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This tutorial will guide you to build a simple Go language network search tool using the OpenAI API. This application will leverage OpenAI's capabilities to process search queries and integrate Google Search to retrieve relevant results. After completing this tutorial, you will have a full-featured web search tool to enhance your projects.
Web search tools powered by OpenAI provide a smart way to interact with search engines and process results. In this tutorial, we will build a Go application that:
Before you begin, make sure you have installed:
Create the following structure for your project:
<code>websearch-go/ |-- main.go |-- search/ | |-- search.go |-- openai/ |-- openai.go</code>
Run the following command to initialize the new Go module:
<code>mkdir websearch-go && cd websearch-go go mod init websearch-go</code>
We will use the following libraries:
Install required libraries:
<code>go get github.com/joho/godotenv</code>
Add your OpenAI API key and Google API key to the .env file:
<code>OPENAI_API_KEY=your_openai_api_key GOOGLE_API_KEY=your_google_api_key GOOGLE_SEARCH_ENGINE_ID=your_search_engine_id</code>
Create a new file search/search.go:
<code class="language-go">package search // ... (代码与原文相同) ...</code>
Create a new file openai/openai.go:
<code class="language-go">package openai // ... (代码与原文相同) ...</code>
In main.go, combine these two services:
<code class="language-go">package main // ... (代码与原文相同) ...</code>
Run the application using the following command:
<code>go run main.go</code>
You should see the search results followed by summary output.
In this guide, we created a simple web search tool using Go, the OpenAI API, and Google Search. This combination allows us to intelligently obtain and process search results, making it a powerful tool for a variety of applications. You can extend this functionality by adding a web interface or other features!
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