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Baidu AI interface practical case analysis in Golang development
Background introduction:
With the continuous development of artificial intelligence technology, AI applications have penetrated into various fields . Among them, Baidu's artificial intelligence interface is particularly outstanding, providing a variety of powerful AI functions, such as speech recognition, image recognition, natural language processing, etc. This article will introduce how to use Baidu AI interface in Golang development, and demonstrate its specific application through an example.
First, you need to import the corresponding package in the code:
import (
"fmt"
"github.com/Baidu-AIP/go-sdk/aip"
"io/ioutil"
"os"
)
Then, we need to initialize an AipSpeech object and set the API Key and Secret Key:
func main() {
client := aip.NewAipSpeech("[your_app_id]", "[your_api_key]", "[your_secret_key]")
Next, we need to read the audio file to be recognized:
sound, err := ioutil.ReadFile("[path_to_sound_file]")
if err != nil {
fmt. Println("Read sound file error:", err)
os.Exit(1)
}
Then, we can call Baidu AI interface for speech recognition:
result, err: = client.AsrBytes(sound, "wav", 16000, nil)
if err != nil {
fmt.Println("Speech recognition error:", err)
os.Exit(1)
}
Finally, we can output the recognition result:
fmt.Println(result)
At this point, we have completed a simple speech recognition example. In a similar way, we can use Baidu AI interface to implement other functions, such as image recognition, natural language processing, etc.
Code example:
package main
import (
"fmt" "github.com/Baidu-AIP/go-sdk/aip" "io/ioutil" "os"
)
func main() {
client := aip.NewAipSpeech("[your_app_id]", "[your_api_key]", "[your_secret_key]") sound, err := ioutil.ReadFile("[path_to_sound_file]") if err != nil { fmt.Println("Read sound file error:", err) os.Exit(1) } result, err := client.AsrBytes(sound, "wav", 16000, nil) if err != nil { fmt.Println("Speech recognition error:", err) os.Exit(1) } fmt.Println(result)
}
Note: "[your_app_id]", "[your_api_key]" and "[your_secret_key]" in the code need to be replaced with the actual application ID, API Key and Secret Key. Also, "[path_to_sound_file]" needs to be replaced with the actual audio file path.
Reference link:
(The relevant interfaces and code examples mentioned above are for reference only. Please refer to official documents and API references for actual development. )
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