Spaces:
Runtime error
Runtime error
File size: 8,204 Bytes
c66fb0b 5b24840 c66fb0b 5b24840 c66fb0b 5aecbb0 979ebd3 5aecbb0 c66fb0b 5aecbb0 5b24840 5aecbb0 b6d2398 5aecbb0 b6d2398 5aecbb0 b6d2398 34ab5fd b6d2398 34ab5fd 5aecbb0 b6d2398 5aecbb0 17979b3 5aecbb0 b6d2398 5aecbb0 b6d2398 5aecbb0 17979b3 b6d2398 5aecbb0 5b24840 b6d2398 5aecbb0 34ab5fd b6d2398 5aecbb0 b6d2398 c66fb0b b6d2398 c66fb0b b6d2398 c66fb0b b6d2398 c66fb0b b6d2398 c66fb0b b6d2398 34ab5fd c66fb0b d49e431 c66fb0b 17979b3 c66fb0b |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 |
# pylint: disable=no-name-in-module
# pylint: disable=no-member
"""
Author : Bastien GUILLAUME
Version : 0.0.1
Date : 2023-03-16
Title : Inference With Gradio running an onnxruntime backend
"""
import inspect
import os
import shutil
from pathlib import Path
import gradio as gr
import requests
import sys
sys.path.append(".")
from config_parser import *
from inferencer import *
gr.close_all()
def format_examples(task_number, product, product_example):
response = requests.get(product_example)
examples_folder = Path(f"examples/{product}")
os.makedirs(examples_folder, exist_ok=True)
filepath = Path(examples_folder / f'{product_example.split("/")[-1]}')
if filepath.exists():
pass
else:
with open(filepath, "wb") as f:
f.write(response.content)
# return [f"task{task_number+1}", product, filepath]
return [filepath]
def generate_parralel_interface(task_number, product):
logging.log(level=logging.INFO, msg=f"Entering generate_parralel_interface")
generate_parralel_interface_list = []
number_of_model = len(config["tasks"][f"task{task_number+1}"]["models"][product])
task_info = config["tasks"][f"task{task_number+1}"]
product_examples = (
[
format_examples(task_number, product, product_example)
for product_example in task_info["examples"][product]
]
if "examples" in task_info and product in task_info["examples"]
else []
)
# product_examples = [test(task_number, product,product_example) for product_example in product_examples]
# print(product_examples)
# product_examples = []
logging.log(level=logging.INFO, msg=f"Real Number of model: {number_of_model}")
logging.log(level=logging.DEBUG, msg=f"List of examples : {product_examples}")
for model_number in range(0, number_of_model):
logging.log(level=logging.INFO, msg=f"Building Interface for {product}")
logging.log(
level=logging.INFO, msg=f"Building Interface for Model n°{model_number+1}"
)
generate_parralel_interface_list.append(
create_interface(task_number, product, model_number)
)
generated_parralel_interface = gr.Parallel(
*generate_parralel_interface_list,
title=tasks[task_number],
description=tasks_description[task_number],
allow_flagging="never",
css="footer {visibility: hidden} body}, .gradio-container {background-color: white}",
examples=product_examples,
)
logging.log(level=logging.INFO, msg=f"Leaving generate_parralel_interface")
return generated_parralel_interface
def create_interface(task_number, product, model_number):
logging.log(level=logging.INFO, msg=f"Entering create_interface")
title = tasks[task_number]
description = tasks_description[task_number]
product_lists = tasks_products[task_number]
model_info = config["tasks"][f"task{task_number+1}"]["models"][product][
model_number
]
model_name = (
f'Résultst of {model_info["name"]}' if "name" in model_info else "Résultats"
)
model_uuid = model_info["path"].split("/")[-2:-1][0]
task_info = config["tasks"][f"task{task_number+1}"]
product_examples = (
[
format_examples(task_number, product, product_example)
for product_example in task_info["examples"][product]
]
if "examples" in task_info
and product in task_info["examples"]
and inspect.currentframe().f_back.f_code.co_name == "interface_builder"
else []
)
logging.log(level=logging.INFO, msg=f"Title : {title}")
logging.log(level=logging.INFO, msg=f"Description : {description}")
logging.log(level=logging.INFO, msg=f"Product list : {product_lists}")
logging.log(level=logging.INFO, msg=f"Model Number: {model_number}")
logging.log(level=logging.DEBUG, msg=f"List of examples : {product_examples}")
created_interface = gr.Interface(
title=title,
description=description,
fn=inferencer_arr[f"task{task_number+1}"][product][str(model_number)][model_uuid][
"function"
],
# fn=lambda x: x,
allow_flagging="never",
css="footer {visibility: hidden} body}, .gradio-container {background-color: white}",
inputs=[
# gr.Textbox(
# value=f"task{task_number+1}",
# label="Tasks",
# visible=False,
# interactive=False,
# ),
# gr.Dropdown(
# tasks_products[task_number],
# type="value",
# value=product,
# label="Choix",
# # visible=True if len(tasks_products[task_number]) > 1 else False,
# visible=False,
# info="Sur quel type de produit, voulez vous lancer l'analyse ?",
# ),
gr.Image(
label="Image à analyser",
shape=None,
image_mode="RGB",
invert_colors=False,
source="upload",
tool="editor",
type="numpy",
),
],
outputs=gr.Label(
label=model_name,
),
examples=product_examples,
)
logging.log(level=logging.INFO, msg=f"Leaving create_interface")
return created_interface
def interface_builder():
interface_builder_list = []
interface_builder_dict = {}
logging.log(level=logging.INFO, msg=f"Building Interfaces")
logging.log(level=logging.INFO, msg=f"Number of task(s) : {len(tasks)}")
for task_number in range(0, len(tasks)):
logging.log(level=logging.INFO, msg=f"Treating task n°{task_number+1}")
logging.log(level=logging.INFO, msg=f"Building Interface n°{task_number+1}")
interface_builder_dict[tasks[task_number]] = {}
product_list = list(config["tasks"][f"task{task_number+1}"]["models"].keys())
logging.log(level=logging.DEBUG, msg=f"Products : {product_list}")
interface_builder_product_level_list = []
for product in product_list:
logging.log(level=logging.INFO, msg=f"Product : {product}")
interface_builder_dict[tasks[task_number]][product] = []
if len(config["tasks"][f"task{task_number+1}"]["models"][product]) > 1:
generated_parralel_interface = generate_parralel_interface(
task_number, product
)
interface_builder_dict[tasks[task_number]][product].append(
generated_parralel_interface
)
interface_builder_product_level_list.append(
generated_parralel_interface
)
else:
generated_interface = create_interface(
task_number=task_number, product=product, model_number=0
)
interface_builder_dict[tasks[task_number]][product].append(
generated_interface
)
interface_builder_product_level_list.append(generated_interface)
interface_builder_list.append(
gr.TabbedInterface(
interface_list=interface_builder_product_level_list,
tab_names=product_list,
)
)
logging.log(level=logging.INFO, msg=f"Interfaces ready\n")
# logging.log(level=logging.INFO, msg=f"Interfaces Dict {interface_dict}")
logging.log(level=logging.DEBUG, msg=f"Interfaces List {interface_builder_list}")
return interface_builder_list
generated_interface = interface_builder()
iface_generated = gr.TabbedInterface(
interface_list=generated_interface,
tab_names=tasks_name,
title=f"{title} - {description}",
css="footer {visibility: hidden} body}, .gradio-container {background-color: white}",
)
if __name__ == "__main__":
logging.log(level=logging.INFO, msg="Starting the Gradio server...")
iface_generated.launch(
server_name="0.0.0.0"
)
# shutil.rmtree("examples")
logging.log(level=logging.INFO, msg="Stopping the Gradio server...")
|