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Merge pull request #41 from borisdayma/predictions
Browse filesGet predictions from backend
Former-commit-id: 54f7e9533e053884a9d98e69ef9a6ca7090d02ab
dalle_mini/backend.py
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import requests
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from io import BytesIO
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import base64
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from PIL import Image
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class ServiceError(Exception):
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def __init__(self, status_code):
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self.status_code = status_code
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def get_images_from_backend(prompt, backend_url):
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r = requests.post(
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backend_url,
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json={"prompt": prompt}
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)
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if r.status_code == 200:
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images = r.json()["images"]
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images = [Image.open(BytesIO(base64.b64decode(img))) for img in images]
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return images
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else:
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raise ServiceError(r.status_code)
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dev/predictions/README.md
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Scripts to generate predictions for assessment and reporting.
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dev/predictions/dalle_mini
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../../dalle_mini
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dev/predictions/wandb-examples-from-backend.py
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#!/usr/bin/env python
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# coding: utf-8
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from PIL import Image, ImageDraw, ImageFont
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import wandb
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import os
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from dalle_mini.backend import ServiceError, get_images_from_backend
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os.environ["WANDB_SILENT"] = "true"
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os.environ["WANDB_CONSOLE"] = "off"
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# set id to None so our latest images don't get overwritten
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id = None
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run = wandb.init(id=id,
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entity='wandb',
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project="hf-flax-dalle-mini",
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job_type="predictions",
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resume="allow"
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)
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def captioned_strip(images, caption):
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w, h = images[0].size[0], images[0].size[1]
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img = Image.new("RGB", (len(images)*w, h + 48))
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for i, img_ in enumerate(images):
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img.paste(img_, (i*w, 48))
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draw = ImageDraw.Draw(img)
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font = ImageFont.truetype("/usr/share/fonts/truetype/liberation2/LiberationMono-Bold.ttf", 40)
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draw.text((20, 3), caption, (255,255,255), font=font)
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return img
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def log_to_wandb(prompts):
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try:
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backend_url = os.environ["BACKEND_SERVER"]
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strips = []
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for prompt in prompts:
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print(f"Getting selections for: {prompt}")
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selected = get_images_from_backend(prompt, backend_url)
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strip = captioned_strip(selected, prompt)
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strips.append(wandb.Image(strip))
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wandb.log({"images": strips})
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except ServiceError as error:
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print(f"Service unavailable, status: {error.status_code}")
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except KeyError:
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print("Error: BACKEND_SERVER unset")
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prompts = [
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"white snow covered mountain under blue sky during daytime",
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"aerial view of beach during daytime",
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"aerial view of beach at night",
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"an armchair in the shape of an avocado",
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"a logo of an avocado armchair playing music",
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"young woman riding her bike trough a forest",
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"rice fields by the mediterranean coast",
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"white houses on the hill of a greek coastline",
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"illustration of a shark with a baby shark",
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"painting of an oniric forest glade surrounded by tall trees",
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]
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log_to_wandb(prompts)
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dev/{wandb-examples.py → predictions/wandb-examples.py}
RENAMED
File without changes
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