return to gr.interface fix

app.py

@@ -7,49 +7,42 @@ def main():
         gr.Markdown('An automatic speech recognition tool using [faster-whisper](https://github.com/SYSTRAN/faster-whisper). Supports multilingual video transcription and translation to english. Users may set the max words per line.')
         with gr.Tabs(selected="video") as tabs:
             with gr.Tab("Video", id="video"):
-                with gr.Row():
-                    with gr.Column():
-                        file = gr.File(file_types=["video"],type="filepath", label="Upload a video")
-                        file_type = gr.Radio(choices=["video"], value="video", 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")
-                        transcribe_btn = gr.Button(value="Transcribe", variant="primary")
-                    with gr.Column():
-                        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")
+                video = True
+                file = gr.File(file_types=["video"],type="filepath", label="Upload a video")
+                file_type = gr.Radio(choices=["video"], value="video", 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"
                 )
-                
             with gr.Tab("Audio", id = "audio"):
-                with gr.Row():
-                    with gr.Column():
-                        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")
-                        transcribe_btn = gr.Button(value="Transcribe", variant="primary")
-                    with gr.Column():
-                        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()