fix indent alignment

app.py

@@ -25,24 +25,24 @@ def main():
                     allow_flagging="never"
                 )
             with gr.Tab("Audio", id = "audio"):
-                    video = False
-                    file = gr.File(file_types=["audio"],type="filepath", label="Upload an audio file")
-                    file_type = gr.Radio(choices=["audio"], value="audio", label="File Type", visible=False)
-                    max_words_per_line = gr.Number(value=6, label="Max words per line")
-                    task = gr.Radio(choices=["transcribe", "translate"], value="transcribe", label="Select Task")
-                    model_version = gr.Radio(choices=["deepdml/faster-whisper-large-v3-turbo-ct2",
-                                                    "turbo",
-                                                    "large-v3"], value="deepdml/faster-whisper-large-v3-turbo-ct2", label="Select Model")
-                    text_output = gr.Textbox(label="SRT Text transcription")
-                    srt_file = gr.File(value=None, file_count="single", type="filepath", file_types=[".srt"], label="SRT file")
-                    text_clean_output = gr.Textbox(label="Text transcription")
-                    gr.Interface(
-                        fn=transcriber,
-                        inputs=[file, file_type, max_words_per_line, task, model_version],
-                        outputs=[text_output, srt_file, text_clean_output],
-                        allow_flagging="never"
-                    )    
-    demo.launch()
+                video = False
+                file = gr.File(file_types=["audio"],type="filepath", label="Upload an audio file")
+                file_type = gr.Radio(choices=["audio"], value="audio", label="File Type", visible=False)
+                max_words_per_line = gr.Number(value=6, label="Max words per line")
+                task = gr.Radio(choices=["transcribe", "translate"], value="transcribe", label="Select Task")
+                model_version = gr.Radio(choices=["deepdml/faster-whisper-large-v3-turbo-ct2",
+                                                "turbo",
+                                                "large-v3"], value="deepdml/faster-whisper-large-v3-turbo-ct2", label="Select Model")
+                text_output = gr.Textbox(label="SRT Text transcription")
+                srt_file = gr.File(value=None, file_count="single", type="filepath", file_types=[".srt"], label="SRT file")
+                text_clean_output = gr.Textbox(label="Text transcription")
+                gr.Interface(
+                    fn=transcriber,
+                    inputs=[file, file_type, max_words_per_line, task, model_version],
+                    outputs=[text_output, srt_file, text_clean_output],
+                    allow_flagging="never"
+                )    
+        demo.launch()
 
 if __name__ == '__main__':
     main()