update transcription

transcribe_all.py

@@ -139,21 +139,21 @@ def process_file(file_path, model, audio_input):
     Transcribe the audio file into one markdown file.
     If special case (German sermon in Russian or Russian-marked file), transcribe both in Russian and German into the same file.
     """
-    file_name = os.path.basename(file_path)
+    # file_name = os.path.basename(file_path)
 
-    # Detect spoken language
-    detected = detect_language(model, audio_input)
+    # # Detect spoken language
+    # detected = detect_language(model, audio_input)
 
-    # Determine which languages to transcribe
-    if (detected == 'ru' and 'predigt' in file_name.lower()) or \
-       (detected == 'de' and 'russisch' in file_name.lower()):
-        langs = ['de', 'ru']
-    elif detected == 'en':  # songs often mis-detected as English
-        langs = ['de']
-    elif detected in ('de', 'ru'):
-        langs = [detected]
-    else:
-        langs = ['ru']
+    # # Determine which languages to transcribe
+    # if (detected == 'ru' and 'predigt' in file_name.lower()) or \
+    #    (detected == 'de' and 'russisch' in file_name.lower()):
+    #     langs = ['de', 'ru']
+    # elif detected == 'en':  # songs often mis-detected as English
+    #     langs = ['de']
+    # elif detected in ('de', 'ru'):
+    #     langs = [detected]
+    # else:
+    langs = ['de', 'ru', 'en']
 
     # Collect segments for combined result
     lang_collection = {}

transcribe_single_file.py

@@ -129,13 +129,38 @@ def process_file(file_path, model, audio_input, language=None, postfix=None):
 
 
 if __name__ == "__main__":
-    if len(sys.argv) != 2:
-        print("Usage: python transcribe_all.py <file>")
+    # Folder where your audio/video files are stored
+    input_folder = "transcribe_single"
+
+    # Check if folder exists
+    if not os.path.isdir(input_folder):
+        print(f"Error: Folder '{input_folder}' not found.")
         sys.exit(1)
-    
-    file_name_path = sys.argv[1]
-    
-    print("Loading Whisper model...")
-    model = whisper.load_model(model_name, device="cuda")
-    audio = whisper.load_audio(file_name_path)
-    process_file(file_name_path, model, audio, "de")
+
+    # List all supported file types
+    supported_ext = (".mp3", ".wav", ".m4a", ".mp4", ".mov", ".flac", ".ogg")
+    files = [
+        os.path.join(input_folder, f)
+        for f in os.listdir(input_folder)
+        if f.lower().endswith(supported_ext)
+    ]
+
+    if not files:
+        print(f"No audio/video files found in '{input_folder}'.")
+        sys.exit(1)
+
+    print(f"Found {len(files)} file(s) in '{input_folder}':")
+    for f in files:
+        print(f" - {f}")
+
+    print("\nLoading Whisper model...")
+    model = whisper.load_model(model_name, device="cuda")  # or "cpu" if no GPU
+
+    # Process each file one by one
+    for file_path in files:
+        try:
+            audio = whisper.load_audio(file_path)
+            process_file(file_path, model, audio, "de")  # or None to auto-detect language
+        except Exception as e:
+            print(f"Error processing {file_path}: {e}")
+