    wav_path = os.path.join(
-        os.path.dirname(audio_path),
-        f"{clean_name}_tmp.wav"
-    )
-
-    try:
-        subprocess.run(
-            [
-                "ffmpeg",
-                "-y",
-                "-i", audio_path,
-                "-ar", "16000",
-                "-ac", "1",
-                wav_path
-            ],
-            stdout=subprocess.DEVNULL,
-            stderr=subprocess.DEVNULL,
-            check=True
-        )
-
-        if os.path.isfile(wav_path) and os.path.getsize(wav_path) > 0:
-            return wav_path
-
-    except Exception:
-        pass
-
-    return None
-
-
-# ───pydub ─────────────────────────────────────────────
-
-
-# def remove_silence_pydub(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)  
-#     return output_path
-
-
-def remove_silence_pydub(file_path, minimum_silence=50):
-    sound = AudioSegment.from_file(file_path)
-    
-    # Try splitting with default -45 dBFS
-    audio_chunks = split_on_silence(
-        sound,
-        min_silence_len=100,
-        silence_thresh=-45,
-        keep_silence=minimum_silence
-    ) 
-    
-    # If no chunks were extracted (e.g. whole file is quieter than -45dBFS)
-    # retry with a dynamic threshold relative to the audio's actual loudness
-    if not audio_chunks:
-        dynamic_thresh = sound.dBFS - 16
-        audio_chunks = split_on_silence(
-            sound,
-            min_silence_len=100,
-            silence_thresh=dynamic_thresh,
-            keep_silence=minimum_silence
-        )
-        
-    combined = AudioSegment.empty()
-    for chunk in audio_chunks:
-        combined += chunk
-        
-    if len(combined) == 0:
-        combined = sound
-
-    output_path = clean_file_name(file_path)
-    
-    ext = os.path.splitext(output_path)[1].lower().replace('.', '')
-    if not ext:
-        ext = "wav"
-        output_path += ".wav"
-        
-    combined.export(output_path, format=ext)
-    return output_path
-
-
-
-# ─── Main Processing ──────────────────────────────────────────────────────────
-
-def process_audio(audio_file, seconds_float):
-    if audio_file is None:
-        return None, None, ""
-    if not os.path.exists(audio_file):
-        return None, None, ""
-
-    try:
-        seconds = max(0.0, float(seconds_float))
-    except ValueError:
-        seconds = 0.05
-
-    track_file(audio_file)
-    converted_audio = convert_to_wav(audio_file)
-
-    if converted_audio:
-        track_file(converted_audio)
-        audio_file = converted_audio
-    else:
-        return None, None, "Invalid file format or conversion failed."
-
-    keep_silence = int(seconds * 1000)
-
-    try:
-        before = calculate_duration(audio_file)
-
-        # Process strictly with PyDub
-        output_audio_file = remove_silence_pydub(
-            audio_file,
-            minimum_silence=keep_silence
-        )
-
-        track_file(output_audio_file)
-        after = calculate_duration(output_audio_file)
-
-        removed = before - after
-        percent = (removed / before * 100) if before > 0 else 0
-
-        def fmt(s):
-            m = int(s // 60)
-            sec = s % 60
-            if m > 0:
-                return f"{m}m {sec:.1f}s"
-            return f"{sec:.2f}s"
-
-        mode_label = ""
-
-        # Sleek, Dark-Themed Result Card
-        result_html = f"""
-        <div style="margin-top: 15px; background: #1c1c1c; border: 1px solid #333; border-radius: 12px; overflow: hidden; box-shadow: 0 4px 10px rgba(0,0,0,0.5);">
-            <div style="display: flex; justify-content: space-between; align-items: center; border-bottom: 1px solid #333;">
-                
-                <div style="flex: 1; padding: 18px 10px; text-align: center; border-right: 1px solid #333;">
-                    <div style="font-size: 11px; color: #888; text-transform: uppercase; letter-spacing: 1px; margin-bottom: 6px;">Original</div>
-                    <div style="font-size: 22px; font-weight: 700; color: #f4f4f5; font-family: 'Inter', sans-serif;">{fmt(before)}</div>
-                </div>
-                
-                <div style="flex: 1; padding: 18px 10px; text-align: center; border-right: 1px solid #333; background: #222;">
-                    <div style="font-size: 11px; color: #888; text-transform: uppercase; letter-spacing: 1px; margin-bottom: 6px;">New</div>
-                    <div style="font-size: 22px; font-weight: 700; color: #3b82f6; font-family: 'Inter', sans-serif;">{fmt(after)}</div>
-                </div>
-                
-                <div style="flex: 1; padding: 18px 10px; text-align: center; background: #1c1c1c;">
-                    <div style="font-size: 11px; color: #888; text-transform: uppercase; letter-spacing: 1px; margin-bottom: 6px;">Removed</div>
-                    <div style="font-size: 22px; font-weight: 700; color: #ef4444; font-family: 'Inter', sans-serif;">{percent:.1f}%</div>
-                    <div style="font-size: 12px; color: #666; margin-top: 4px; font-weight: 500;">{fmt(removed)}</div>
-                </div>
-
-        </div>
-        """
-        return output_audio_file, output_audio_file, result_html
-
-    except Exception as e:
-        return None, None, f"<p style='color:#ef4444; font-family:Inter,sans-serif; font-size:13px; margin-top:10px; padding:12px; background:#2a1111; border-radius:8px; border:1px solid #5a1a1a;'>Error: {str(e)}</p>"
-
-
-# -----------------------------
-# CSS FOR LAYOUT & THEMING
-# -----------------------------
-
-css = """
-/* APP & MAIN */
-body, html {
-    background: #171717 !important;
-    font-family: 'Inter', sans-serif !important;
-    color: white !important;
-    margin: 0;
-    padding: 0;
-}
-
-/* 🟢 FORCING THE WIDE LAYOUT 🟢 */
-.gradio-container {
-    max-width: 1500px !important; /* Forces container to stretch out */
-    width: 95% !important;        /* Uses 95% of the screen width */
-    margin: auto !important;
-    background: #171717 !important;
-    padding: 20px 24px !important;
-}
-
-/* REMOVE DEFAULT FOOTER */
-footer { display: none !important; }
-
-.dark {
-    --body-background-fill: #171717 !important;
-    --block-background-fill: #262626 !important;
-    --block-border-color: #333 !important;
-}
-
-/* TOPBAR */
-.topbar {
-    display: flex;
-    justify-content: space-between;
-    align-items: center;
-    margin-bottom: 25px; 
-}
-
-.logo {
-    display: flex;
-    align-items: center;
-    gap: 12px;
-}
-
-.logo-icon {
-    width: 32px;
-    height: 32px;
-    border-radius: 8px;
-    background: white;
-    color: black;
-    display: flex;
-    align-items: center;
-    justify-content: center;
-    font-weight: 700;
-    font-size: 15px;
-}
-
-.logo-text {
-    font-size: 18px;
-    font-weight: 600;
-}
-
-.nav {
-    display: flex;
-    gap: 22px;
-    align-items: center;
-}
-
-.nav a {
-    color: #a1a1aa;
-    text-decoration: none;
-    cursor: pointer;
-    transition: 0.2s;
-    font-size: 13px;
-    font-weight: 500;
-}
-
-.nav a:hover {
-    color: white;
-}
-
-.nav-yt { color: #ff4e4e !important; }
-.nav-kofi { color: #29abe0 !important; }
-
-/* HERO */
-.hero {
-    text-align: center;
-    margin-bottom: 35px; 
-}
-
-.hero h1 {
-    font-size: 42px; 
-    font-weight: 800;
-    letter-spacing: -0.05em;
-    margin-bottom: 6px;
-}
-
-/* BLUE HERO TEXT */
-.hero span {
-    color: #3b82f6; 
-}
-
-.hero p {
-    color: #a1a1aa;
-    font-size: 15px; 
-    margin: 4px 0 16px 0;
-}
-
-.badges {
-    display: flex;
-    justify-content: center;
-    gap: 10px;
-}
-
-.badge {
-    background: #262626;
-    border: 1px solid #333;
-    padding: 6px 14px;
-    border-radius: 999px;
-    color: #d4d4d8;
-    font-size: 11px; 
-    font-weight: 500;
-}
-
-/* CARDS / PANELS */
-.panel {
-    background: #262626 !important;
-    border: 1px solid #333 !important;
-    border-radius: 14px !important;
-    padding: 24px !important; 
-    box-shadow: 0 4px 12px rgba(0,0,0,0.15) !important;
-}
-
-/* FORCE SIDE BY SIDE ON DESKTOP */
-@media (min-width: 768px) {
-    .side-by-side {
-        flex-wrap: nowrap !important;
-    }
-}
-
-/* TITLES */
-.section-title {
-    font-size: 12px;
-    text-transform: uppercase;
-    color: #888;
-    letter-spacing: 1px;
-    margin-bottom: 14px;
-    font-weight: 600;
-}
-
-/* AUDIO COMPONENT */
-audio {
-    border-radius: 8px !important;
-    background: #1f1f1f !important;
-}
-
-/* CUSTOM BLUE BUTTON */
-#process-btn {
-    background: #3b82f6 !important;
-    color: white !important;
-    border: none !important;
-    border-radius: 8px !important;
-    height: 48px !important; 
-    font-size: 15px !important;
-    font-weight: 600 !important;
-    margin-top: 14px !important;
-    transition: all 0.2s ease-in-out !important;
-    box-shadow: 0 4px 12px rgba(59, 130, 246, 0.3) !important;
-}
-
-#process-btn:hover {
-    background: #2563eb !important;
-    box-shadow: 0 4px 16px rgba(59, 130, 246, 0.4) !important;
-    transform: translateY(-1px);
-}
-
-/* INPUTS */
-.gr-textbox, .gr-dropdown {
-    background: #1f1f1f !important;
-    border: 1px solid #3a3a3a !important;
-    border-radius: 8px !important;
-}
-
-/* MOBILE RESPONSIVENESS */
-@media(max-width: 900px) {
-    .topbar { flex-direction: column; gap: 16px; }
-    .nav { flex-wrap: wrap; justify-content: center; }
-}
-"""
-
-# -----------------------------
-# START BACKGROUND WORKERS
-# -----------------------------
-start_cleanup_worker()
-
-# -----------------------------
-# UI
-# -----------------------------
-
-with gr.Blocks(
-    theme=gr.themes.Base(),
-    css=css,
-    title="Remove Silence"
-) as demo:
-
-    # TOPBAR
-    gr.HTML("""
-    <div class="topbar">
-        <div class="logo">
-            <div class="logo-icon">R</div>
-            <div class="logo-text">Remove Silence</div>
-        </div>
-        <div class="nav">
-            <a href="https://www.youtube.com/@neuralfalcon/" target="_blank" class="nav-yt">Subscribe YouTube</a>
-            <a href="https://ko-fi.com/neuralfalcon" target="_blank" class="nav-kofi">Donate</a>
-            <a href="https://github.com/NeuralFalconYT/Remove-Silence-From-Audio" target="_blank">GitHub</a>
-            <a href="mailto:NeuralFalcon@proton.me" target="_blank">Mail</a>
-            <a href="https://x.com/NeuralFalcon" target="_blank">X</a>
-        </div>
-    </div>
-    """)
-
-    # HERO
-    gr.HTML("""
-    <div class="hero">
-        <h1>REMOVE <span>SILENCE</span></h1>
-        <p>Drop your audio and instantly clean pauses for Shorts, TikTok & Reels</p>
-        <div class="badges">
-            <div class="badge">100% Free</div>
-            <div class="badge">No Sign-Up</div>
-        </div>
-    </div>
-    """)
-
-    with gr.Row(equal_height=False, elem_classes="side-by-side"):
-
-        # LEFT PANEL (UPLOAD) - Adjusted min_width to stretch beautifully in the new wide container
-        with gr.Column(scale=1, min_width=450):
-            with gr.Group(elem_classes="panel"):
-                gr.HTML('<div class="section-title">Upload & Settings</div>')
-
-                input_audio = gr.Audio(
-                    type="filepath",
-                    label="",
-                    show_label=False
-                )
-
-                with gr.Row():
-                    keep_silence = gr.Number(
-                    label="Keep Silence Upto (In seconds)",
-                    value=0.05
-                )
-
-                # Blue submit button
-                process_btn = gr.Button("Remove Silence", elem_id="process-btn")
-
-        # RIGHT PANEL (RESULT)
-        with gr.Column(scale=1, min_width=450):
-            with gr.Group(elem_classes="panel"):
-                gr.HTML('<div class="section-title">Result</div>')
-
-                output_audio = gr.Audio(
-                    label="Play Audio",
-                    show_label=False
-                )
-                
-                download_audio = gr.File(
-                    label="Download Audio",
-                    show_label=False
-                )
-                
-                stats_html = gr.HTML()
-
-    # PROCESS
-    process_btn.click(
-        fn=process_audio,
-        inputs=[input_audio, keep_silence],
-        outputs=[output_audio, download_audio, stats_html]
-    )
-
-demo.launch()

packages.txt

@@ -1 +0,0 @@
-ffmpeg

requirements.txt

@@ -1,7 +1,3 @@
-#click>=8.1.8
 pydub==0.25.1
 gradio>=5.25.0
-#torch==2.10.0
-#torchaudio==2.10.0
-#torchcodec==0.10.0
-numpy
+click>=8.1.8