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import requests
class Completion:
def create(prompt: str,
model: str = 'openai:gpt-3.5-turbo',
temperature: float = 0.7,
max_tokens: int = 200,
top_p: float = 1,
top_k: int = 1,
frequency_penalty: float = 1,
presence_penalty: float = 1,
stopSequences: list = []):
token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
'authority': 'play.vercel.ai',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'referer': 'https://play.vercel.ai/',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'}).text.replace('=','')
print(token)
headers = {
'authority': 'play.vercel.ai',
'custom-encoding': token,
'origin': 'https://play.vercel.ai',
'referer': 'https://play.vercel.ai/',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
}
for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
'prompt': prompt,
'model': model,
'temperature': temperature,
'maxTokens': max_tokens,
'topK': top_p,
'topP': top_k,
'frequencyPenalty': frequency_penalty,
'presencePenalty': presence_penalty,
'stopSequences': stopSequences}).iter_lines():
yield (chunk)
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