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import os
from dotenv import load_dotenv
import openai
class OpenAiManager:
def __init__(self):
load_dotenv()
openai.api_key = os.getenv("OPENAI_API_KEY")
openai.organization = os.getenv("OPENAI_ORGANIZATION")
def get_completion(
self,
prompt,
model="text-davinci-003",
max_tokens=128,
temperature=0,
):
response = None
try:
response = openai.Completion.create(
prompt=prompt,
max_tokens=max_tokens,
model=model,
temperature=temperature,
)["choices"][0]["text"]
except Exception as err:
print(f"Sorry, There was a problem \n\n {err}")
return response
def get_chat_completion(self, prompt, model="gpt-3.5-turbo"):
response = None
try:
response = (
openai.ChatCompletion.create(
model=model,
messages=[
{
"role": "system",
"content": prompt,
}
],
)
.choices[0]
.message.content.strip()
)
except Exception as err:
print(f"Sorry, There was a problem \n\n {err}")
return response
def get_embedding(self, prompt, model="text-embedding-ada-002"):
prompt = prompt.replace("\n", " ")
embedding = None
try:
embedding = openai.Embedding.create(input=[prompt], model=model)["data"][0][
"embedding"
]
except Exception as err:
print(f"Sorry, There was a problem {err}")
return embedding
def get_embeddings(self, prompts, model="text-embedding-ada-002"):
prompts = [prompt.replace("\n", " ") for prompt in prompts]
embeddings = None
try:
embeddings = openai.Embedding.create(input=prompts, model=model)["data"]
except Exception as err:
print(f"Sorry, There was a problem {err}")
return [embedding["embedding"] for embedding in embeddings]
def shots(self, examples, keywords):
prompt = []
for example in examples:
prompt.append(
f"""
keywords: {example.payload["keywords"]}
script: {example.payload["example"]}
"""
)
prompt.append(
f"""
keywords: {keywords}
script:
"""
)
prompt = "\n\n".join(prompt)
return self.get_chat_completion(prompt=prompt)
openai_manager = OpenAiManager()
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