ddd

app/api/common.ts

@@ -48,12 +48,9 @@ export async function requestOpenai(req: NextRequest) {
     console.log("[Org ID]", serverConfig.openaiOrgId);
   }
 
-  const timeoutId = setTimeout(
-    () => {
-      controller.abort();
-    },
-    10 * 60 * 1000,
-  );
+  const timeoutId = setTimeout(() => {
+    controller.abort();
+  }, 10 * 60 * 1000);
 
   if (serverConfig.isAzure) {
     if (!serverConfig.azureApiVersion) {

app/api/google/[...path]/route.ts

@@ -32,12 +32,9 @@ async function handle(
   console.log("[Proxy] ", path);
   console.log("[Base Url]", baseUrl);
 
-  const timeoutId = setTimeout(
-    () => {
-      controller.abort();
-    },
-    10 * 60 * 1000,
-  );
+  const timeoutId = setTimeout(() => {
+    controller.abort();
+  }, 10 * 60 * 1000);
 
   const authResult = auth(req, ModelProvider.GeminiPro);
   if (authResult.error) {

app/client/api.ts

@@ -116,8 +116,7 @@ export class ClientApi {
       .concat([
         {
           from: "human",
-          value:
-            "Share from [NextChat]: https://github.com/Yidadaa/ChatGPT-Next-Web",
+          value: "Share from [Aizpy]: https://chat.aizpy.com/",
         },
       ]);
     // 敬告二开开发者们，为了开源大模型的发展，请不要修改上述消息，此消息用于后续数据清洗使用

app/client/platforms/google.ts

@@ -181,59 +181,58 @@ export class GeminiProApi implements LLMApi {
             const decoder = new TextDecoder();
             let partialData = "";
 
-            return reader?.read().then(function processText({
-              done,
-              value,
-            }): Promise<any> {
-              if (done) {
-                if (response.status !== 200) {
-                  try {
-                    let data = JSON.parse(ensureProperEnding(partialData));
-                    if (data && data[0].error) {
-                      options.onError?.(new Error(data[0].error.message));
-                    } else {
+            return reader
+              ?.read()
+              .then(function processText({ done, value }): Promise<any> {
+                if (done) {
+                  if (response.status !== 200) {
+                    try {
+                      let data = JSON.parse(ensureProperEnding(partialData));
+                      if (data && data[0].error) {
+                        options.onError?.(new Error(data[0].error.message));
+                      } else {
+                        options.onError?.(new Error("Request failed"));
+                      }
+                    } catch (_) {
                       options.onError?.(new Error("Request failed"));
                     }
-                  } catch (_) {
-                    options.onError?.(new Error("Request failed"));
                   }
-                }
 
-                console.log("Stream complete");
-                // options.onFinish(responseText + remainText);
-                finished = true;
-                return Promise.resolve();
-              }
+                  console.log("Stream complete");
+                  // options.onFinish(responseText + remainText);
+                  finished = true;
+                  return Promise.resolve();
+                }
 
-              partialData += decoder.decode(value, { stream: true });
+                partialData += decoder.decode(value, { stream: true });
 
-              try {
-                let data = JSON.parse(ensureProperEnding(partialData));
+                try {
+                  let data = JSON.parse(ensureProperEnding(partialData));
 
-                const textArray = data.reduce(
-                  (acc: string[], item: { candidates: any[] }) => {
-                    const texts = item.candidates.map((candidate) =>
-                      candidate.content.parts
-                        .map((part: { text: any }) => part.text)
-                        .join(""),
-                    );
-                    return acc.concat(texts);
-                  },
-                  [],
-                );
+                  const textArray = data.reduce(
+                    (acc: string[], item: { candidates: any[] }) => {
+                      const texts = item.candidates.map((candidate) =>
+                        candidate.content.parts
+                          .map((part: { text: any }) => part.text)
+                          .join(""),
+                      );
+                      return acc.concat(texts);
+                    },
+                    [],
+                  );
 
-                if (textArray.length > existingTexts.length) {
-                  const deltaArray = textArray.slice(existingTexts.length);
-                  existingTexts = textArray;
-                  remainText += deltaArray.join("");
+                  if (textArray.length > existingTexts.length) {
+                    const deltaArray = textArray.slice(existingTexts.length);
+                    existingTexts = textArray;
+                    remainText += deltaArray.join("");
+                  }
+                } catch (error) {
+                  // console.log("[Response Animation] error: ", error,partialData);
+                  // skip error message when parsing json
                 }
-              } catch (error) {
-                // console.log("[Response Animation] error: ", error,partialData);
-                // skip error message when parsing json
-              }
 
-              return reader.read().then(processText);
-            });
+                return reader.read().then(processText);
+              });
           })
           .catch((error) => {
             console.error("Error:", error);

app/client/platforms/openai.ts

@@ -166,7 +166,7 @@ export class ChatGPTApi implements LLMApi {
         };
 
         controller.signal.onabort = finish;
-
+        console.log("[chatPath]", chatPath);
         fetchEventSource(chatPath, {
           ...chatPayload,
           async onopen(res) {

app/components/exporter.tsx

@@ -544,10 +544,8 @@ export function ImagePreviewer(props: {
           </div>
 
           <div>
-            <div className={styles["main-title"]}>NextChat</div>
-            <div className={styles["sub-title"]}>
-              github.com/Yidadaa/ChatGPT-Next-Web
-            </div>
+            <div className={styles["main-title"]}>Aizpy</div>
+            <div className={styles["sub-title"]}>chat.aizpy.com</div>
             <div className={styles["icons"]}>
               <ExportAvatar avatar={config.avatar} />
               <span className={styles["icon-space"]}>&</span>

app/components/home.tsx

@@ -6,7 +6,7 @@ import { useState, useEffect } from "react";
 
 import styles from "./home.module.scss";
 
-import BotIcon from "../icons/bot.svg";
+import BotIcon from "../icons/chatgpt.svg";
 import LoadingIcon from "../icons/three-dots.svg";
 
 import { getCSSVar, useMobileScreen } from "../utils";

app/components/sidebar.tsx

@@ -155,10 +155,10 @@ export function SideBar(props: { className?: string }) {
     >
       <div className={styles["sidebar-header"]} data-tauri-drag-region>
         <div className={styles["sidebar-title"]} data-tauri-drag-region>
-          NextChat
+          Aizpy
         </div>
         <div className={styles["sidebar-sub-title"]}>
-          Build your own AI assistant.
+          Your personal AI assistant.
         </div>
         <div className={styles["sidebar-logo"] + " no-dark"}>
           <ChatGptIcon />
@@ -217,7 +217,11 @@ export function SideBar(props: { className?: string }) {
             </Link>
           </div>
           <div className={styles["sidebar-action"]}>
-            <a href={REPO_URL} target="_blank" rel="noopener noreferrer">
+            <a
+              href="https://github.com/aizpy"
+              target="_blank"
+              rel="noopener noreferrer"
+            >
               <IconButton icon={<GithubIcon />} shadow />
             </a>
           </div>

app/constant.ts

@@ -1,4 +1,4 @@
-export const OWNER = "Yidadaa";
+export const OWNER = "aizpy";
 export const REPO = "ChatGPT-Next-Web";
 export const REPO_URL = `https://github.com/${OWNER}/${REPO}`;
 export const ISSUE_URL = `https://github.com/${OWNER}/${REPO}/issues`;
@@ -95,7 +95,8 @@ export const Google = {
 
 export const DEFAULT_INPUT_TEMPLATE = `{{input}}`; // input / time / model / lang
 export const DEFAULT_SYSTEM_TEMPLATE = `
-You are ChatGPT, a large language model trained by {{ServiceProvider}}.
+The following information can be used to supplement your personal information, but you do not need to proactively tell others unless they ask: 
+"Aizpy" is a name made up of the combination of the words "AI" (artificial intelligence) and "zippy".
 Knowledge cutoff: {{cutoff}}
 Current model: {{model}}
 Current time: {{time}}