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https://github.com/aljazceru/Auto-GPT.git
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100 lines
2.5 KiB
Python
100 lines
2.5 KiB
Python
""" Image Generation Module for AutoGPT."""
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import io
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import uuid
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from base64 import b64decode
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import openai
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import requests
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from PIL import Image
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from autogpt.commands.command import command
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from autogpt.config import Config
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from autogpt.workspace import path_in_workspace
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CFG = Config()
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@command("generate_image", "Generate Image", '"prompt": "<prompt>"', CFG.image_provider)
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def generate_image(prompt: str) -> str:
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"""Generate an image from a prompt.
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Args:
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prompt (str): The prompt to use
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Returns:
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str: The filename of the image
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"""
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filename = f"{str(uuid.uuid4())}.jpg"
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# DALL-E
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if CFG.image_provider == "dalle":
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return generate_image_with_dalle(prompt, filename)
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elif CFG.image_provider == "sd":
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return generate_image_with_hf(prompt, filename)
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else:
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return "No Image Provider Set"
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def generate_image_with_hf(prompt: str, filename: str) -> str:
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"""Generate an image with HuggingFace's API.
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Args:
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prompt (str): The prompt to use
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filename (str): The filename to save the image to
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Returns:
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str: The filename of the image
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"""
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API_URL = (
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"https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4"
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)
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if CFG.huggingface_api_token is None:
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raise ValueError(
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"You need to set your Hugging Face API token in the config file."
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)
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headers = {"Authorization": f"Bearer {CFG.huggingface_api_token}"}
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response = requests.post(
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API_URL,
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headers=headers,
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json={
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"inputs": prompt,
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},
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)
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image = Image.open(io.BytesIO(response.content))
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print(f"Image Generated for prompt:{prompt}")
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image.save(path_in_workspace(filename))
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return f"Saved to disk:{filename}"
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def generate_image_with_dalle(prompt: str, filename: str) -> str:
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"""Generate an image with DALL-E.
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Args:
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prompt (str): The prompt to use
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filename (str): The filename to save the image to
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Returns:
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str: The filename of the image
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"""
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openai.api_key = CFG.openai_api_key
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response = openai.Image.create(
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prompt=prompt,
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n=1,
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size="256x256",
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response_format="b64_json",
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)
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print(f"Image Generated for prompt:{prompt}")
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image_data = b64decode(response["data"][0]["b64_json"])
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with open(path_in_workspace(filename), mode="wb") as png:
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png.write(image_data)
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return f"Saved to disk:{filename}"
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