from ollama import chat
from ollama import ChatResponse
import os

paring=open("paringviip.txt", encoding="utf-8").read()
fnimed=os.listdir("kultuurivalik")
fnimed.sort()
#response: ChatResponse = chat(model='gpt-oss:20b', messages=[
#response: ChatResponse = chat(model='qwen3-vl:32b', messages=[
for fnimi in fnimed:
 print(fnimi)
 sisu=paring+"\n"+open("kultuurivalik/"+fnimi, encoding="utf-8").read()
 response: ChatResponse = chat(model='gemma4', messages=[
  {
    'role': 'user',
    'content': sisu,
  },
 ])
 with open("unescovastused1/"+fnimi, "w", encoding="utf8") as f2:
    print(response['message']['content'], file=f2)
# or access fields directly from the response object
#print(response.message.content)