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{
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"cells": [
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{
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"cell_type": "code",
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"source": [
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"!pip install transformers\n",
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"!pip install gradio\n",
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"!pip install torch"
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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": 1000
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},
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"id": "4vnVDXIEMCIn",
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"outputId": "d9b5608e-80f5-4a89-cc3a-6c8520a1ae05"
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},
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"id": "4vnVDXIEMCIn",
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"execution_count": null,
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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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" Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n",
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" Found existing installation: nvidia-curand-cu12 10.3.6.82\n",
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" Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n",
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" Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n",
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" Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n",
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" Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n",
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" Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n",
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| 188 |
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" Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n",
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" Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n",
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"Successfully installed nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127\n"
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"from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer"
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"28a75ec02064405a980a8e03f18aafb6",
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"f63d66c1271c4d09a90fdf59c6d889df",
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"8abf6024f8764f2eba2ba893cb3b1ba6",
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"source": [
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| 272 |
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"chat_pipeline = pipeline(\"text-generation\", model=\"yasserrmd/Human-Like-Qwen2.5-1.5B-Instruct\")"
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| 284 |
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"# === Chatbot ===\n",
|
| 285 |
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"def chatbot(message, chat_history):\n",
|
| 286 |
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" # Generate response\n",
|
| 287 |
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" result = chat_pipeline(message, max_new_tokens=10)\n",
|
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"\n",
|
| 289 |
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" # Extract only the reply\n",
|
| 290 |
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" bot_reply = result[0][\"generated_text\"]\n",
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" return bot_reply"
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"demo = gr.ChatInterface(\n",
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| 305 |
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| 306 |
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" type=\"messages\",\n",
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| 307 |
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" title=\"Chatbot\",\n",
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"text": [
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| 332 |
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"It looks like you are running Gradio on a hosted a Jupyter notebook. For the Gradio app to work, sharing must be enabled. Automatically setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
|
| 333 |
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"\n",
|
| 334 |
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"Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
|
| 335 |
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"* Running on public URL: https://9fddb00b0b590a0f85.gradio.live\n",
|
| 336 |
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"\n",
|
| 337 |
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"This share link expires in 1 week. 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"
|
| 338 |
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|
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"text/html": [
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"<div><iframe src=\"https://9fddb00b0b590a0f85.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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