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use load by image captioning

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  1. vit_gpt2_image_captioning_gradioload.ipynb +224 -0
vit_gpt2_image_captioning_gradioload.ipynb ADDED
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+ "base_uri": "https://localhost:8080/"
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+ },
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+ "id": "V8i3gjxY85ps",
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+ "outputId": "b5286759-f627-4e7d-89fb-91ced8842cad"
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+ },
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+ {
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+ "output_type": "stream",
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+ "text": [
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+ "Building wheels for collected packages: ffmpy\n",
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+ " Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+ " Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4711 sha256=13f8ffda7263e49659b8cfa6e64058f5b17b4ea5d25f283bfe79404460f085ff\n",
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+ " Stored in directory: /root/.cache/pip/wheels/ff/5b/59/913b443e7369dc04b61f607a746b6f7d83fb65e2e19fcc958d\n",
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+ "Successfully built ffmpy\n",
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+ "Installing collected packages: rfc3986, pydub, ffmpy, websockets, uc-micro-py, sniffio, python-multipart, pycryptodome, orjson, mdurl, h11, aiofiles, uvicorn, markdown-it-py, linkify-it-py, anyio, starlette, mdit-py-plugins, httpcore, httpx, fastapi, gradio\n",
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+ "Successfully installed aiofiles-23.1.0 anyio-3.6.2 fastapi-0.93.0 ffmpy-0.3.0 gradio-3.20.1 h11-0.14.0 httpcore-0.16.3 httpx-0.23.3 linkify-it-py-2.0.0 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 mdurl-0.1.2 orjson-3.8.7 pycryptodome-3.17 pydub-0.25.1 python-multipart-0.0.6 rfc3986-1.5.0 sniffio-1.3.0 starlette-0.25.0 uc-micro-py-1.0.1 uvicorn-0.20.0 websockets-10.4\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "!pip install gradio"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "source": [
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+ "import gradio as gr\n",
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+ "gr.Interface.load(\n",
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+ " 'huggingface/nlpconnect/vit-gpt2-image-captioning',\n",
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+ " inputs = gr.Image(label=\"Carga una imagen\"),\n",
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+ " title = \"Classificator\",\n",
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+ " description = \"Obtener descripcion por imagen\"\n",
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+ ").launch()"
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+ ],
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+ "metadata": {
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+ "colab": {
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+ "base_uri": "https://localhost:8080/",
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+ "height": 634
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+ },
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+ "id": "TFIAntoh9MCp",
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+ "outputId": "53099e44-244d-41c3-aef8-8a3060baf087"
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+ },
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+ "execution_count": 5,
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
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+ "text": [
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+ "Fetching model from: https://huggingface.co/nlpconnect/vit-gpt2-image-captioning\n",
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+ "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
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+ "Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
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+ "\n",
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+ "To create a public link, set `share=True` in `launch()`.\n"
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+ ]
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+ },
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+ {
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+ "output_type": "display_data",
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+ "data": {
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+ "text/plain": [
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+ "<IPython.core.display.Javascript object>"
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+ ],
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+ "application/javascript": [
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+ "(async (port, path, width, height, cache, element) => {\n",
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+ " if (!google.colab.kernel.accessAllowed && !cache) {\n",
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+ " return;\n",
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+ " }\n",
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+ " element.appendChild(document.createTextNode(''));\n",
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+ " const url = await google.colab.kernel.proxyPort(port, {cache});\n",
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+ "\n",
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+ " const external_link = document.createElement('div');\n",
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+ " external_link.innerHTML = `\n",
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+ " <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
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+ " Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
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+ " https://localhost:${port}${path}\n",
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+ " </a>\n",
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+ " </div>\n",
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+ " `;\n",
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+ " element.appendChild(external_link);\n",
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+ "\n",
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+ " const iframe = document.createElement('iframe');\n",
202
+ " iframe.src = new URL(path, url).toString();\n",
203
+ " iframe.height = height;\n",
204
+ " iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
205
+ " iframe.width = width;\n",
206
+ " iframe.style.border = 0;\n",
207
+ " element.appendChild(iframe);\n",
208
+ " })(7860, \"/\", \"100%\", 500, false, window.element)"
209
+ ]
210
+ },
211
+ "metadata": {}
212
+ },
213
+ {
214
+ "output_type": "execute_result",
215
+ "data": {
216
+ "text/plain": []
217
+ },
218
+ "metadata": {},
219
+ "execution_count": 5
220
+ }
221
+ ]
222
+ }
223
+ ]
224
+ }