01_completion_api.ipynb

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   "source": [
    "# API de Completion\n",
    "\n",
    "Este notebook serve para mostrar o funcionamento das APIS de completion.\n",
    "Primeiro montamos o ambiente:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
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   "source": [
    "import os\n",
    "from openai import AzureOpenAI\n",
    "from dotenv import load_dotenv\n",
    "load_dotenv()\n",
    "\n",
    "API_KEY = os.getenv(\"AZURE_OPENAI_API_KEY\",\"\").strip()\n",
    "assert API_KEY, \"ERROR: Azure OpenAI Key is missing\"\n",
    "\n",
    "RESOURCE_ENDPOINT = os.getenv(\"AZURE_OPENAI_API_BASE\",\"\").strip()\n",
    "assert RESOURCE_ENDPOINT, \"ERROR: Azure OpenAI Endpoint is missing\"\n",
    "assert \"openai.azure.com\" in RESOURCE_ENDPOINT.lower(), \"ERROR: Azure OpenAI Endpoint should be in the form: \\n\\n\\t<your unique endpoint identifier>.openai.azure.com\"\n",
    "\n",
    "client = AzureOpenAI(\n",
    "    api_version=\"2023-07-01-preview\",\n",
    "    azure_endpoint=RESOURCE_ENDPOINT,\n",
    "    api_key = API_KEY,\n",
    ")\n",
    "\n",
    "\n",
    "COMPLETIONS_MODEL = os.getenv('DEPLOYMENT_NAME')"
   ]
  },
  {
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   "metadata": {
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   "source": [
    "## Chamada básica\n",
    "\n",
    "Para chamar, passamos o parametro Prompt, com o texto que queremos que ele complete.\n",
    "\n",
    "### Zero Shot Prompt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'How are you going?'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prompt = \"\"\"Traduza do Português para inglês:\n",
    "\n",
    "Como você vai? -> \"\"\"\n",
    "client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nteract": {
     "transient": {
      "deleting": false
     }
    },
    "tags": []
   },
   "source": [
    "### One Shot Prompt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'How are you doing?'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prompt = \"\"\"Traduza do Português para inglês:\n",
    "\n",
    "Oi, tudo bem? -> Hi, how are you?\n",
    "Como você vai?-> \"\"\"\n",
    "client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nteract": {
     "transient": {
      "deleting": false
     }
    },
    "tags": []
   },
   "source": [
    "### Few Shot Prompt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'How are you doing?'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prompt = \"\"\"Traduza do Português para inglês:\n",
    "\n",
    "Oi, tudo bem? -> Hi, how are you?\n",
    "Me chamo André -> My name is André\n",
    "Como você vai? -> \"\"\"\n",
    "client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\")"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "nteract": {
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    "tags": []
   },
   "source": [
    "### Tradução\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. Please, I would like a Water.\n",
      "2. Por favor, me gustaría un Agua.\n",
      "3. お願いします、水をお願いします。\n",
      "4. من فضلك، أود ماء.\n"
     ]
    }
   ],
   "source": [
    "prompt = \"\"\"Traduza a seguinte frase para 1. Inglês, 2. Espanhol, 3. Japonês, 4. Arábe: Por favor, gostaria de uma Água\n",
    "\"\"\"\n",
    "print(client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nteract": {
     "transient": {
      "deleting": false
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    },
    "tags": []
   },
   "source": [
    "### Geração de Ideias\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. Como identificar e aplicar os princípios de arquitetura de sistemas para construir sistemas seguros e escaláveis: Uma abordagem para profissionais senior. \n",
      "\n",
      "2. Os benefícios da arquitetura de sistemas para aplicar o conhecimento de profissionais senior: Uma análise em profundidade. \n",
      "\n",
      "3. Fatores decisivos para implementar estruturas de arquitetura de sistemas de forma eficaz: Um guia para profissionais senior.\n"
     ]
    }
   ],
   "source": [
    "prompt = \"\"\"Gere 3 idéias de posts de blog sobre Arquitetura de sistemas para profissionais senior:\n",
    "\n",
    "\"\"\"\n",
    "print(client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0.9,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nteract": {
     "transient": {
      "deleting": false
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    },
    "tags": []
   },
   "source": [
    "### Classificação\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Positivo\n"
     ]
    }
   ],
   "source": [
    "prompt = \"\"\"Decida se o Tweet abaixo é positivo, negativo ou neutro.\n",
    "\n",
    "Tweet: Estou adorando a nova temporada do Mandalorian!\n",
    "Sentimento:\"\"\"\n",
    "print(client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neutro\n"
     ]
    }
   ],
   "source": [
    "prompt = \"\"\"Decida se o Tweet abaixo é positivo, negativo ou neutro. \n",
    "\n",
    "Tweet: Estou adorando a nova temporada do Mandalorian, mas o último episódio foi bem ruim!\n",
    "Sentimento:\"\"\"\n",
    "print(client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Negativo\n",
      "Sarcasmo: Sim\n"
     ]
    }
   ],
   "source": [
    "prompt = \"\"\"Decida se o Tweet abaixo é positivo, negativo ou neutro. Avalie se tem sarcasmo.\n",
    "\n",
    "Tweet: O Hotel é bom que dói.\n",
    "Sentimento: Negativo\n",
    "Sarcasmo: Sim\n",
    "\n",
    "Tweet: O Hotel é tão chique que até as baratas usam gravatas.\n",
    "Sentimento:\"\"\"\n",
    "print(client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Positivo\n",
      "Sarcasmo: Não\n"
     ]
    }
   ],
   "source": [
    "prompt = \"\"\"Decida se o Tweet abaixo é positivo, negativo ou neutro. Avalie se tem sarcasmo.\n",
    "\n",
    "Tweet: O Hotel é bom que dói.\n",
    "Sentimento: Negativo\n",
    "Sarcasmo: Sim\n",
    "\n",
    "Tweet: O Hotel é muito chique.\n",
    "Sentimento:\"\"\"\n",
    "print(client.completions.create(\n",
    "    prompt=prompt,\n",
    "    temperature=0,\n",
    "    max_tokens=1000,\n",
    "    top_p=1,\n",
    "    frequency_penalty=0,\n",
    "    presence_penalty=0,\n",
    "    model=COMPLETIONS_MODEL\n",
    ").choices[0].text.strip(\" \\n\"))"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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