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d18a9915f9
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7719cf429d
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7719cf429d
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d7f783834f
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@@ -1,6 +1,6 @@
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[project]
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name = "pyvtt"
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version = "0.3.2"
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version = "0.3.3"
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description = "Python Voice to Text + LLMA"
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authors = [{ name = "Max P.", email = "Mail@MPassarello.de" }]
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license = { text = "MIT" }
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@@ -96,7 +96,7 @@ class WhisperWorker(QThread):
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print("Kein Ollama Prompt angegeben, nur Whisper Ergebnis verwendet.")
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# Ergebnis ins Clipboard kopieren
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if CURRENT_PRESET["mode"] == "journal":
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if CURRENT_PRESET.get("mode") == "journal":
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today = datetime.date.today().strftime("%Y.%m.%d")
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journal_path = os.path.join(CONFIGURATION["journal_path"], f"{today} - {CURRENT_PRESET['journal_name']}.md")
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now = datetime.datetime.now().strftime("%H:%M:%S")
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