I think the issues I've encountered are a combination of Ollama models and Anime Whisper issues.
1) OIlama / Local models are going to have a lot more difficulty keeping up with prompts that have a lot of conditions, and are more likely to answer with "Sure! Let me translate X" which I think fails validation?
2) Anime Whisper often will have silent lines that are just "..." or something really small and short, which also leads to failed validation.
Probably some additional settings would be needed to make the flow work. Either do different prompts for Ollama, or let the user edit it, and/or do some cleaning of lines that are only punctuation.
I am getting decent results now using Whisper JAV for the transcription and then SubtitleEdit with Ollama to do the translation, using translategemma:4b. But this misses out on the really use Scene summaries that Whisper JAV generates.
1) OIlama / Local models are going to have a lot more difficulty keeping up with prompts that have a lot of conditions, and are more likely to answer with "Sure! Let me translate X" which I think fails validation?
2) Anime Whisper often will have silent lines that are just "..." or something really small and short, which also leads to failed validation.
Probably some additional settings would be needed to make the flow work. Either do different prompts for Ollama, or let the user edit it, and/or do some cleaning of lines that are only punctuation.
I am getting decent results now using Whisper JAV for the transcription and then SubtitleEdit with Ollama to do the translation, using translategemma:4b. But this misses out on the really use Scene summaries that Whisper JAV generates.
