Get predictions from backend.

And create a `predictions` folder.


Former-commit-id: 59d293bc8bfc8a82c4532e7d31d764ddde877152

dalle_mini/backend.py

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+import requests
+from io import BytesIO
+import base64
+from PIL import Image
+
+class ServiceError(Exception):
+    def __init__(self, status_code):
+        self.status_code = status_code
+
+def get_images_from_backend(prompt, backend_url):
+    r = requests.post(
+        backend_url, 
+        json={"prompt": prompt}
+    )
+    if r.status_code == 200:
+        images = r.json()["images"]
+        images = [Image.open(BytesIO(base64.b64decode(img))) for img in images]
+        return images
+    else:
+        raise ServiceError(r.status_code)

dev/predictions/README.md

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+Scripts to generate predictions for assessment and reporting.

dev/predictions/dalle_mini

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+../../dalle_mini

dev/predictions/wandb-examples-from-backend.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+from PIL import Image, ImageDraw, ImageFont
+import wandb
+import os
+
+from dalle_mini.backend import ServiceError, get_images_from_backend
+
+os.environ["WANDB_SILENT"] = "true"
+os.environ["WANDB_CONSOLE"] = "off"
+
+# set id to None so our latest images don't get overwritten
+id = None
+run = wandb.init(id=id,
+        entity='wandb',
+        project="hf-flax-dalle-mini",
+        job_type="predictions",
+        resume="allow"
+)
+
+def captioned_strip(images, caption):
+    w, h = images[0].size[0], images[0].size[1]
+    img = Image.new("RGB", (len(images)*w, h + 48))
+    for i, img_ in enumerate(images):
+        img.paste(img_, (i*w, 48))
+    draw = ImageDraw.Draw(img)
+    font = ImageFont.truetype("/usr/share/fonts/truetype/liberation2/LiberationMono-Bold.ttf", 40)
+    draw.text((20, 3), caption, (255,255,255), font=font)
+    return img
+
+def log_to_wandb(prompts):
+    try:
+        backend_url = os.environ["BACKEND_SERVER"]
+
+        strips = []
+        for prompt in prompts:
+            print(f"Getting selections for: {prompt}")
+            selected = get_images_from_backend(prompt, backend_url)
+            strip = captioned_strip(selected, prompt)
+            strips.append(wandb.Image(strip))
+        wandb.log({"images": strips})
+    except ServiceError as error:
+        print(f"Service unavailable, status: {error.status_code}")
+    except KeyError:
+        print("Error: BACKEND_SERVER unset")
+
+prompts = [
+    "white snow covered mountain under blue sky during daytime",
+    "aerial view of beach during daytime",
+    "aerial view of beach at night",
+    "an armchair in the shape of an avocado",
+    "a logo of an avocado armchair playing music",
+    "young woman riding her bike trough a forest",
+    "rice fields by the mediterranean coast",
+    "white houses on the hill of a greek coastline",
+    "illustration of a shark with a baby shark",
+    "painting of an oniric forest glade surrounded by tall trees",
+]
+
+log_to_wandb(prompts)