GeminiAPI.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PfncG31gaVHy",
        "outputId": "326d47c8-8d6c-4b53-d1e8-b1e2600affd9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ],
      "source": [
        "!pip install crewai"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install duckduckgo-search\n",
        "!pip install langchain_google_genai"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yjLjrxi4abl3",
        "outputId": "990038c2-e979-4f7a-a979-606ad590a97e"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "from langchain_google_genai import ChatGoogleGenerativeAI\n",
        "from crewai import Agent, Task, Crew, Process\n",
        "from langchain.tools import DuckDuckGoSearchRun\n",
        "# from tools.browser_tools import BrowserTools\n",
        "# from tools.search_tools import SearchTools\n",
        "\n",
        "# Set gemini pro as llm\n",
        "llm = ChatGoogleGenerativeAI(model=\"gemini-pro\",\n",
        "                             verbose = True,\n",
        "                             temperature = 0.5,\n",
        "                             google_api_key=\"AIzaSyD_rtBSC3zk36QsDgP4A7PHlVh1X0AmtZc\")\n",
        "\n",
        "\n",
        "#create searches\n",
        "tool_search = DuckDuckGoSearchRun()\n",
        "\n",
        "# Define Agents\n",
        "software_developer = Agent(\n",
        "    role='Professional Software developer in python',\n",
        "    goal='Provides corrected Python code to user',\n",
        "    backstory='Experienced in writing impactful and correct Python code for developers',\n",
        "    verbose=True,\n",
        "    allow_delegation=False,\n",
        "    llm=llm,\n",
        "    tools=[\n",
        "        tool_search\n",
        "      ]\n",
        ")\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "# Define Task\n",
        "code_name = input(\"Enter the python code: \")\n",
        "# Modify task description with user input\n",
        "python_code_correction_task = Task(\n",
        "    description=f'''Generate a code in python for a software developer {code_name} provided, by him to correct it with proper syntax and indendation following python syntax rules.''',\n",
        "    agent=software_developer,  # The Content Specialist is in charge and can delegate\n",
        "    expected_output=\"Your expected output goes here\"  # Provide the expected output\n",
        ")\n",
        "\n",
        "# Create a Single Crew\n",
        "code_crew = Crew(\n",
        "    agents=[software_developer],\n",
        "    tasks=[python_code_correction_task],\n",
        "    verbose=True,\n",
        "    process=Process.sequential\n",
        ")\n",
        "\n",
        "# Execution Flow\n",
        "print(\"Crew: Working on code generartion Task\")\n",
        "code_output = code_crew.kickoff()"
      ],
      "metadata": {
        "id": "20NsW7ayl3Nb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ba398fde-0802-45bc-e0e2-8fde74f70aa9"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enter the python code: a=10 b=20; if(a>b) print(a) else print(b\")\n",
            "Crew: Working on code generartion Task\n",
            "\u001b[1m\u001b[93m [DEBUG]: == Working Agent: Professional Software developer in python\u001b[00m\n",
            "\u001b[1m\u001b[93m [INFO]: == Starting Task: Generate a code in python for a software developer a=10 b=20; if(a>b) print(a) else print(b\") provided, by him to correct it with proper syntax and indendation following python syntax rules.\u001b[00m\n",
            "\n",
            "\n",
            "\u001b[1m> Entering new CrewAgentExecutor chain...\u001b[0m\n",
            "\u001b[32;1m\u001b[1;3mAction: duckduckgo_search\n",
            "Action Input: {\"q\": \"What is the syntax for if else statement in python?\"}\u001b[0m\u001b[91m \n",
            "\n",
            "I encountered an error while trying to use the tool. This was the error: DuckDuckGoSearchRun._run() got an unexpected keyword argument 'q'.\n",
            " Tool duckduckgo_search accepts these inputs: A wrapper around DuckDuckGo Search. Useful for when you need to answer questions about current events. Input should be a search query.\n",
            "\u001b[00m\n",
            "\u001b[32;1m\u001b[1;3mThought: I now can give a great answer\n",
            "Final Answer: ```python\n",
            "a = 10\n",
            "b = 20\n",
            "if a > b:\n",
            "    print(a)\n",
            "else:\n",
            "    print(b)\n",
            "```\u001b[0m\n",
            "\n",
            "\u001b[1m> Finished chain.\u001b[0m\n",
            "\u001b[1m\u001b[92m [DEBUG]: == [Professional Software developer in python] Task output: ```python\n",
            "a = 10\n",
            "b = 20\n",
            "if a > b:\n",
            "    print(a)\n",
            "else:\n",
            "    print(b)\n",
            "```\n",
            "\n",
            "\u001b[00m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "yod3hLfNin_n"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}