mirror of
https://github.com/hwchase17/langchain
synced 2024-11-04 06:00:26 +00:00
a79345f199
#16396 Fixed 1. golden_query 2. google_lens 3. memorize 4. merriam_webster 5. open_weather_map 6. pub_med 7. stack_exchange 8. generate_image 9. wikipedia
114 lines
3.3 KiB
Python
114 lines
3.3 KiB
Python
"""This tool allows agents to generate images using Steamship.
|
|
|
|
Steamship offers access to different third party image generation APIs
|
|
using a single API key.
|
|
|
|
Today the following models are supported:
|
|
- Dall-E
|
|
- Stable Diffusion
|
|
|
|
To use this tool, you must first set as environment variables:
|
|
STEAMSHIP_API_KEY
|
|
```
|
|
"""
|
|
from __future__ import annotations
|
|
|
|
from enum import Enum
|
|
from typing import TYPE_CHECKING, Dict, Optional
|
|
|
|
from langchain_core.callbacks import CallbackManagerForToolRun
|
|
from langchain_core.pydantic_v1 import root_validator
|
|
from langchain_core.utils import get_from_dict_or_env
|
|
|
|
from langchain_community.tools import BaseTool
|
|
from langchain_community.tools.steamship_image_generation.utils import make_image_public
|
|
|
|
if TYPE_CHECKING:
|
|
from steamship import Steamship
|
|
|
|
|
|
class ModelName(str, Enum):
|
|
"""Supported Image Models for generation."""
|
|
|
|
DALL_E = "dall-e"
|
|
STABLE_DIFFUSION = "stable-diffusion"
|
|
|
|
|
|
SUPPORTED_IMAGE_SIZES = {
|
|
ModelName.DALL_E: ("256x256", "512x512", "1024x1024"),
|
|
ModelName.STABLE_DIFFUSION: ("512x512", "768x768"),
|
|
}
|
|
|
|
|
|
class SteamshipImageGenerationTool(BaseTool):
|
|
|
|
"""Tool used to generate images from a text-prompt."""
|
|
|
|
model_name: ModelName
|
|
size: Optional[str] = "512x512"
|
|
steamship: Steamship
|
|
return_urls: Optional[bool] = False
|
|
|
|
name: str = "generate_image"
|
|
description: str = (
|
|
"Useful for when you need to generate an image."
|
|
"Input: A detailed text-2-image prompt describing an image"
|
|
"Output: the UUID of a generated image"
|
|
)
|
|
|
|
@root_validator(pre=True)
|
|
def validate_size(cls, values: Dict) -> Dict:
|
|
if "size" in values:
|
|
size = values["size"]
|
|
model_name = values["model_name"]
|
|
if size not in SUPPORTED_IMAGE_SIZES[model_name]:
|
|
raise RuntimeError(f"size {size} is not supported by {model_name}")
|
|
|
|
return values
|
|
|
|
@root_validator(pre=True)
|
|
def validate_environment(cls, values: Dict) -> Dict:
|
|
"""Validate that api key and python package exists in environment."""
|
|
steamship_api_key = get_from_dict_or_env(
|
|
values, "steamship_api_key", "STEAMSHIP_API_KEY"
|
|
)
|
|
|
|
try:
|
|
from steamship import Steamship
|
|
except ImportError:
|
|
raise ImportError(
|
|
"steamship is not installed. "
|
|
"Please install it with `pip install steamship`"
|
|
)
|
|
|
|
steamship = Steamship(
|
|
api_key=steamship_api_key,
|
|
)
|
|
values["steamship"] = steamship
|
|
if "steamship_api_key" in values:
|
|
del values["steamship_api_key"]
|
|
|
|
return values
|
|
|
|
def _run(
|
|
self,
|
|
query: str,
|
|
run_manager: Optional[CallbackManagerForToolRun] = None,
|
|
) -> str:
|
|
"""Use the tool."""
|
|
|
|
image_generator = self.steamship.use_plugin(
|
|
plugin_handle=self.model_name.value, config={"n": 1, "size": self.size}
|
|
)
|
|
|
|
task = image_generator.generate(text=query, append_output_to_file=True)
|
|
task.wait()
|
|
blocks = task.output.blocks
|
|
if len(blocks) > 0:
|
|
if self.return_urls:
|
|
return make_image_public(self.steamship, blocks[0])
|
|
else:
|
|
return blocks[0].id
|
|
|
|
raise RuntimeError(f"[{self.name}] Tool unable to generate image!")
|