Upload omni-r.ipynb
Browse files- Omni-R/omni-r.ipynb +569 -0
Omni-R/omni-r.ipynb
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| 1 |
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "-b4-SW1aGOcF"
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},
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"source": [
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"# **Omni-Reasoner**\n",
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"\n",
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"Qwen2VLForConditionalGeneration"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "oDmd1ZObGSel",
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"outputId": "83835185-bd5e-4251-a5bd-9dea119b62bc"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Collecting gradio\n",
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" Downloading gradio-5.12.0-py3-none-any.whl.metadata (16 kB)\n",
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"Collecting spaces\n",
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" Downloading spaces-0.32.0-py3-none-any.whl.metadata (1.0 kB)\n",
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"Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.47.1)\n",
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"Requirement already satisfied: accelerate in /usr/local/lib/python3.11/dist-packages (1.2.1)\n",
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"Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (1.26.4)\n",
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"Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (2.32.3)\n",
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"Requirement already satisfied: torch in /usr/local/lib/python3.11/dist-packages (2.5.1+cu121)\n",
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"Requirement already satisfied: torchvision in /usr/local/lib/python3.11/dist-packages (0.20.1+cu121)\n",
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"Collecting qwen-vl-utils\n",
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" Downloading qwen_vl_utils-0.0.8-py3-none-any.whl.metadata (3.6 kB)\n",
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"Collecting av\n",
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" Downloading av-14.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.5 kB)\n",
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"Requirement already satisfied: ipython in /usr/local/lib/python3.11/dist-packages (7.34.0)\n",
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"Collecting reportlab\n",
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" Downloading reportlab-4.2.5-py3-none-any.whl.metadata (1.5 kB)\n",
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"Collecting fpdf\n",
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" Downloading fpdf-1.7.2.tar.gz (39 kB)\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"Collecting python-docx\n",
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" Downloading python_docx-1.1.2-py3-none-any.whl.metadata (2.0 kB)\n",
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"Requirement already satisfied: pillow in /usr/local/lib/python3.11/dist-packages (11.1.0)\n",
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"Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.11/dist-packages (0.27.1)\n",
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"Collecting aiofiles<24.0,>=22.0 (from gradio)\n",
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" Downloading aiofiles-23.2.1-py3-none-any.whl.metadata (9.7 kB)\n",
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"Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.7.1)\n",
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"Collecting fastapi<1.0,>=0.115.2 (from gradio)\n",
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" Downloading fastapi-0.115.6-py3-none-any.whl.metadata (27 kB)\n",
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"Collecting ffmpy (from gradio)\n",
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" Downloading ffmpy-0.5.0-py3-none-any.whl.metadata (3.0 kB)\n",
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"Collecting gradio-client==1.5.4 (from gradio)\n",
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" Downloading gradio_client-1.5.4-py3-none-any.whl.metadata (7.1 kB)\n",
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"Requirement already satisfied: httpx>=0.24.1 in /usr/local/lib/python3.11/dist-packages (from gradio) (0.28.1)\n",
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"Requirement already satisfied: jinja2<4.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.1.5)\n",
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"Collecting markupsafe~=2.0 (from gradio)\n",
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" Downloading MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)\n",
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"Requirement already satisfied: orjson~=3.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.10.14)\n",
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"Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from gradio) (24.2)\n",
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"Requirement already satisfied: pandas<3.0,>=1.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (2.2.2)\n",
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"Requirement already satisfied: pydantic>=2.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (2.10.5)\n",
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"Collecting pydub (from gradio)\n",
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" Downloading pydub-0.25.1-py2.py3-none-any.whl.metadata (1.4 kB)\n",
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"Collecting python-multipart>=0.0.18 (from gradio)\n",
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" Downloading python_multipart-0.0.20-py3-none-any.whl.metadata (1.8 kB)\n",
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"Requirement already satisfied: pyyaml<7.0,>=5.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (6.0.2)\n",
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"Collecting ruff>=0.2.2 (from gradio)\n",
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" Downloading ruff-0.9.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (25 kB)\n",
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"Collecting safehttpx<0.2.0,>=0.1.6 (from gradio)\n",
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" Downloading safehttpx-0.1.6-py3-none-any.whl.metadata (4.2 kB)\n",
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"Collecting semantic-version~=2.0 (from gradio)\n",
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" Downloading semantic_version-2.10.0-py2.py3-none-any.whl.metadata (9.7 kB)\n",
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"Collecting starlette<1.0,>=0.40.0 (from gradio)\n",
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" Downloading starlette-0.45.2-py3-none-any.whl.metadata (6.3 kB)\n",
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"Collecting tomlkit<0.14.0,>=0.12.0 (from gradio)\n",
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" Downloading tomlkit-0.13.2-py3-none-any.whl.metadata (2.7 kB)\n",
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"Requirement already satisfied: typer<1.0,>=0.12 in /usr/local/lib/python3.11/dist-packages (from gradio) (0.15.1)\n",
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"!pip install gradio spaces transformers accelerate numpy requests torch torchvision qwen-vl-utils av ipython reportlab fpdf python-docx pillow huggingface_hub"
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"The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.\n"
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"Loading Omni-Reasoner...\n",
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"Running Gradio in a Colab notebook requires sharing enabled. Automatically setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
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"Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
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"* Running on public URL: https://f0e8ea5657a5c96892.gradio.live\n",
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"\n",
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"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
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},
|
| 229 |
+
{
|
| 230 |
+
"data": {
|
| 231 |
+
"text/html": [
|
| 232 |
+
"<div><iframe src=\"https://f0e8ea5657a5c96892.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
|
| 233 |
+
],
|
| 234 |
+
"text/plain": [
|
| 235 |
+
"<IPython.core.display.HTML object>"
|
| 236 |
+
]
|
| 237 |
+
},
|
| 238 |
+
"metadata": {},
|
| 239 |
+
"output_type": "display_data"
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"name": "stdout",
|
| 243 |
+
"output_type": "stream",
|
| 244 |
+
"text": [
|
| 245 |
+
"Keyboard interruption in main thread... closing server.\n",
|
| 246 |
+
"Killing tunnel 127.0.0.1:7860 <> https://f0e8ea5657a5c96892.gradio.live\n"
|
| 247 |
+
]
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"data": {
|
| 251 |
+
"text/plain": []
|
| 252 |
+
},
|
| 253 |
+
"execution_count": 3,
|
| 254 |
+
"metadata": {},
|
| 255 |
+
"output_type": "execute_result"
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"source": [
|
| 259 |
+
"# Authenticate with Hugging Face\n",
|
| 260 |
+
"from huggingface_hub import login\n",
|
| 261 |
+
"\n",
|
| 262 |
+
"# Log in to Hugging Face using the provided token\n",
|
| 263 |
+
"hf_token = '---xxxx---'\n",
|
| 264 |
+
"login(hf_token)\n",
|
| 265 |
+
"\n",
|
| 266 |
+
"#Demo\n",
|
| 267 |
+
"import gradio as gr\n",
|
| 268 |
+
"import spaces\n",
|
| 269 |
+
"from transformers import Qwen2VLForConditionalGeneration, AutoProcessor, TextIteratorStreamer\n",
|
| 270 |
+
"from qwen_vl_utils import process_vision_info\n",
|
| 271 |
+
"import torch\n",
|
| 272 |
+
"from PIL import Image\n",
|
| 273 |
+
"import os\n",
|
| 274 |
+
"import uuid\n",
|
| 275 |
+
"import io\n",
|
| 276 |
+
"from threading import Thread\n",
|
| 277 |
+
"from reportlab.lib.pagesizes import A4\n",
|
| 278 |
+
"from reportlab.lib.styles import getSampleStyleSheet\n",
|
| 279 |
+
"from reportlab.lib import colors\n",
|
| 280 |
+
"from reportlab.platypus import SimpleDocTemplate, Image as RLImage, Paragraph, Spacer\n",
|
| 281 |
+
"from reportlab.lib.units import inch\n",
|
| 282 |
+
"from reportlab.pdfbase import pdfmetrics\n",
|
| 283 |
+
"from reportlab.pdfbase.ttfonts import TTFont\n",
|
| 284 |
+
"import docx\n",
|
| 285 |
+
"from docx.enum.text import WD_ALIGN_PARAGRAPH\n",
|
| 286 |
+
"\n",
|
| 287 |
+
"# Define model options\n",
|
| 288 |
+
"MODEL_OPTIONS = {\n",
|
| 289 |
+
" \"Omni-Reasoner\": \"prithivMLmods/Omni-Reasoner-2B\",\n",
|
| 290 |
+
"}\n",
|
| 291 |
+
"\n",
|
| 292 |
+
"# Preload models and processors into CUDA\n",
|
| 293 |
+
"models = {}\n",
|
| 294 |
+
"processors = {}\n",
|
| 295 |
+
"for name, model_id in MODEL_OPTIONS.items():\n",
|
| 296 |
+
" print(f\"Loading {name}...\")\n",
|
| 297 |
+
" models[name] = Qwen2VLForConditionalGeneration.from_pretrained(\n",
|
| 298 |
+
" model_id,\n",
|
| 299 |
+
" trust_remote_code=True,\n",
|
| 300 |
+
" torch_dtype=torch.float16\n",
|
| 301 |
+
" ).to(\"cuda\").eval()\n",
|
| 302 |
+
" processors[name] = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)\n",
|
| 303 |
+
"\n",
|
| 304 |
+
"image_extensions = Image.registered_extensions()\n",
|
| 305 |
+
"\n",
|
| 306 |
+
"def identify_and_save_blob(blob_path):\n",
|
| 307 |
+
" \"\"\"Identifies if the blob is an image and saves it.\"\"\"\n",
|
| 308 |
+
" try:\n",
|
| 309 |
+
" with open(blob_path, 'rb') as file:\n",
|
| 310 |
+
" blob_content = file.read()\n",
|
| 311 |
+
" try:\n",
|
| 312 |
+
" Image.open(io.BytesIO(blob_content)).verify() # Check if it's a valid image\n",
|
| 313 |
+
" extension = \".png\" # Default to PNG for saving\n",
|
| 314 |
+
" media_type = \"image\"\n",
|
| 315 |
+
" except (IOError, SyntaxError):\n",
|
| 316 |
+
" raise ValueError(\"Unsupported media type. Please upload a valid image.\")\n",
|
| 317 |
+
"\n",
|
| 318 |
+
" filename = f\"temp_{uuid.uuid4()}_media{extension}\"\n",
|
| 319 |
+
" with open(filename, \"wb\") as f:\n",
|
| 320 |
+
" f.write(blob_content)\n",
|
| 321 |
+
"\n",
|
| 322 |
+
" return filename, media_type\n",
|
| 323 |
+
"\n",
|
| 324 |
+
" except FileNotFoundError:\n",
|
| 325 |
+
" raise ValueError(f\"The file {blob_path} was not found.\")\n",
|
| 326 |
+
" except Exception as e:\n",
|
| 327 |
+
" raise ValueError(f\"An error occurred while processing the file: {e}\")\n",
|
| 328 |
+
"\n",
|
| 329 |
+
"@spaces.GPU\n",
|
| 330 |
+
"def qwen_inference(model_name, media_input, text_input=None):\n",
|
| 331 |
+
" \"\"\"Handles inference for the selected model.\"\"\"\n",
|
| 332 |
+
" model = models[model_name]\n",
|
| 333 |
+
" processor = processors[model_name]\n",
|
| 334 |
+
"\n",
|
| 335 |
+
" if isinstance(media_input, str):\n",
|
| 336 |
+
" media_path = media_input\n",
|
| 337 |
+
" if media_path.endswith(tuple([i for i in image_extensions.keys()])):\n",
|
| 338 |
+
" media_type = \"image\"\n",
|
| 339 |
+
" else:\n",
|
| 340 |
+
" try:\n",
|
| 341 |
+
" media_path, media_type = identify_and_save_blob(media_input)\n",
|
| 342 |
+
" except Exception as e:\n",
|
| 343 |
+
" raise ValueError(\"Unsupported media type. Please upload a valid image.\")\n",
|
| 344 |
+
"\n",
|
| 345 |
+
" messages = [\n",
|
| 346 |
+
" {\n",
|
| 347 |
+
" \"role\": \"user\",\n",
|
| 348 |
+
" \"content\": [\n",
|
| 349 |
+
" {\n",
|
| 350 |
+
" \"type\": media_type,\n",
|
| 351 |
+
" media_type: media_path\n",
|
| 352 |
+
" },\n",
|
| 353 |
+
" {\"type\": \"text\", \"text\": text_input},\n",
|
| 354 |
+
" ],\n",
|
| 355 |
+
" }\n",
|
| 356 |
+
" ]\n",
|
| 357 |
+
"\n",
|
| 358 |
+
" text = processor.apply_chat_template(\n",
|
| 359 |
+
" messages, tokenize=False, add_generation_prompt=True\n",
|
| 360 |
+
" )\n",
|
| 361 |
+
" image_inputs, _ = process_vision_info(messages)\n",
|
| 362 |
+
" inputs = processor(\n",
|
| 363 |
+
" text=[text],\n",
|
| 364 |
+
" images=image_inputs,\n",
|
| 365 |
+
" padding=True,\n",
|
| 366 |
+
" return_tensors=\"pt\",\n",
|
| 367 |
+
" ).to(\"cuda\")\n",
|
| 368 |
+
"\n",
|
| 369 |
+
" streamer = TextIteratorStreamer(\n",
|
| 370 |
+
" processor.tokenizer, skip_prompt=True, skip_special_tokens=True\n",
|
| 371 |
+
" )\n",
|
| 372 |
+
" generation_kwargs = dict(inputs, streamer=streamer, max_new_tokens=1024)\n",
|
| 373 |
+
"\n",
|
| 374 |
+
" thread = Thread(target=model.generate, kwargs=generation_kwargs)\n",
|
| 375 |
+
" thread.start()\n",
|
| 376 |
+
"\n",
|
| 377 |
+
" buffer = \"\"\n",
|
| 378 |
+
" for new_text in streamer:\n",
|
| 379 |
+
" buffer += new_text\n",
|
| 380 |
+
" # Remove <|im_end|> or similar tokens from the output\n",
|
| 381 |
+
" buffer = buffer.replace(\"<|im_end|>\", \"\")\n",
|
| 382 |
+
" yield buffer\n",
|
| 383 |
+
"\n",
|
| 384 |
+
"def format_plain_text(output_text):\n",
|
| 385 |
+
" \"\"\"Formats the output text as plain text without LaTeX delimiters.\"\"\"\n",
|
| 386 |
+
" # Remove LaTeX delimiters and convert to plain text\n",
|
| 387 |
+
" plain_text = output_text.replace(\"\\\\(\", \"\").replace(\"\\\\)\", \"\").replace(\"\\\\[\", \"\").replace(\"\\\\]\", \"\")\n",
|
| 388 |
+
" return plain_text\n",
|
| 389 |
+
"\n",
|
| 390 |
+
"def generate_document(media_path, output_text, file_format, font_size, line_spacing, alignment, image_size):\n",
|
| 391 |
+
" \"\"\"Generates a document with the input image and plain text output.\"\"\"\n",
|
| 392 |
+
" plain_text = format_plain_text(output_text)\n",
|
| 393 |
+
" if file_format == \"pdf\":\n",
|
| 394 |
+
" return generate_pdf(media_path, plain_text, font_size, line_spacing, alignment, image_size)\n",
|
| 395 |
+
" elif file_format == \"docx\":\n",
|
| 396 |
+
" return generate_docx(media_path, plain_text, font_size, line_spacing, alignment, image_size)\n",
|
| 397 |
+
"\n",
|
| 398 |
+
"def generate_pdf(media_path, plain_text, font_size, line_spacing, alignment, image_size):\n",
|
| 399 |
+
" \"\"\"Generates a PDF document.\"\"\"\n",
|
| 400 |
+
" filename = f\"output_{uuid.uuid4()}.pdf\"\n",
|
| 401 |
+
" doc = SimpleDocTemplate(\n",
|
| 402 |
+
" filename,\n",
|
| 403 |
+
" pagesize=A4,\n",
|
| 404 |
+
" rightMargin=inch,\n",
|
| 405 |
+
" leftMargin=inch,\n",
|
| 406 |
+
" topMargin=inch,\n",
|
| 407 |
+
" bottomMargin=inch\n",
|
| 408 |
+
" )\n",
|
| 409 |
+
" styles = getSampleStyleSheet()\n",
|
| 410 |
+
" styles[\"Normal\"].fontSize = int(font_size)\n",
|
| 411 |
+
" styles[\"Normal\"].leading = int(font_size) * line_spacing\n",
|
| 412 |
+
" styles[\"Normal\"].alignment = {\n",
|
| 413 |
+
" \"Left\": 0,\n",
|
| 414 |
+
" \"Center\": 1,\n",
|
| 415 |
+
" \"Right\": 2,\n",
|
| 416 |
+
" \"Justified\": 4\n",
|
| 417 |
+
" }[alignment]\n",
|
| 418 |
+
"\n",
|
| 419 |
+
" story = []\n",
|
| 420 |
+
"\n",
|
| 421 |
+
" # Add image with size adjustment\n",
|
| 422 |
+
" image_sizes = {\n",
|
| 423 |
+
" \"Small\": (200, 200),\n",
|
| 424 |
+
" \"Medium\": (400, 400),\n",
|
| 425 |
+
" \"Large\": (600, 600)\n",
|
| 426 |
+
" }\n",
|
| 427 |
+
" img = RLImage(media_path, width=image_sizes[image_size][0], height=image_sizes[image_size][1])\n",
|
| 428 |
+
" story.append(img)\n",
|
| 429 |
+
" story.append(Spacer(1, 12))\n",
|
| 430 |
+
"\n",
|
| 431 |
+
" # Add plain text output\n",
|
| 432 |
+
" text = Paragraph(plain_text, styles[\"Normal\"])\n",
|
| 433 |
+
" story.append(text)\n",
|
| 434 |
+
"\n",
|
| 435 |
+
" doc.build(story)\n",
|
| 436 |
+
" return filename\n",
|
| 437 |
+
"\n",
|
| 438 |
+
"def generate_docx(media_path, plain_text, font_size, line_spacing, alignment, image_size):\n",
|
| 439 |
+
" \"\"\"Generates a DOCX document.\"\"\"\n",
|
| 440 |
+
" filename = f\"output_{uuid.uuid4()}.docx\"\n",
|
| 441 |
+
" doc = docx.Document()\n",
|
| 442 |
+
"\n",
|
| 443 |
+
" # Add image with size adjustment\n",
|
| 444 |
+
" image_sizes = {\n",
|
| 445 |
+
" \"Small\": docx.shared.Inches(2),\n",
|
| 446 |
+
" \"Medium\": docx.shared.Inches(4),\n",
|
| 447 |
+
" \"Large\": docx.shared.Inches(6)\n",
|
| 448 |
+
" }\n",
|
| 449 |
+
" doc.add_picture(media_path, width=image_sizes[image_size])\n",
|
| 450 |
+
" doc.add_paragraph()\n",
|
| 451 |
+
"\n",
|
| 452 |
+
" # Add plain text output\n",
|
| 453 |
+
" paragraph = doc.add_paragraph()\n",
|
| 454 |
+
" paragraph.paragraph_format.line_spacing = line_spacing\n",
|
| 455 |
+
" paragraph.paragraph_format.alignment = {\n",
|
| 456 |
+
" \"Left\": WD_ALIGN_PARAGRAPH.LEFT,\n",
|
| 457 |
+
" \"Center\": WD_ALIGN_PARAGRAPH.CENTER,\n",
|
| 458 |
+
" \"Right\": WD_ALIGN_PARAGRAPH.RIGHT,\n",
|
| 459 |
+
" \"Justified\": WD_ALIGN_PARAGRAPH.JUSTIFY\n",
|
| 460 |
+
" }[alignment]\n",
|
| 461 |
+
" run = paragraph.add_run(plain_text)\n",
|
| 462 |
+
" run.font.size = docx.shared.Pt(int(font_size))\n",
|
| 463 |
+
"\n",
|
| 464 |
+
" doc.save(filename)\n",
|
| 465 |
+
" return filename\n",
|
| 466 |
+
"\n",
|
| 467 |
+
"# CSS for output styling\n",
|
| 468 |
+
"css = \"\"\"\n",
|
| 469 |
+
" #output {\n",
|
| 470 |
+
" height: 500px;\n",
|
| 471 |
+
" overflow: auto;\n",
|
| 472 |
+
" border: 1px solid #ccc;\n",
|
| 473 |
+
" }\n",
|
| 474 |
+
".submit-btn {\n",
|
| 475 |
+
" background-color: #cf3434 !important;\n",
|
| 476 |
+
" color: white !important;\n",
|
| 477 |
+
"}\n",
|
| 478 |
+
".submit-btn:hover {\n",
|
| 479 |
+
" background-color: #ff2323 !important;\n",
|
| 480 |
+
"}\n",
|
| 481 |
+
".download-btn {\n",
|
| 482 |
+
" background-color: #35a6d6 !important;\n",
|
| 483 |
+
" color: white !important;\n",
|
| 484 |
+
"}\n",
|
| 485 |
+
".download-btn:hover {\n",
|
| 486 |
+
" background-color: #22bcff !important;\n",
|
| 487 |
+
"}\n",
|
| 488 |
+
"\"\"\"\n",
|
| 489 |
+
"\n",
|
| 490 |
+
"# Gradio app setup\n",
|
| 491 |
+
"with gr.Blocks(css=css) as demo:\n",
|
| 492 |
+
" gr.Markdown(\"# Omni-Reasoner\")\n",
|
| 493 |
+
"\n",
|
| 494 |
+
" with gr.Tab(label=\"Image Input\"):\n",
|
| 495 |
+
"\n",
|
| 496 |
+
" with gr.Row():\n",
|
| 497 |
+
" with gr.Column():\n",
|
| 498 |
+
" model_choice = gr.Dropdown(\n",
|
| 499 |
+
" label=\"Model Selection\",\n",
|
| 500 |
+
" choices=list(MODEL_OPTIONS.keys()),\n",
|
| 501 |
+
" value=\"Omni-Reasoner\"\n",
|
| 502 |
+
" )\n",
|
| 503 |
+
" input_media = gr.File(\n",
|
| 504 |
+
" label=\"Upload Image\", type=\"filepath\"\n",
|
| 505 |
+
" )\n",
|
| 506 |
+
" text_input = gr.Textbox(label=\"Question\", placeholder=\"Ask a question about the image...\")\n",
|
| 507 |
+
" submit_btn = gr.Button(value=\"Submit\", elem_classes=\"submit-btn\")\n",
|
| 508 |
+
"\n",
|
| 509 |
+
" with gr.Column():\n",
|
| 510 |
+
" output_text = gr.Textbox(label=\"Output Text\", lines=10)\n",
|
| 511 |
+
" plain_text_output = gr.Textbox(label=\"Standardized Plain Text\", lines=10)\n",
|
| 512 |
+
"\n",
|
| 513 |
+
" submit_btn.click(\n",
|
| 514 |
+
" qwen_inference, [model_choice, input_media, text_input], [output_text]\n",
|
| 515 |
+
" ).then(\n",
|
| 516 |
+
" lambda output_text: format_plain_text(output_text), [output_text], [plain_text_output]\n",
|
| 517 |
+
" )\n",
|
| 518 |
+
"\n",
|
| 519 |
+
" # Add examples directly usable by clicking\n",
|
| 520 |
+
" with gr.Row():\n",
|
| 521 |
+
" with gr.Column():\n",
|
| 522 |
+
" line_spacing = gr.Dropdown(\n",
|
| 523 |
+
" choices=[0.5, 1.0, 1.15, 1.5, 2.0, 2.5, 3.0],\n",
|
| 524 |
+
" value=1.5,\n",
|
| 525 |
+
" label=\"Line Spacing\"\n",
|
| 526 |
+
" )\n",
|
| 527 |
+
" font_size = gr.Dropdown(\n",
|
| 528 |
+
" choices=[\"8\", \"10\", \"12\", \"14\", \"16\", \"18\", \"20\", \"22\", \"24\"],\n",
|
| 529 |
+
" value=\"18\",\n",
|
| 530 |
+
" label=\"Font Size\"\n",
|
| 531 |
+
" )\n",
|
| 532 |
+
" alignment = gr.Dropdown(\n",
|
| 533 |
+
" choices=[\"Left\", \"Center\", \"Right\", \"Justified\"],\n",
|
| 534 |
+
" value=\"Justified\",\n",
|
| 535 |
+
" label=\"Text Alignment\"\n",
|
| 536 |
+
" )\n",
|
| 537 |
+
" image_size = gr.Dropdown(\n",
|
| 538 |
+
" choices=[\"Small\", \"Medium\", \"Large\"],\n",
|
| 539 |
+
" value=\"Small\",\n",
|
| 540 |
+
" label=\"Image Size\"\n",
|
| 541 |
+
" )\n",
|
| 542 |
+
" file_format = gr.Radio([\"pdf\", \"docx\"], label=\"File Format\", value=\"pdf\")\n",
|
| 543 |
+
" get_document_btn = gr.Button(value=\"Get Document\", elem_classes=\"download-btn\")\n",
|
| 544 |
+
"\n",
|
| 545 |
+
" get_document_btn.click(\n",
|
| 546 |
+
" generate_document, [input_media, output_text, file_format, font_size, line_spacing, alignment, image_size], gr.File(label=\"Download Document\")\n",
|
| 547 |
+
" )\n",
|
| 548 |
+
"\n",
|
| 549 |
+
"demo.launch(debug=True)"
|
| 550 |
+
]
|
| 551 |
+
}
|
| 552 |
+
],
|
| 553 |
+
"metadata": {
|
| 554 |
+
"accelerator": "GPU",
|
| 555 |
+
"colab": {
|
| 556 |
+
"gpuType": "T4",
|
| 557 |
+
"provenance": []
|
| 558 |
+
},
|
| 559 |
+
"kernelspec": {
|
| 560 |
+
"display_name": "Python 3",
|
| 561 |
+
"name": "python3"
|
| 562 |
+
},
|
| 563 |
+
"language_info": {
|
| 564 |
+
"name": "python"
|
| 565 |
+
}
|
| 566 |
+
},
|
| 567 |
+
"nbformat": 4,
|
| 568 |
+
"nbformat_minor": 0
|
| 569 |
+
}
|