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@ -8,29 +8,25 @@ from langchain.utils import get_from_dict_or_env
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class DallEAPIWrapper(BaseModel):
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"""Wrapper for OpenAI's DALL-E Image Generator.
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Docs for using:
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1. pip install openai
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Usage instructions:
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1. `pip install openai`
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2. save your OPENAI_API_KEY in an environment variable
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"""
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client: Any #: :meta private:
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openai_api_key: Optional[str] = None
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"""number of images to generate"""
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n: int = 1
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"""size of image to generate"""
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"""Number of images to generate"""
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size: str = "1024x1024"
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"""Size of image to generate"""
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separator: str = "\n"
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"""Separator to use when multiple URLs are returned."""
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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def _dalle_image_url(self, prompt: str) -> str:
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params = {"prompt": prompt, "n": self.n, "size": self.size}
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response = self.client.create(**params)
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return response["data"][0]["url"]
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key and python package exists in environment."""
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@ -42,19 +38,15 @@ class DallEAPIWrapper(BaseModel):
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openai.api_key = openai_api_key
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values["client"] = openai.Image
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except ImportError:
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raise ValueError(
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except ImportError as e:
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raise ImportError(
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"Could not import openai python package. "
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"Please it install it with `pip install openai`."
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)
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) from e
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return values
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def run(self, query: str) -> str:
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"""Run query through OpenAI and parse result."""
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image_url = self._dalle_image_url(query)
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if image_url is None or image_url == "":
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# We don't want to return the assumption alone if answer is empty
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return "No image was generated"
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else:
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return image_url
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response = self.client.create(prompt=query, n=self.n, size=self.size)
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image_urls = self.separator.join([item["url"] for item in response["data"]])
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return image_urls if image_urls else "No image was generated"
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