Afrinetwork7
commited on
Commit
•
af29733
1
Parent(s):
518cd76
Update app.py
Browse files
app.py
CHANGED
@@ -4,6 +4,7 @@ import uuid
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from urllib.parse import quote
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from requests import get
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from bs4 import BeautifulSoup
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import gradio as gr
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import numpy as np
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@@ -12,7 +13,7 @@ import spaces
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import torch
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from diffusers import DiffusionPipeline
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DESCRIPTION = """# Playground v2.
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if not torch.cuda.is_available():
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DESCRIPTION += "\n<p>Running on CPU 🥶 This demo may not work on CPU.</p>"
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@@ -78,6 +79,8 @@ def translate_to_english(phrase, src_lang):
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@spaces.GPU(enable_queue=True)
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def generate(
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phrase: str,
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input_lang: str,
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@@ -88,7 +91,6 @@ def generate(
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height: int = 1024,
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guidance_scale: float = 3,
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randomize_seed: bool = False,
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use_resolution_binning: bool = True,
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progress=gr.Progress(track_tqdm=True),
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):
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pipe.to(device)
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@@ -103,6 +105,14 @@ def generate(
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if not use_negative_prompt:
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negative_prompt = None # type: ignore
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images = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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@@ -118,12 +128,19 @@ def generate(
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image_paths = [save_image(img) for img in images]
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print(image_paths)
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return image_paths, seed
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examples = [
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["
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["
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["an astronaut riding a horse in space", "en"],
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["a cartoon of a boy playing with a tiger", "en"],
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["a cute robot artist painting on an easel, concept art", "en"],
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from urllib.parse import quote
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from requests import get
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from bs4 import BeautifulSoup
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import hashlib
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import gradio as gr
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import numpy as np
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import torch
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from diffusers import DiffusionPipeline
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DESCRIPTION = """# Playground v2.5Afri Ai Image"""
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if not torch.cuda.is_available():
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DESCRIPTION += "\n<p>Running on CPU 🥶 This demo may not work on CPU.</p>"
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@spaces.GPU(enable_queue=True)
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CACHE_DIR = "image_cache"
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def generate(
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phrase: str,
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input_lang: str,
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height: int = 1024,
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guidance_scale: float = 3,
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randomize_seed: bool = False,
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progress=gr.Progress(track_tqdm=True),
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):
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pipe.to(device)
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if not use_negative_prompt:
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negative_prompt = None # type: ignore
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# Hash the prompt and seed to create a unique cache key
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cache_key = hashlib.sha256(f"{prompt}{seed}".encode()).hexdigest()
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# Check if the image is already in the cache
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if os.path.exists(os.path.join(CACHE_DIR, f"{cache_key}.png"))):
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print("Image found in cache")
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return [os.path.join(CACHE_DIR, f"{cache_key}.png")], seed
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images = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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image_paths = [save_image(img) for img in images]
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print(image_paths)
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# Save the first image to the cache directory
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if not os.path.exists(CACHE_DIR):
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os.makedirs(CACHE_DIR)
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cache_path = os.path.join(CACHE_DIR, f"{cache_key}.png")
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Image.open(image_paths[0]).save(cache_path)
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return image_paths, seed
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examples = [
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["nyɔnu e nɔ sa tomati ɖo aximɛ", "fon"],
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["ọba ilẹ̀ benin kan", "yo"],
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["an astronaut riding a horse in space", "en"],
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["a cartoon of a boy playing with a tiger", "en"],
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["a cute robot artist painting on an easel, concept art", "en"],
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