feat: Ollama und Modell vor dem Start prüfen, kurze Meldung statt Traceback

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

glossar_vorschlag.py

@@ -9,11 +9,11 @@ import hashlib
 import io
 import json
 import re
-import urllib.request
 
 from aenderungen import compare, read_raw
 from rede_korrigieren import (
-    MODEL, apply_replacements, chat_request, read_glossary, split_chunks,
+    MODEL, apply_replacements, chat_request, check_ollama, ollama_open, read_glossary,
+    split_chunks,
 )
 
 SYSTEM = """Du suchst Hörfehler in der automatischen Abschrift einer deutschen Rede.
@@ -77,7 +77,7 @@ def suggest_chunk(chunk, model):
         ],
         "options": {"temperature": 0, "num_ctx": 16384, "num_predict": 4096},
     }
-    with urllib.request.urlopen(chat_request(payload), timeout=600) as response:
+    with ollama_open(chat_request(payload)) as response:
         result = json.load(response)
     try:
         entries = json.loads(result["message"]["content"])["eintraege"]
@@ -227,6 +227,7 @@ def main():
     with redirect_stdout(io.StringIO()):
         text = apply_replacements(text, replacements)
 
+    check_ollama(args.model)
     cache_dir = args.output.with_suffix(".parts")
     cache_dir.mkdir(parents=True, exist_ok=True)
     suggestions = model_suggestions(text, args.model, cache_dir, known)