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from openai import OpenAI
import os
import requests
import json
from dotenv import load_dotenv
load_dotenv()
gpt_client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
def predict_gpt(prompt):
response = gpt_client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": prompt}])
text_response = response.choices[0].message.content
return text_response
def predict_deepseek(prompt):
try:
url = "https://api.deepseek.com/v1/chat/completions"
payload = json.dumps({
"messages":[{"role": "user", "content": prompt}],
"model": "deepseek-coder",
"max_tokens": 1000,
"temperature": 0.1,
})
os.environ.get("DEEPSEEK_API_KEY")
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'Authorization': f'Bearer {os.environ.get("DEEPSEEK_API_KEY")}'
}
response = requests.request("POST", url, headers=headers, data=payload).text
response = json.loads(response)
return response['choices'][0]['message']['content']
except Exception as e:
raise Exception("Error generating: ",e) from e |