fix: 连续滚动重复请求;perf: 训练参数

src/constants/model.ts

@@ -13,6 +13,7 @@ export type ModelConstantsData = {
   trainName: string; // 空字符串代表不能训练
   trainName: string; // 空字符串代表不能训练
   maxToken: number;
   maxToken: number;
   maxTemperature: number;
   maxTemperature: number;
+  trainedMaxToken: number; // 训练后最大多少tokens
   price: number; // 多少钱 / 1token，单位: 0.00001元
   price: number; // 多少钱 / 1token，单位: 0.00001元
 };
 };
 
 
@@ -23,6 +24,7 @@ export const modelList: ModelConstantsData[] = [
     model: ChatModelNameEnum.GPT35,
     model: ChatModelNameEnum.GPT35,
     trainName: '',
     trainName: '',
     maxToken: 4000,
     maxToken: 4000,
+    trainedMaxToken: 2000,
     maxTemperature: 2,
     maxTemperature: 2,
     price: 3
     price: 3
   },
   },
@@ -32,6 +34,7 @@ export const modelList: ModelConstantsData[] = [
     model: ChatModelNameEnum.GPT3,
     model: ChatModelNameEnum.GPT3,
     trainName: 'davinci',
     trainName: 'davinci',
     maxToken: 4000,
     maxToken: 4000,
+    trainedMaxToken: 2000,
     maxTemperature: 2,
     maxTemperature: 2,
     price: 30
     price: 30
   }
   }

src/hooks/usePaging.ts

@@ -59,7 +59,10 @@ export const usePaging = <T = any>({
     [api, isLoadAll, pageSize, params, requesting, toast]
     [api, isLoadAll, pageSize, params, requesting, toast]
   );
   );
 
 
-  const nextPage = useCallback(() => getData(pageNum + 1), [getData, pageNum]);
+  const nextPage = useCallback(() => {
+    if (requesting || isLoadAll) return;
+    getData(pageNum + 1);
+  }, [getData, isLoadAll, pageNum, requesting]);
 
 
   useQuery(['init'], () => getData(1, true));
   useQuery(['init'], () => getData(1, true));
 
 

src/pages/api/chat/gpt3.ts

@@ -69,7 +69,17 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     // 获取 chatAPI
     // 获取 chatAPI
     const chatAPI = getOpenAIApi(userApiKey || systemKey);
     const chatAPI = getOpenAIApi(userApiKey || systemKey);
     let startTime = Date.now();
     let startTime = Date.now();
-
+    // console.log({
+    //   model: model.service.chatModel,
+    //   temperature: temperature,
+    //   prompt: promptText,
+    //   stream: true,
+    //   max_tokens:
+    //     model.trainingTimes > 0 ? modelConstantsData.trainedMaxToken : modelConstantsData.maxToken,
+    //   presence_penalty: -0.5, // 越大，越容易出现新内容
+    //   frequency_penalty: 0.5, // 越大，重复内容越少
+    //   stop: [`</s>`, '。！？.!.']
+    // });
     // 发出请求
     // 发出请求
     const chatResponse = await chatAPI.createCompletion(
     const chatResponse = await chatAPI.createCompletion(
       {
       {
@@ -77,9 +87,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         temperature: temperature,
         temperature: temperature,
         prompt: promptText,
         prompt: promptText,
         stream: true,
         stream: true,
-        max_tokens: modelConstantsData.maxToken,
-        presence_penalty: 0, // 越大，越容易出现新内容
-        frequency_penalty: 0, // 越大，重复内容越少
+        max_tokens:
+          model.trainingTimes > 0
+            ? modelConstantsData.trainedMaxToken
+            : modelConstantsData.maxToken,
+        presence_penalty: -0.5, // 越大，越容易出现新内容
+        frequency_penalty: 0.5, // 越大，重复内容越少
         stop: [`</s>`, '。！？.!.']
         stop: [`</s>`, '。！？.!.']
       },
       },
       {
       {
@@ -108,7 +121,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       try {
       try {
         const json = JSON.parse(data);
         const json = JSON.parse(data);
         const content: string = json?.choices?.[0].text || '';
         const content: string = json?.choices?.[0].text || '';
-        console.log('content:', content);
+        // console.log('content:', content);
         if (!content || (responseContent === '' && content === '\n')) return;
         if (!content || (responseContent === '' && content === '\n')) return;
 
 
         responseContent += content;
         responseContent += content;

src/pages/api/model/train.ts

@@ -83,7 +83,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       {
       {
         training_file: uploadFileId,
         training_file: uploadFileId,
         model: trainingType,
         model: trainingType,
-        suffix: model.name
+        suffix: model.name,
+        n_epochs: 2
       },
       },
       { httpsAgent }
       { httpsAgent }
     );
     );