{
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     "name": "stderr",
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     "text": [
      "c:\\Users\\ZZ029K826\\Documents\\GitHub\\llm-bill-chat-app\\.venv\\Lib\\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": [
    "from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = \"ai-forever/mGPT-1.3B-romanian\"\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
    "model = AutoModelForCausalLM.from_pretrained(model_name)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Device set to use cpu\n"
     ]
    }
   ],
   "source": [
    "chat_model = pipeline(\n",
    "    \"text-generation\",\n",
    "    model=model,\n",
    "    tokenizer=tokenizer,\n",
    "    device=-1,  # Use CPU\n",
    "    max_length=300,\n",
    "    max_new_tokens=100,\n",
    "    truncation=True\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\ZZ029K826\\Documents\\GitHub\\llm-bill-chat-app\\.venv\\Lib\\site-packages\\transformers\\generation\\configuration_utils.py:628: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.7` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.\n",
      "  warnings.warn(\n",
      "c:\\Users\\ZZ029K826\\Documents\\GitHub\\llm-bill-chat-app\\.venv\\Lib\\site-packages\\transformers\\generation\\configuration_utils.py:633: UserWarning: `do_sample` is set to `False`. However, `top_p` is set to `0.9` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_p`.\n",
      "  warnings.warn(\n",
      "Both `max_new_tokens` (=100) and `max_length`(=300) seem to have been set. `max_new_tokens` will take precedence. Please refer to the documentation for more information. (https://huggingface.co/docs/transformers/main/en/main_classes/text_generation)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cum te simți astăzi?\n",
      "\n",
      "- Nu mă mai gândesc la asta. - Ba da, sunt bine!\n",
      "\n",
      "Nu e nimic de făcut în legatura cu tata... dar nu vreau ca el sa se raneasca pe mine acolo unde este locul meu preferat: un apartament mare si frumoasa casa din New York City care are o proprietate privată pentru copiii lui Michael Jackson şi familia ei.\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "def generate_response(user_input, temperature=0.7, top_k=50, top_p=0.9, repetition_penalty=1.2):\n",
    "    response = chat_model(\n",
    "        user_input,\n",
    "        max_new_tokens=100,\n",
    "        temperature=temperature,\n",
    "        top_k=top_k,\n",
    "        top_p=top_p,\n",
    "        repetition_penalty=repetition_penalty\n",
    "    )\n",
    "    return response[0]['generated_text']\n",
    "\n",
    "# Test the function with adjusted parameters\n",
    "user_input = \"Cum te simți astăzi?\"\n",
    "response = generate_response(user_input)\n",
    "print(response)"
   ]
  }
 ],
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