File size: 5,263 Bytes
c3bc979 2773523 c3bc979 64325c9 c3bc979 315fd24 c3bc979 315fd24 c3bc979 863b4ea c3bc979 89d8ace 64325c9 c3bc979 863b4ea c3bc979 89d8ace 64325c9 c3bc979 863b4ea c3bc979 863b4ea 64325c9 c3bc979 863b4ea c3bc979 315fd24 863b4ea 64325c9 c3bc979 863b4ea c3bc979 89d8ace 863b4ea 64325c9 c3bc979 863b4ea c3bc979 64325c9 c3bc979 863b4ea c3bc979 863b4ea |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 |
from __future__ import annotations
import gradio as gr
import torch
from gradio_client import Client, file
DESCRIPTION = "# Comparing image captioning models"
ORIGINAL_SPACE_INFO = """\
- [GIT-large fine-tuned on COCO](https://huggingface.co/spaces/hysts/image-captioning-with-git)
- [BLIP-large](https://huggingface.co/spaces/hysts/image-captioning-with-blip)
- [BLIP-2 OPT 6.7B](https://huggingface.co/spaces/merve/BLIP2-with-transformers)
- [BLIP-2 T5-XXL](https://huggingface.co/spaces/hysts/BLIP2)
- [InstructBLIP](https://huggingface.co/spaces/hysts/InstructBLIP)
- [Fuyu-8B](https://huggingface.co/spaces/adept/fuyu-8b-demo)
"""
torch.hub.download_url_to_file("http://images.cocodataset.org/val2017/000000039769.jpg", "cats.jpg")
torch.hub.download_url_to_file(
"https://huggingface.co/datasets/nielsr/textcaps-sample/resolve/main/stop_sign.png", "stop_sign.png"
)
torch.hub.download_url_to_file(
"https://cdn.openai.com/dall-e-2/demos/text2im/astronaut/horse/photo/0.jpg", "astronaut.jpg"
)
def generate_caption_git(image_path: str) -> str:
try:
client = Client("hysts/image-captioning-with-git")
return client.predict(file(image_path), api_name="/caption")
except Exception:
gr.Warning("The GIT-large Space is currently unavailable. Please try again later.")
return ""
def generate_caption_blip(image_path: str) -> str:
try:
client = Client("hysts/image-captioning-with-blip")
return client.predict(file(image_path), "A picture of", api_name="/caption")
except Exception:
gr.Warning("The BLIP-large Space is currently unavailable. Please try again later.")
return ""
def generate_caption_blip2_opt(image_path: str) -> str:
try:
client = Client("merve/BLIP2-with-transformers")
return client.predict(
file(image_path),
"Beam search",
1, # temperature
1, # length penalty
1.5, # repetition penalty
api_name="/caption",
)
except Exception:
gr.Warning("The BLIP2 OPT6.7B Space is currently unavailable. Please try again later.")
return ""
def generate_caption_blip2_t5xxl(image_path: str) -> str:
try:
client = Client("hysts/BLIP2")
return client.predict(
file(image_path),
"Beam search",
1, # temperature
1, # length penalty
1.5, # repetition penalty
50, # max length
1, # min length
5, # number of beams
0.9, # top p
api_name="/caption",
)
except Exception:
gr.Warning("The BLIP2 T5-XXL Space is currently unavailable. Please try again later.")
return ""
def generate_caption_instructblip(image_path: str) -> str:
try:
client = Client("hysts/InstructBLIP")
return client.predict(
file(image_path),
"Describe the image.",
"Beam search",
5, # beam size
256, # max length
1, # min length
0.9, # top p
1.5, # repetition penalty
1.0, # length penalty
1.0, # temperature
api_name="/run",
)
except Exception:
gr.Warning("The InstructBLIP Space is currently unavailable. Please try again later.")
return ""
def generate_caption_fuyu(image_path: str) -> str:
try:
client = Client("adept/fuyu-8b-demo")
return client.predict(
file(image_path),
"Generate a coco style caption.\n",
fn_index=3,
)
except Exception:
gr.Warning("The Fuyu-8B Space is currently unavailable. Please try again later.")
return ""
with gr.Blocks(css="style.css") as demo:
gr.Markdown(DESCRIPTION)
with gr.Row():
with gr.Column():
input_image = gr.Image(type="filepath")
run_button = gr.Button("Caption")
with gr.Column():
out_git = gr.Textbox(label="GIT-large fine-tuned on COCO")
out_blip = gr.Textbox(label="BLIP-large")
out_blip2_opt = gr.Textbox(label="BLIP-2 OPT 6.7B")
out_blip2_t5xxl = gr.Textbox(label="BLIP-2 T5-XXL")
out_instructblip = gr.Textbox(label="InstructBLIP")
out_fuyu = gr.Textbox(label="Fuyu-8B")
gr.Examples(
examples=[
"cats.jpg",
"stop_sign.png",
"astronaut.jpg",
],
inputs=input_image,
)
with gr.Accordion(label="The original Spaces can be found here:", open=False):
gr.Markdown(ORIGINAL_SPACE_INFO)
fn_out_pairs = [
(generate_caption_git, out_git),
(generate_caption_blip, out_blip),
(generate_caption_blip2_opt, out_blip2_opt),
(generate_caption_blip2_t5xxl, out_blip2_t5xxl),
(generate_caption_instructblip, out_instructblip),
(generate_caption_fuyu, out_fuyu),
]
for fn, out in fn_out_pairs:
run_button.click(
fn=fn,
inputs=input_image,
outputs=out,
api_name=False,
)
if __name__ == "__main__":
demo.queue(max_size=20, api_open=False).launch(show_api=False)
|