Spaces:
Sleeping
Sleeping
File size: 27,582 Bytes
b06a7c0 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting gradio\n",
" Downloading gradio-4.31.4-py3-none-any.whl.metadata (15 kB)\n",
"Collecting aiofiles<24.0,>=22.0 (from gradio)\n",
" Using cached aiofiles-23.2.1-py3-none-any.whl.metadata (9.7 kB)\n",
"Collecting altair<6.0,>=4.2.0 (from gradio)\n",
" Using cached altair-5.3.0-py3-none-any.whl.metadata (9.2 kB)\n",
"Collecting fastapi (from gradio)\n",
" Downloading fastapi-0.111.0-py3-none-any.whl.metadata (25 kB)\n",
"Collecting ffmpy (from gradio)\n",
" Using cached ffmpy-0.3.2.tar.gz (5.5 kB)\n",
" Preparing metadata (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25hCollecting gradio-client==0.16.4 (from gradio)\n",
" Downloading gradio_client-0.16.4-py3-none-any.whl.metadata (7.1 kB)\n",
"Collecting httpx>=0.24.1 (from gradio)\n",
" Using cached httpx-0.27.0-py3-none-any.whl.metadata (7.2 kB)\n",
"Collecting huggingface-hub>=0.19.3 (from gradio)\n",
" Downloading huggingface_hub-0.23.0-py3-none-any.whl.metadata (12 kB)\n",
"Requirement already satisfied: importlib-resources<7.0,>=1.3 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio) (6.4.0)\n",
"Collecting jinja2<4.0 (from gradio)\n",
" Downloading jinja2-3.1.4-py3-none-any.whl.metadata (2.6 kB)\n",
"Requirement already satisfied: markupsafe~=2.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio) (2.1.5)\n",
"Requirement already satisfied: matplotlib~=3.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio) (3.9.0)\n",
"Requirement already satisfied: numpy~=1.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio) (1.26.4)\n",
"Collecting orjson~=3.0 (from gradio)\n",
" Downloading orjson-3.10.3-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl.metadata (49 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.7/49.7 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: packaging in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio) (24.0)\n",
"Collecting pandas<3.0,>=1.0 (from gradio)\n",
" Downloading pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl.metadata (19 kB)\n",
"Requirement already satisfied: pillow<11.0,>=8.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio) (10.3.0)\n",
"Collecting pydantic>=2.0 (from gradio)\n",
" Using cached pydantic-2.7.1-py3-none-any.whl.metadata (107 kB)\n",
"Collecting pydub (from gradio)\n",
" Using cached pydub-0.25.1-py2.py3-none-any.whl.metadata (1.4 kB)\n",
"Collecting python-multipart>=0.0.9 (from gradio)\n",
" Using cached python_multipart-0.0.9-py3-none-any.whl.metadata (2.5 kB)\n",
"Collecting pyyaml<7.0,>=5.0 (from gradio)\n",
" Downloading PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl.metadata (2.1 kB)\n",
"Collecting ruff>=0.2.2 (from gradio)\n",
" Downloading ruff-0.4.4-py3-none-macosx_11_0_arm64.whl.metadata (23 kB)\n",
"Collecting semantic-version~=2.0 (from gradio)\n",
" Using cached semantic_version-2.10.0-py2.py3-none-any.whl.metadata (9.7 kB)\n",
"Collecting tomlkit==0.12.0 (from gradio)\n",
" Using cached tomlkit-0.12.0-py3-none-any.whl.metadata (2.7 kB)\n",
"Collecting typer<1.0,>=0.12 (from gradio)\n",
" Downloading typer-0.12.3-py3-none-any.whl.metadata (15 kB)\n",
"Requirement already satisfied: typing-extensions~=4.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio) (4.11.0)\n",
"Requirement already satisfied: urllib3~=2.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio) (2.2.1)\n",
"Collecting uvicorn>=0.14.0 (from gradio)\n",
" Using cached uvicorn-0.29.0-py3-none-any.whl.metadata (6.3 kB)\n",
"Requirement already satisfied: fsspec in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from gradio-client==0.16.4->gradio) (2024.5.0)\n",
"Collecting websockets<12.0,>=10.0 (from gradio-client==0.16.4->gradio)\n",
" Downloading websockets-11.0.3-py3-none-any.whl.metadata (6.6 kB)\n",
"Collecting jsonschema>=3.0 (from altair<6.0,>=4.2.0->gradio)\n",
" Downloading jsonschema-4.22.0-py3-none-any.whl.metadata (8.2 kB)\n",
"Collecting toolz (from altair<6.0,>=4.2.0->gradio)\n",
" Using cached toolz-0.12.1-py3-none-any.whl.metadata (5.1 kB)\n",
"Collecting anyio (from httpx>=0.24.1->gradio)\n",
" Using cached anyio-4.3.0-py3-none-any.whl.metadata (4.6 kB)\n",
"Requirement already satisfied: certifi in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from httpx>=0.24.1->gradio) (2024.2.2)\n",
"Collecting httpcore==1.* (from httpx>=0.24.1->gradio)\n",
" Using cached httpcore-1.0.5-py3-none-any.whl.metadata (20 kB)\n",
"Requirement already satisfied: idna in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from httpx>=0.24.1->gradio) (3.7)\n",
"Collecting sniffio (from httpx>=0.24.1->gradio)\n",
" Using cached sniffio-1.3.1-py3-none-any.whl.metadata (3.9 kB)\n",
"Collecting h11<0.15,>=0.13 (from httpcore==1.*->httpx>=0.24.1->gradio)\n",
" Using cached h11-0.14.0-py3-none-any.whl.metadata (8.2 kB)\n",
"Collecting filelock (from huggingface-hub>=0.19.3->gradio)\n",
" Downloading filelock-3.14.0-py3-none-any.whl.metadata (2.8 kB)\n",
"Requirement already satisfied: requests in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from huggingface-hub>=0.19.3->gradio) (2.32.0)\n",
"Requirement already satisfied: tqdm>=4.42.1 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from huggingface-hub>=0.19.3->gradio) (4.66.4)\n",
"Requirement already satisfied: contourpy>=1.0.1 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from matplotlib~=3.0->gradio) (1.2.1)\n",
"Requirement already satisfied: cycler>=0.10 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from matplotlib~=3.0->gradio) (0.12.1)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from matplotlib~=3.0->gradio) (4.51.0)\n",
"Requirement already satisfied: kiwisolver>=1.3.1 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from matplotlib~=3.0->gradio) (1.4.5)\n",
"Requirement already satisfied: pyparsing>=2.3.1 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from matplotlib~=3.0->gradio) (3.1.2)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from matplotlib~=3.0->gradio) (2.9.0.post0)\n",
"Collecting pytz>=2020.1 (from pandas<3.0,>=1.0->gradio)\n",
" Downloading pytz-2024.1-py2.py3-none-any.whl.metadata (22 kB)\n",
"Collecting tzdata>=2022.7 (from pandas<3.0,>=1.0->gradio)\n",
" Downloading tzdata-2024.1-py2.py3-none-any.whl.metadata (1.4 kB)\n",
"Collecting annotated-types>=0.4.0 (from pydantic>=2.0->gradio)\n",
" Downloading annotated_types-0.7.0-py3-none-any.whl.metadata (15 kB)\n",
"Collecting pydantic-core==2.18.2 (from pydantic>=2.0->gradio)\n",
" Downloading pydantic_core-2.18.2-cp312-cp312-macosx_11_0_arm64.whl.metadata (6.5 kB)\n",
"Requirement already satisfied: click>=8.0.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from typer<1.0,>=0.12->gradio) (8.1.7)\n",
"Collecting shellingham>=1.3.0 (from typer<1.0,>=0.12->gradio)\n",
" Using cached shellingham-1.5.4-py2.py3-none-any.whl.metadata (3.5 kB)\n",
"Requirement already satisfied: rich>=10.11.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from typer<1.0,>=0.12->gradio) (13.7.1)\n",
"Collecting starlette<0.38.0,>=0.37.2 (from fastapi->gradio)\n",
" Using cached starlette-0.37.2-py3-none-any.whl.metadata (5.9 kB)\n",
"Collecting fastapi-cli>=0.0.2 (from fastapi->gradio)\n",
" Downloading fastapi_cli-0.0.4-py3-none-any.whl.metadata (7.0 kB)\n",
"Collecting ujson!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,>=4.0.1 (from fastapi->gradio)\n",
" Downloading ujson-5.10.0-cp312-cp312-macosx_11_0_arm64.whl.metadata (9.3 kB)\n",
"Collecting email_validator>=2.0.0 (from fastapi->gradio)\n",
" Downloading email_validator-2.1.1-py3-none-any.whl.metadata (26 kB)\n",
"Collecting dnspython>=2.0.0 (from email_validator>=2.0.0->fastapi->gradio)\n",
" Downloading dnspython-2.6.1-py3-none-any.whl.metadata (5.8 kB)\n",
"Collecting attrs>=22.2.0 (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio)\n",
" Downloading attrs-23.2.0-py3-none-any.whl.metadata (9.5 kB)\n",
"Collecting jsonschema-specifications>=2023.03.6 (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio)\n",
" Downloading jsonschema_specifications-2023.12.1-py3-none-any.whl.metadata (3.0 kB)\n",
"Collecting referencing>=0.28.4 (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio)\n",
" Downloading referencing-0.35.1-py3-none-any.whl.metadata (2.8 kB)\n",
"Collecting rpds-py>=0.7.1 (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio)\n",
" Downloading rpds_py-0.18.1-cp312-cp312-macosx_11_0_arm64.whl.metadata (4.1 kB)\n",
"Requirement already satisfied: six>=1.5 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib~=3.0->gradio) (1.16.0)\n",
"Requirement already satisfied: markdown-it-py>=2.2.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from rich>=10.11.0->typer<1.0,>=0.12->gradio) (3.0.0)\n",
"Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from rich>=10.11.0->typer<1.0,>=0.12->gradio) (2.18.0)\n",
"Collecting httptools>=0.5.0 (from uvicorn[standard]>=0.12.0->fastapi->gradio)\n",
" Downloading httptools-0.6.1-cp312-cp312-macosx_10_9_universal2.whl.metadata (3.6 kB)\n",
"Collecting python-dotenv>=0.13 (from uvicorn[standard]>=0.12.0->fastapi->gradio)\n",
" Using cached python_dotenv-1.0.1-py3-none-any.whl.metadata (23 kB)\n",
"Collecting uvloop!=0.15.0,!=0.15.1,>=0.14.0 (from uvicorn[standard]>=0.12.0->fastapi->gradio)\n",
" Downloading uvloop-0.19.0-cp312-cp312-macosx_10_9_universal2.whl.metadata (4.9 kB)\n",
"Collecting watchfiles>=0.13 (from uvicorn[standard]>=0.12.0->fastapi->gradio)\n",
" Downloading watchfiles-0.21.0-cp312-cp312-macosx_11_0_arm64.whl.metadata (4.9 kB)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from requests->huggingface-hub>=0.19.3->gradio) (3.3.2)\n",
"Requirement already satisfied: mdurl~=0.1 in /Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages (from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio) (0.1.2)\n",
"Downloading gradio-4.31.4-py3-none-any.whl (12.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.3/12.3 MB\u001b[0m \u001b[31m4.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
"\u001b[?25hDownloading gradio_client-0.16.4-py3-none-any.whl (315 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m315.9/315.9 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hUsing cached tomlkit-0.12.0-py3-none-any.whl (37 kB)\n",
"Using cached aiofiles-23.2.1-py3-none-any.whl (15 kB)\n",
"Using cached altair-5.3.0-py3-none-any.whl (857 kB)\n",
"Using cached httpx-0.27.0-py3-none-any.whl (75 kB)\n",
"Using cached httpcore-1.0.5-py3-none-any.whl (77 kB)\n",
"Downloading huggingface_hub-0.23.0-py3-none-any.whl (401 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m401.2/401.2 kB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hDownloading jinja2-3.1.4-py3-none-any.whl (133 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m133.3/133.3 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading orjson-3.10.3-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl (253 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m253.8/253.8 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hDownloading pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl (11.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
"\u001b[?25hUsing cached pydantic-2.7.1-py3-none-any.whl (409 kB)\n",
"Downloading pydantic_core-2.18.2-cp312-cp312-macosx_11_0_arm64.whl (1.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hUsing cached python_multipart-0.0.9-py3-none-any.whl (22 kB)\n",
"Downloading PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl (165 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m165.6/165.6 kB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m\n",
"\u001b[?25hDownloading ruff-0.4.4-py3-none-macosx_11_0_arm64.whl (8.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.0/8.0 MB\u001b[0m \u001b[31m4.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
"\u001b[?25hUsing cached semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)\n",
"Downloading typer-0.12.3-py3-none-any.whl (47 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m47.2/47.2 kB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hUsing cached uvicorn-0.29.0-py3-none-any.whl (60 kB)\n",
"Downloading fastapi-0.111.0-py3-none-any.whl (91 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.0/92.0 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hUsing cached pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
"Downloading annotated_types-0.7.0-py3-none-any.whl (13 kB)\n",
"Downloading email_validator-2.1.1-py3-none-any.whl (30 kB)\n",
"Downloading fastapi_cli-0.0.4-py3-none-any.whl (9.5 kB)\n",
"Using cached h11-0.14.0-py3-none-any.whl (58 kB)\n",
"Downloading jsonschema-4.22.0-py3-none-any.whl (88 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.3/88.3 kB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading pytz-2024.1-py2.py3-none-any.whl (505 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m505.5/505.5 kB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
"\u001b[?25hUsing cached shellingham-1.5.4-py2.py3-none-any.whl (9.8 kB)\n",
"Using cached starlette-0.37.2-py3-none-any.whl (71 kB)\n",
"Using cached anyio-4.3.0-py3-none-any.whl (85 kB)\n",
"Using cached sniffio-1.3.1-py3-none-any.whl (10 kB)\n",
"Downloading tzdata-2024.1-py2.py3-none-any.whl (345 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m345.4/345.4 kB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
"\u001b[?25hDownloading ujson-5.10.0-cp312-cp312-macosx_11_0_arm64.whl (51 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m51.8/51.8 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading websockets-11.0.3-py3-none-any.whl (118 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m118.1/118.1 kB\u001b[0m \u001b[31m4.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading filelock-3.14.0-py3-none-any.whl (12 kB)\n",
"Using cached toolz-0.12.1-py3-none-any.whl (56 kB)\n",
"Downloading attrs-23.2.0-py3-none-any.whl (60 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.8/60.8 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading dnspython-2.6.1-py3-none-any.whl (307 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.7/307.7 kB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hDownloading httptools-0.6.1-cp312-cp312-macosx_10_9_universal2.whl (146 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m146.4/146.4 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading jsonschema_specifications-2023.12.1-py3-none-any.whl (18 kB)\n",
"Using cached python_dotenv-1.0.1-py3-none-any.whl (19 kB)\n",
"Downloading referencing-0.35.1-py3-none-any.whl (26 kB)\n",
"Downloading rpds_py-0.18.1-cp312-cp312-macosx_11_0_arm64.whl (323 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m323.6/323.6 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hDownloading uvloop-0.19.0-cp312-cp312-macosx_10_9_universal2.whl (1.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.4/1.4 MB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hDownloading watchfiles-0.21.0-cp312-cp312-macosx_11_0_arm64.whl (417 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m417.3/417.3 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hBuilding wheels for collected packages: ffmpy\n",
" Building wheel for ffmpy (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25h Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=97651e6dbb547e6b91aabbc5543bdf57b24da837cbeae1b4a111522dc42924b5\n",
" Stored in directory: /Users/mabelang/Library/Caches/pip/wheels/8a/63/a8/fad16a1c5c990569a478f40782ce543788ddac224288008635\n",
"Successfully built ffmpy\n",
"Installing collected packages: pytz, pydub, ffmpy, websockets, uvloop, ujson, tzdata, toolz, tomlkit, sniffio, shellingham, semantic-version, ruff, rpds-py, pyyaml, python-multipart, python-dotenv, pydantic-core, orjson, jinja2, httptools, h11, filelock, dnspython, attrs, annotated-types, aiofiles, uvicorn, referencing, pydantic, pandas, huggingface-hub, httpcore, email_validator, anyio, watchfiles, typer, starlette, jsonschema-specifications, httpx, jsonschema, gradio-client, fastapi-cli, fastapi, altair, gradio\n",
"Successfully installed aiofiles-23.2.1 altair-5.3.0 annotated-types-0.7.0 anyio-4.3.0 attrs-23.2.0 dnspython-2.6.1 email_validator-2.1.1 fastapi-0.111.0 fastapi-cli-0.0.4 ffmpy-0.3.2 filelock-3.14.0 gradio-4.31.4 gradio-client-0.16.4 h11-0.14.0 httpcore-1.0.5 httptools-0.6.1 httpx-0.27.0 huggingface-hub-0.23.0 jinja2-3.1.4 jsonschema-4.22.0 jsonschema-specifications-2023.12.1 orjson-3.10.3 pandas-2.2.2 pydantic-2.7.1 pydantic-core-2.18.2 pydub-0.25.1 python-dotenv-1.0.1 python-multipart-0.0.9 pytz-2024.1 pyyaml-6.0.1 referencing-0.35.1 rpds-py-0.18.1 ruff-0.4.4 semantic-version-2.10.0 shellingham-1.5.4 sniffio-1.3.1 starlette-0.37.2 tomlkit-0.12.0 toolz-0.12.1 typer-0.12.3 tzdata-2024.1 ujson-5.10.0 uvicorn-0.29.0 uvloop-0.19.0 watchfiles-0.21.0 websockets-11.0.3\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"# pip install gradio"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/mabelang/Documents/Z. AI apps/AI Task 2_Pokemon Classifier/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"import gradio as gr\n",
"import tensorflow as tf\n",
"import numpy as np\n",
"from PIL import Image"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"model_path = \"mabel_transferlearning.keras\"\n",
"model = tf.keras.models.load_model(model_path)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Define the core prediction function\n",
"def predict_pokemons(image):\n",
" # Preprocess image\n",
" print(type(image))\n",
" image = Image.fromarray(image.astype('uint8')) # Convert numpy array to PIL image\n",
" image = image.resize((150, 150)) #resize the image to 28x28 and converts it to gray scale\n",
" image = np.array(image)\n",
" image = np.expand_dims(image, axis=0) # same as image[None, ...]\n",
" \n",
" # Predict\n",
" prediction = model.predict(image)\n",
" \n",
" # Apply sigmoid to get probabilities\n",
" prediction_prob = tf.sigmoid(prediction).numpy()\n",
"\n",
" p_Abra = round(prediction_prob[0][0], 2)\n",
" p_Pikachu = round(prediction_prob[0][1], 2)\n",
" p_Beedrill = round(prediction_prob[0][2], 2)\n",
"\n",
" return{'Abra': p_Abra, 'Pikachu': p_Pikachu, 'Beedrill': p_Beedrill}"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Running on local URL: http://127.0.0.1:7863\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7863/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Create the Gradio interface\n",
"input_image = gr.Image()\n",
"iface = gr.Interface(\n",
" fn=predict_pokemons,\n",
" inputs=input_image, \n",
" outputs=gr.Label(),\n",
" examples=[\"Abra1.png\", \"Abra2.png\", \"Abra3.jpg\", \"Beedrill1.jpg\", \"Beedrill2.jpg\", \"Beedrill3.png\", \"Pikachu1.png\", \"Pikachu2.jpg\", \"Pikachu3.png\"], \n",
" description=\"Pokemon Classifier\")\n",
"iface.launch()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "venv_new",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|