Using medium model

app.py

@@ -35,8 +35,9 @@ def transcribe(audio):
 
 
     
-    command = rf"""wine './whisper_blas_bin_v1_3_0/main.exe' -m './whisper_blas_bin_v1_3_0/models/ggml-model-whisper-small.en.bin' -osrt -f '{temp_audio_path}' -nt"""  # English only
+    # command = rf"""wine './whisper_blas_bin_v1_3_0/main.exe' -m './whisper_blas_bin_v1_3_0/models/ggml-model-whisper-small.en.bin' -osrt -f '{temp_audio_path}' -nt"""  # English only
     # command = rf"""wine './whisper_blas_bin_v1_3_0/main.exe' -m './whisper_blas_bin_v1_3_0/models/ggml-model-whisper-base.bin' -osrt -f '{temp_audio_path}' -nt"""    # Multilingual
+    command = rf"""wine './whisper_blas_bin_v1_3_0/main.exe' -m './whisper_blas_bin_v1_3_0/models/ggml-model-whisper-medium-q5_0.bin' -osrt -f '{temp_audio_path}' -nt"""    # Multilingual
     
     start_time = time.time()
     result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)