Update app.py

app.py

@@ -11,7 +11,6 @@ import stat
 import uuid
 import subprocess
 
-
 ZipFile("ffmpeg.zip").extractall()
 st = os.stat('ffmpeg')
 os.chmod('ffmpeg', st.st_mode | stat.S_IEXEC)
@@ -25,19 +24,19 @@ whisper_model = WhisperModel("large-v2", device="cuda", compute_type="float16")
 
 def process_video(Video, target_language):
     print("Iniciando process_video")
-
+    common_uuid = uuid.uuid4()
     print("Checking FFmpeg availability...")
     run(["ffmpeg", "-version"])
 
     
-    audio_file = f"{uuid.uuid4()}.wav"
+    audio_file = f"{common_uuid}.wav"
     run(["ffmpeg", "-i", Video, audio_file])
     
     # Transcription with Whisper.
     print("Iniciando transcrição com Whisper")
     segments, _ = whisper_model.transcribe(audio_file, beam_size=5)
     segments = list(segments)
-    transcript_file = f"{uuid.uuid4()}.srt"
+    transcript_file = f"{common_uuid}.srt"
     
     # Create a list to hold the translated lines.
     translated_lines = []
@@ -81,7 +80,7 @@ def process_video(Video, target_language):
         # Write the translated lines back into the original file.
         f.writelines(translated_lines)
 
-    output_video = "output_video.mp4"
+    output_video = f"{common_uuid}_output_video.mp4"
     # Debugging: Validate FFmpeg command for subtitle embedding
     print("Validating FFmpeg command for subtitle embedding...")
     print(f"Translated SRT file: {transcript_file}")
@@ -105,7 +104,7 @@ def process_video(Video, target_language):
     print("process_video concluído com sucesso")
     os.unlink(audio_file)
     os.unlink(transcript_file)
-    os.unlink(translated_file)
+    
     return output_video
 
 iface = gr.Interface(