Fix flagging_mode typo in Gradio interface components

app.py

@@ -200,7 +200,7 @@ output_format = gr.Dropdown(choices=["mkv", "MOV", "mp4", "wav"], label="Select
 start_time = gr.Textbox(label="Start time (in seconds or HH:MM:SS). Leave blank to start at beginning.")
 end_time = gr.Textbox(label="End time (in seconds or HH:MM:SS). Leave blank to trim a 5-minute interval since start.")
 output_file = gr.File(label="Download trimmed file")
-interface = gr.Interface(fn=trim_video, inputs=[input_file, output_format, start_time, end_time], outputs=output_file, title="Video Trimmer", flagging_modeging="never",
+interface = gr.Interface(fn=trim_video, inputs=[input_file, output_format, start_time, end_time], outputs=output_file, title="Video Trimmer", flagging_mode="never",
                         description="Trim a video file to a specific time interval. Please wait for the file to upload before clicking the 'Submit' button.")
 
 # gr components for video converter
@@ -208,14 +208,14 @@ input_file_c = gr.File(label="Select video file")
 output_format_c = gr.Dropdown(choices=["mkv", "MOV", "mp4", "wav"], label="Select output format", value="mp4",)
 output_file_c = gr.File(label="Download converted file")
 
-interface_c = gr.Interface(fn=convert_video, inputs=[input_file_c, output_format_c], outputs=output_file_c, title="Video Converter", flagging_modeging="never",
+interface_c = gr.Interface(fn=convert_video, inputs=[input_file_c, output_format_c], outputs=output_file_c, title="Video Converter", flagging_mode="never",
                             description="Convert a video file to a different format. Please wait for the file to upload before clicking the 'Submit' button.")
 
 
 # gr components for transcript sorter
 input_file_s = gr.File(label="Select transcript file")
 output_file_s = gr.File(label="Download sorted transcript")
-interface_s = gr.Interface(fn=sort_transcript_wrapper, inputs=input_file_s, outputs=output_file_s, title="Transcript Sorter", flagging_modeging="never",
+interface_s = gr.Interface(fn=sort_transcript_wrapper, inputs=input_file_s, outputs=output_file_s, title="Transcript Sorter", flagging_mode="never",
                             description="Sort a transcript file by time. Please wait for the file to upload before clicking the 'Submit' button.")
 
 
@@ -227,7 +227,7 @@ output_format_vtr = gr.Dropdown(choices=["mkv", "MOV", "mp4", "wav"], label="Sel
 output_file_vtr = gr.File(label="Download trimmed file")
 log_file_vtr = gr.File(label="Download log file")
 interface_vtr = gr.Interface(fn=trim_video_vtr, inputs=[input_file_vtr, output_format_vtr], 
-                            outputs=[output_file_vtr, log_file_vtr], flagging_modeging="never", 
+                            outputs=[output_file_vtr, log_file_vtr], flagging_mode="never", 
                             title="Video Trimmer with Random Start Time", 
                             description="This app trims a 10-minute interval from a video file. \
                                         The start time is randomly selected between 5 and 15 minutes. \
@@ -243,7 +243,7 @@ end_time_wt = gr.Textbox(label="End time (in seconds or HH:MM:SS). Leave blank t
 output_file_wt = gr.File(label="Download trimmed file")
 output_transcript_wt = gr.File(label="Download trimmed transcript")
 interface_wt = gr.Interface(fn=trim_video_wt, inputs=[input_file_wt, input_transcript_wt, output_format_wt, start_time_wt, end_time_wt], 
-                            outputs=[output_file_wt, output_transcript_wt], title="Video Trimmer with transcript converted", flagging_modeging="never",
+                            outputs=[output_file_wt, output_transcript_wt], title="Video Trimmer with transcript converted", flagging_mode="never",
                             description="Trim a video file to a specific time interval with transcript format converted. Please wait for the file to upload before clicking the 'Submit' button. \n\
                                         This transcript should be .xlsx files from Happyscribe (an external transcription service). The columns in the file are as follows: \n\
                                         `#`: an integer index over utterances. \n\