Spaces:
Sleeping
Sleeping
edited delete function
Browse files
app.py
CHANGED
|
@@ -1,10 +1,22 @@
|
|
| 1 |
import os
|
|
|
|
|
|
|
|
|
|
| 2 |
|
| 3 |
import gradio as gr
|
| 4 |
|
| 5 |
-
from
|
|
|
|
|
|
|
| 6 |
|
| 7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
|
| 9 |
def trim_video_wt(input_file, input_transcript, output_format, start_time, end_time):
|
| 10 |
# trim video with transcript
|
|
@@ -32,6 +44,12 @@ def trim_video_wt(input_file, input_transcript, output_format, start_time, end_t
|
|
| 32 |
transcript_name = f"{Path(input_transcript.name).stem.partition('.')[0]}_trimmed.tsv"
|
| 33 |
transcript_file = os.path.join(output_folder, transcript_name)
|
| 34 |
table_to_ELAN_tsv(table, transcript_file)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
return output_file, transcript_file
|
| 36 |
except Exception as e:
|
| 37 |
return f"Error: {str(e)}"
|
|
@@ -54,7 +72,12 @@ def trim_video(input_file, output_format, start_time, end_time):
|
|
| 54 |
# Trim the video
|
| 55 |
print("start trimming")
|
| 56 |
output_file = trim_media(input_file.name, output_file, start_time, end_time)
|
| 57 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 58 |
return output_file
|
| 59 |
except Exception as e:
|
| 60 |
return f"Error: {str(e)}"
|
|
@@ -74,6 +97,11 @@ def convert_video(input_file, output_format):
|
|
| 74 |
print("start converting")
|
| 75 |
output_file = convert_video_format(input_file.name, output_file)
|
| 76 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 77 |
return output_file
|
| 78 |
except Exception as e:
|
| 79 |
return f"Error: {str(e)}"
|
|
|
|
| 1 |
import os
|
| 2 |
+
import threading
|
| 3 |
+
import time
|
| 4 |
+
from pathlib import Path
|
| 5 |
|
| 6 |
import gradio as gr
|
| 7 |
|
| 8 |
+
from utlis import (HHMMSS_to_sec, convert_video_format, molly_xlsx_to_table,
|
| 9 |
+
table_to_ELAN_tsv, trim_media)
|
| 10 |
+
|
| 11 |
|
| 12 |
+
def delete_files(files):
|
| 13 |
+
time.sleep(300)
|
| 14 |
+
for file in files:
|
| 15 |
+
try:
|
| 16 |
+
os.remove(file)
|
| 17 |
+
except FileNotFoundError:
|
| 18 |
+
pass
|
| 19 |
+
print("files deleted")
|
| 20 |
|
| 21 |
def trim_video_wt(input_file, input_transcript, output_format, start_time, end_time):
|
| 22 |
# trim video with transcript
|
|
|
|
| 44 |
transcript_name = f"{Path(input_transcript.name).stem.partition('.')[0]}_trimmed.tsv"
|
| 45 |
transcript_file = os.path.join(output_folder, transcript_name)
|
| 46 |
table_to_ELAN_tsv(table, transcript_file)
|
| 47 |
+
|
| 48 |
+
# remove file after 10 minutes for security
|
| 49 |
+
print("start deleting files")
|
| 50 |
+
path_to_delete = [input_file.name, input_transcript.name, output_file, transcript_file]
|
| 51 |
+
threading.Thread(target=delete_files, args=([path_to_delete])).start()
|
| 52 |
+
|
| 53 |
return output_file, transcript_file
|
| 54 |
except Exception as e:
|
| 55 |
return f"Error: {str(e)}"
|
|
|
|
| 72 |
# Trim the video
|
| 73 |
print("start trimming")
|
| 74 |
output_file = trim_media(input_file.name, output_file, start_time, end_time)
|
| 75 |
+
|
| 76 |
+
# remove file after 10 minutes for security
|
| 77 |
+
print("start deleting files")
|
| 78 |
+
path_to_delete = [input_file.name, output_file]
|
| 79 |
+
threading.Thread(target=delete_files, args=([path_to_delete])).start()
|
| 80 |
+
|
| 81 |
return output_file
|
| 82 |
except Exception as e:
|
| 83 |
return f"Error: {str(e)}"
|
|
|
|
| 97 |
print("start converting")
|
| 98 |
output_file = convert_video_format(input_file.name, output_file)
|
| 99 |
|
| 100 |
+
# remove file after 10 minutes for security
|
| 101 |
+
print("start deleting files")
|
| 102 |
+
path_to_delete = [input_file.name, output_file]
|
| 103 |
+
threading.Thread(target=delete_files, args=([path_to_delete])).start()
|
| 104 |
+
|
| 105 |
return output_file
|
| 106 |
except Exception as e:
|
| 107 |
return f"Error: {str(e)}"
|
utlis.py
CHANGED
|
@@ -6,6 +6,7 @@ from pathlib import Path
|
|
| 6 |
|
| 7 |
import pandas as pd
|
| 8 |
|
|
|
|
| 9 |
def convert_video_format(media_in, media_out):
|
| 10 |
WAV_CHANNELS = 1
|
| 11 |
WAV_SAMPLE_RATE = 16000
|
|
|
|
| 6 |
|
| 7 |
import pandas as pd
|
| 8 |
|
| 9 |
+
|
| 10 |
def convert_video_format(media_in, media_out):
|
| 11 |
WAV_CHANNELS = 1
|
| 12 |
WAV_SAMPLE_RATE = 16000
|