Update app.py

app.py

@@ -58,26 +58,27 @@ def process_video(Video, target_language):
     with open(transcript_file, "w+", encoding="utf-8") as f:
         counter = 1
         for line in transcript_with_timestamps:
-            # Extract timestamp and word from the line
-            timestamp, word = re.match(r"\[(.*?)s -> (.*?)s\] (.*)", line).groups()
-            start_time, end_time = timestamp.split(' -> ')
+            # Use a regular expression to extract timestamp and word from the line
+            match = re.match(r"\[(.*?)s -> (.*?)s\] (.*)", line)
+            if match:
+                start_time, end_time, word = match.groups()
     
-            # Convert timestamps to SRT format
-            formatted_start = str(datetime.timedelta(seconds=float(start_time)))
-            formatted_end = str(datetime.timedelta(seconds=float(end_time)))
-    
-            # Write to SRT file
-            f.write(f"{counter}\n")
-            f.write(f"{formatted_start} --> {formatted_end}\n")
-            f.write(f"{word}\n\n")
-            counter += 1
-
-
+                # Convert timestamps to SRT format
+                formatted_start = str(datetime.timedelta(seconds=float(start_time)))
+                formatted_end = str(datetime.timedelta(seconds=float(end_time)))
     
+                # Write to SRT file
+                f.write(f"{counter}\n")
+                f.write(f"{formatted_start} --> {formatted_end}\n")
+                f.write(f"{word}\n\n")
+                counter += 1
+            else:
+                # Handle the case where the line does not match the pattern
+                print(f"Line does not match expected format: {line}")
         # Move the file pointer to the beginning of the file.
         f.seek(0)
     
-        # Translating the SRT from Whisper with NLLB.
+        # Translating the SRT from Whisper with Google Translate.
         target_language_code = google_lang_codes.get(target_language, "en")
         paragraph = ""
         for line in f: