前言
现在Chat GPT功能越来越强了,几乎你想问实际问题它都能给你回答。
正好,小组结课的 Android项目 有一个解梦的功能。正好调用chatGpt的Api来实现。
下面就来简单实现在Andorid项目中打造一个简易的聊天机器人。
先贴个效果, 还没进行美化:
1.创建一个Andorid项目
这里就不在详细地介绍如何创建一个Andorid项目了。谷歌上很多文章,比如官网示例:
https://developer.android.com/training/basics/firstapp/creati...
2.在 build.gradle 中添加依赖
这是用到的依赖
implementation 'com.google.android.material:material:1.7.0'
implementation 'com.android.volley:volley:1.2.0'
implementation 'com.fasterxml.jackson.datatype:jackson-datatype-jdk8:2.9.3'
compileOnly 'org.projectlombok:lombok:1.18.4'
annotationProcessor 'org.projectlombok:lombok:1.18.4'
implementation 'org.apache.commons:commons-lang3:3.6'
3.在 AndroidManifest.xml 中添加联网权限
4. 注册OpenAI api
来到 OpenAI api 注册账号,并生成 SECRET KEY
记得保存好,之后会用到。
5.编写xml界面文件
在res/layout下新建activity_chat.xml文件
5.编写Activity文件
绑定控件
首先,我们先创建了三个控件显示内容:问题、响应、用户输入。
用 setContentView 绑定xml文件,并使用 findViewById 给三个控件初始化
public class ChatActivity extends AppCompatActivity {
TextView responseTV;
TextView questionTV;
TextInputLayout queryEdt;
@Override
protected void onCreate(Bundle savedInstanceState) {
DynamicColors.applyToActivityIfAvailable(this);
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_chat);
// initializing
responseTV = findViewById(R.id.idTVResponse);
questionTV = findViewById(R.id.idTVQuestion);
queryEdt = findViewById(R.id.idTILQuery);
}
}
监听发送按钮
其次,我们需要监听发送按钮
,当用户点击后发送后,请求chatGpt。并显示 Please wait..
,让用户等待请求结果
@Override
protected void onCreate(Bundle savedInstanceState) {
DynamicColors.applyToActivityIfAvailable(this);
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_chat);
// initializing variables on below line.
responseTV = findViewById(R.id.idTVResponse);
questionTV = findViewById(R.id.idTVQuestion);
queryEdt = findViewById(R.id.idTILQuery);
queryEdt.setEndIconOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View view) {
responseTV.setText("Please wait..");
if (queryEdt.getEditText().getText().toString().length() > 0) {
getResponse(queryEdt.getEditText().getText().toString());
} else {
Toast.makeText(ChatActivity.this, "Please enter your query..", Toast.LENGTH_SHORT).show();
}
}
});
}
对 HttpURLConnection 设置代理
之后。我们应该对api进行请求了。由于众所周知的原因,我们需要对 HttpURLConnection 设置代理:
假设当前的代理在192.168.2.197,7890端口
新建ProxiedHurlStack类, 填上代理服务器的地址和端口。
public class ProxiedHurlStack extends HurlStack {
@Override
protected HttpURLConnection createConnection(URL url) throws IOException {
// Start the connection by specifying a proxy server
Proxy proxy = new Proxy(Type.HTTP,
InetSocketAddress.createUnresolved("192.168.2.197", 7890));//the proxy server(Can be your laptop ip or company proxy)
HttpURLConnection returnThis = (HttpURLConnection) url
.openConnection(proxy);
return returnThis;
}
}
新建响应实体
根据OpenAI API Reference, 响应如下:
{
"id": "chatcmpl-123",
"object": "chat.completion",
"created": 1677652288,
"choices": [{
"index": 0,
"message": {
"role": "assistant",
"content": "\n\nHello there, how may I assist you today?",
},
"finish_reason": "stop"
}],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}
所以,我们只需要获取到 content
字段, 就能我们和收到ChatGPT聊天的结果了。
对ChatGpt返回的响应,建立实体跟其对应
@Data
@AllArgsConstructor
@NoArgsConstructor
@JsonIgnoreProperties(ignoreUnknown = true)
public class ChatGptResponse {
private String id;
private String object;
private Long created;
private List choices;
}
@Data
@AllArgsConstructor
@NoArgsConstructor
@JsonIgnoreProperties(ignoreUnknown = true)
public class Choice implements Serializable {
private String index;
private String finish_reason;
private Message message;
}
@Data
@AllArgsConstructor
@NoArgsConstructor
@JsonIgnoreProperties(ignoreUnknown = true)
public class Message implements Serializable {
private String role;
private String content;
}
发起请求
之后,查看OpenAI API Reference, 根据文档对api进行请求。这里请求的模型是ChatGpt3.5。
记得在下面的代码中填写你的SecretKey
private void getResponse(String query) {
try {
questionTV.setText(query);
RequestQueue requestQueue = Volley.newRequestQueue(this, new ProxiedHurlStack());
String URL = "https://api.openai.com/v1/chat/completions";
JSONObject jsonBody = new JSONObject();
jsonBody.put("model", "gpt-3.5-turbo");
JSONArray array = new JSONArray();
JSONObject jsonObject = new JSONObject();
jsonObject.put("role", "user");
jsonObject.put("content", query);
array.put(jsonObject);
jsonBody.put("messages", array);
final String requestBody = jsonBody.toString();
StringRequest stringRequest = new StringRequest(Request.Method.POST, URL, new Response.Listener() {
@Override
public void onResponse(String response) {
Log.i("VOLLEY", response);
}
}, new Response.ErrorListener() {
@Override
public void onErrorResponse(VolleyError error) {
Log.i("VOLLEY", String.valueOf(error));
}
}) {
@Override
public String getBodyContentType() {
return "application/json; charset=utf-8";
}
@Override
public Map getHeaders() throws AuthFailureError {
Map params = new HashMap();
params.put("Content-Type", "application/json");
params.put("Authorization", "Bearer yourSecretKey");
return params;
}
@Override
public byte[] getBody() throws AuthFailureError {
try {
return requestBody == null ? null : requestBody.getBytes("utf-8");
} catch (UnsupportedEncodingException uee) {
VolleyLog.wtf("Unsupported Encoding while trying to get the bytes of %s using %s", requestBody, "utf-8");
return null;
}
}
@Override
protected Response parseNetworkResponse(NetworkResponse response) {
String responseString = new String(response.data, StandardCharsets.UTF_8);
// 创建ObjectMapper对象。
ObjectMapper mapper = new ObjectMapper();
// Json格式字符串转Java对象。
try {
ChatGptResponse javaEntity = mapper.readValue(responseString, ChatGptResponse.class);
String responseMsg = javaEntity.getChoices().get(0).getMessage().getContent();
runOnUiThread(new Runnable() {
@Override
public void run() {
responseTV.setText(responseMsg);
}
});
} catch (JsonProcessingException e) {
throw new RuntimeException(e);
} catch (IOException e) {
throw new RuntimeException(e);
}
return Response.success(responseString, HttpHeaderParser.parseCacheHeaders(response));
}
};
stringRequest.setRetryPolicy(new RetryPolicy() {
@Override
public int getCurrentTimeout() {
return 50000;
}
@Override
public int getCurrentRetryCount() {
return 50000;
}
@Override
public void retry(VolleyError error) throws VolleyError {
Log.i("VOLLEY", String.valueOf(error));
}
});
requestQueue.add(stringRequest);
} catch (JSONException e) {
e.printStackTrace();
}
}
我们在请求头上填上我们的 SecretKey
作为认证信息。
等待 ChatGpt 响应后,把响应的 byte[]
转换为Java对象。
之后将信息显示在屏幕上。
目前我只取了响应的 content 信息, 所以对话不是连续的,对接不了上文。
之后可以再参考 文档 将聊天做成连续的。