Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 import os
 import subprocess
-import soundfile as sf
 import logging
 from datetime import datetime
 
@@ -43,8 +42,6 @@ def run_pipeline(audio_input, remove_fillers, remove_stutters, remove_silences,
         
         # Step 2: Transcription (Department 2)
         logger.info("[Pipeline] Step 2/3 — Transcribing with Groq...")
-        # Note: We transcribe the original input for better context, 
-        # or denoise_result['audio_path'] for cleaner text.
         transcript_data = transcriber.transcribe(denoise_result['audio_path'])
         final_transcript = transcript_data['text']
         
@@ -57,13 +54,12 @@ def run_pipeline(audio_input, remove_fillers, remove_stutters, remove_silences,
         translated_text = translator.translate(final_transcript, target_lang)
 
         # FINAL STEP: Ensure the output audio is high-quality MP3
-        # We use ffmpeg to convert the processed WAV from Cleanvoice to MP3
         final_mp3_path = os.path.join(output_dir, "ClearWave_Final.mp3")
         
         subprocess.run([
             "ffmpeg", "-y", "-i", denoise_result['audio_path'],
             "-codec:a", "libmp3lame", 
-            "-qscale:a", "2", # High quality VBR
+            "-qscale:a", "2", 
             final_mp3_path
         ], capture_output=True, check=True)
 
@@ -74,11 +70,11 @@ def run_pipeline(audio_input, remove_fillers, remove_stutters, remove_silences,
         return None, f"Error: {str(e)}", ""
 
 # ══════════════════════════════════════════════════════════════════
-# GRADIO UI ARCHITECTURE
+# GRADIO UI ARCHITECTURE (Gradio 6.0 Optimized)
 # ══════════════════════════════════════════════════════════════════
-with gr.Blocks(theme=gr.themes.Soft(), title="ClearWave AI Studio") as demo:
+with gr.Blocks(title="ClearWave AI Studio") as demo:
     gr.Markdown("# 🎙️ ClearWave AI Studio")
-    gr.Markdown("Transform raw recordings into studio-quality MP3s with automated transcription and translation.")
+    gr.Markdown("Transform raw recordings into studio-quality MP3s.")
     
     with gr.Row():
         with gr.Column(scale=1):
@@ -86,7 +82,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="ClearWave AI Studio") as demo:
             
             with gr.Group():
                 gr.Markdown("### 🛠️ Audio Cleaning Settings")
-                f_check = gr.Checkbox(label="Remove Fillers (um, ah)", value=True)
+                f_check = gr.Checkbox(label="Remove Fillers", value=True)
                 s_check = gr.Checkbox(label="Remove Stutters", value=True)
                 z_check = gr.Checkbox(label="Remove Long Silences", value=True)
                 b_check = gr.Checkbox(label="Remove Breaths", value=True)
@@ -102,8 +98,10 @@ with gr.Blocks(theme=gr.themes.Soft(), title="ClearWave AI Studio") as demo:
 
         with gr.Column(scale=1):
             audio_output = gr.Audio(label="Cleaned Audio (MP3)", type="filepath")
-            transcript_output = gr.Textbox(label="Cleaned Transcript", lines=5, show_copy_button=True)
-            translation_output = gr.Textbox(label="Translation", lines=5, show_copy_button=True)
+            # In Gradio 6.0, copy button is enabled via 'show_copy_button' in some versions, 
+            # but if it fails, we use the standard Textbox
+            transcript_output = gr.Textbox(label="Cleaned Transcript", lines=5)
+            translation_output = gr.Textbox(label="Translation", lines=5)
 
     process_btn.click(
         fn=run_pipeline,
@@ -112,4 +110,5 @@ with gr.Blocks(theme=gr.themes.Soft(), title="ClearWave AI Studio") as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    # Theme is now passed here in Gradio 6.0
+    demo.launch(theme=gr.themes.Soft())