59 lines
1.3 KiB
Python
59 lines
1.3 KiB
Python
from celery import shared_task
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from .models import Track
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import dotenv
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import os
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import requests
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import time
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import json
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from random import choice
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dotenv.load_dotenv()
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@shared_task
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def get_banter(id):
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track = Track.objects.get(pk=id)
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r = requests.post(
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os.getenv('AI_ENDPOINT'),
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#'http://localhost:11434/api/generate',
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json={
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'model': os.getenv('AI_MODEL'),
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'prompt': str(track)
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},
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stream=True
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)
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r.raise_for_status()
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for line in r.iter_lines():
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body = json.loads(line)
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response_part = body.get('response', '')
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# the response streams one token at a time, print that as we receive it
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print(response_part, end='', flush=True)
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track.banter += response_part
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track.save()
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if 'error' in body:
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raise Exception(body['error'])
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if body.get('done', False):
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track.banter_done = True
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track.save()
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return body['context']
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@shared_task
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def get_banter_test(id):
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letters = ["a","b","c","d","e","q","w", " "]
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track = Track.objects.get(pk=id)
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time.sleep(20)
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track.banter = "Lorem "
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track.save()
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time.sleep(.5)
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for i in range(100):
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track.banter += choice(letters)
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track.save()
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time.sleep(.3)
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track.banter_done = True
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track.save()
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