Merge remote-tracking branch 'upstream/main'

# Conflicts:
#	app/layout.tsx
#	package.json
#	yarn.lock

.env.template

@@ -14,8 +14,8 @@ PROXY_URL=http://localhost:7890
 GOOGLE_API_KEY=
 
 # (optional)
-# Default: https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent
-# Googel Gemini Pro API url, set if you want to customize Google Gemini Pro API url.
+# Default: https://generativelanguage.googleapis.com/
+# Googel Gemini Pro API url without pathname, set if you want to customize Google Gemini Pro API url.
 GOOGLE_URL=
 
 # Override openai api request base url. (optional)

README.md

@@ -1,5 +1,5 @@
 <div align="center">
-<img src="./docs/images/icon.svg" alt="icon"/>
+<img src="./docs/images/head-cover.png" alt="icon"/>
 
 <h1 align="center">NextChat (ChatGPT Next Web)</h1>
 
@@ -61,10 +61,11 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with GPT3, GPT4
 
 ## What's New
 
-- 🚀 v2.0 is released, now you can create prompt templates, turn your ideas into reality! Read this: [ChatGPT Prompt Engineering Tips: Zero, One and Few Shot Prompting](https://www.allabtai.com/prompt-engineering-tips-zero-one-and-few-shot-prompting/).
-- 🚀 v2.7 let's share conversations as image, or share to ShareGPT!
-- 🚀 v2.8 now we have a client that runs across all platforms!
+- 🚀 v2.10.1 support Google Gemini Pro model.
 - 🚀 v2.9.11 you can use azure endpoint now.
+- 🚀 v2.8 now we have a client that runs across all platforms!
+- 🚀 v2.7 let's share conversations as image, or share to ShareGPT!
+- 🚀 v2.0 is released, now you can create prompt templates, turn your ideas into reality! Read this: [ChatGPT Prompt Engineering Tips: Zero, One and Few Shot Prompting](https://www.allabtai.com/prompt-engineering-tips-zero-one-and-few-shot-prompting/).
 
 ## 主要功能
 
@@ -360,9 +361,11 @@ If you want to add a new translation, read this [document](./docs/translation.md
 [@Licoy](https://github.com/Licoy)
 [@shangmin2009](https://github.com/shangmin2009)
 
-### Contributor
+### Contributors
 
-[Contributors](https://github.com/Yidadaa/ChatGPT-Next-Web/graphs/contributors)
+<a href="https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=ChatGPTNextWeb/ChatGPT-Next-Web" />
+</a>
 
 ## LICENSE
 

app/client/platforms/google.ts

@@ -9,6 +9,7 @@ import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
 import Locale from "../../locales";
 import { getServerSideConfig } from "@/app/config/server";
+import de from "@/app/locales/de";
 export class GeminiProApi implements LLMApi {
   extractMessage(res: any) {
     console.log("[Response] gemini-pro response: ", res);
@@ -20,6 +21,7 @@ export class GeminiProApi implements LLMApi {
     );
   }
   async chat(options: ChatOptions): Promise<void> {
+    const apiClient = this;
     const messages = options.messages.map((v) => ({
       role: v.role.replace("assistant", "model").replace("system", "user"),
       parts: [{ text: v.content }],
@@ -57,12 +59,29 @@ export class GeminiProApi implements LLMApi {
         topP: modelConfig.top_p,
         // "topK": modelConfig.top_k,
       },
+      safetySettings: [
+        {
+          category: "HARM_CATEGORY_HARASSMENT",
+          threshold: "BLOCK_ONLY_HIGH",
+        },
+        {
+          category: "HARM_CATEGORY_HATE_SPEECH",
+          threshold: "BLOCK_ONLY_HIGH",
+        },
+        {
+          category: "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+          threshold: "BLOCK_ONLY_HIGH",
+        },
+        {
+          category: "HARM_CATEGORY_DANGEROUS_CONTENT",
+          threshold: "BLOCK_ONLY_HIGH",
+        },
+      ],
     };
 
     console.log("[Request] google payload: ", requestPayload);
 
-    // todo: support stream later
-    const shouldStream = false;
+    const shouldStream = !!options.config.stream;
     const controller = new AbortController();
     options.onController?.(controller);
     try {
@@ -82,13 +101,23 @@ export class GeminiProApi implements LLMApi {
       if (shouldStream) {
         let responseText = "";
         let remainText = "";
+        let streamChatPath = chatPath.replace(
+          "generateContent",
+          "streamGenerateContent",
+        );
         let finished = false;
 
+        let existingTexts: string[] = [];
+        const finish = () => {
+          finished = true;
+          options.onFinish(existingTexts.join(""));
+        };
+
         // animate response to make it looks smooth
         function animateResponseText() {
           if (finished || controller.signal.aborted) {
             responseText += remainText;
-            console.log("[Response Animation] finished");
+            finish();
             return;
           }
 
@@ -105,88 +134,56 @@ export class GeminiProApi implements LLMApi {
 
         // start animaion
         animateResponseText();
+        fetch(streamChatPath, chatPayload)
+          .then((response) => {
+            const reader = response?.body?.getReader();
+            const decoder = new TextDecoder();
+            let partialData = "";
 
-        const finish = () => {
-          if (!finished) {
-            finished = true;
-            options.onFinish(responseText + remainText);
-          }
-        };
+            return reader?.read().then(function processText({
+              done,
+              value,
+            }): Promise<any> {
+              if (done) {
+                console.log("Stream complete");
+                // options.onFinish(responseText + remainText);
+                finished = true;
+                return Promise.resolve();
+              }
 
-        controller.signal.onabort = finish;
+              partialData += decoder.decode(value, { stream: true });
 
-        fetchEventSource(chatPath, {
-          ...chatPayload,
-          async onopen(res) {
-            clearTimeout(requestTimeoutId);
-            const contentType = res.headers.get("content-type");
-            console.log(
-              "[OpenAI] request response content type: ",
-              contentType,
-            );
-
-            if (contentType?.startsWith("text/plain")) {
-              responseText = await res.clone().text();
-              return finish();
-            }
-
-            if (
-              !res.ok ||
-              !res.headers
-                .get("content-type")
-                ?.startsWith(EventStreamContentType) ||
-              res.status !== 200
-            ) {
-              const responseTexts = [responseText];
-              let extraInfo = await res.clone().text();
               try {
-                const resJson = await res.clone().json();
-                extraInfo = prettyObject(resJson);
-              } catch {}
+                let data = JSON.parse(ensureProperEnding(partialData));
 
-              if (res.status === 401) {
-                responseTexts.push(Locale.Error.Unauthorized);
+                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("");
+                }
+              } catch (error) {
+                // console.log("[Response Animation] error: ", error,partialData);
+                // skip error message when parsing json
               }
 
-              if (extraInfo) {
-                responseTexts.push(extraInfo);
-              }
-
-              responseText = responseTexts.join("\n\n");
-
-              return finish();
-            }
-          },
-          onmessage(msg) {
-            if (msg.data === "[DONE]" || finished) {
-              return finish();
-            }
-            const text = msg.data;
-            try {
-              const json = JSON.parse(text) as {
-                choices: Array<{
-                  delta: {
-                    content: string;
-                  };
-                }>;
-              };
-              const delta = json.choices[0]?.delta?.content;
-              if (delta) {
-                remainText += delta;
-              }
-            } catch (e) {
-              console.error("[Request] parse error", text);
-            }
-          },
-          onclose() {
-            finish();
-          },
-          onerror(e) {
-            options.onError?.(e);
-            throw e;
-          },
-          openWhenHidden: true,
-        });
+              return reader.read().then(processText);
+            });
+          })
+          .catch((error) => {
+            console.error("Error:", error);
+          });
       } else {
         const res = await fetch(chatPath, chatPayload);
         clearTimeout(requestTimeoutId);
@@ -220,3 +217,10 @@ export class GeminiProApi implements LLMApi {
     return "/api/google/" + path;
   }
 }
+
+function ensureProperEnding(str: string) {
+  if (str.startsWith("[") && !str.endsWith("]")) {
+    return str + "]";
+  }
+  return str;
+}

app/constant.ts

@@ -91,8 +91,7 @@ export const Azure = {
 };
 
 export const Google = {
-  ExampleEndpoint:
-    "https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent",
+  ExampleEndpoint: "https://generativelanguage.googleapis.com/",
   ChatPath: "v1beta/models/gemini-pro:generateContent",
 
   // /api/openai/v1/chat/completions

app/layout.tsx

@@ -4,6 +4,10 @@ import "./styles/markdown.scss";
 import "./styles/highlight.scss";
 import { getClientConfig } from "./config/client";
 import { type Metadata } from "next";
+import { SpeedInsights } from "@vercel/speed-insights/next";
+import { getServerSideConfig } from "./config/server";
+
+const serverConfig = getServerSideConfig();
 import { Providers } from "@/app/providers";
 import { Viewport } from "next";
 
@@ -43,6 +47,11 @@ export default function RootLayout({
       </head>
       <body>
         <Providers>{children}</Providers>
+        {serverConfig?.isVercel && (
+          <>
+            <SpeedInsights />
+          </>
+        )}
       </body>
     </html>
   );

app/locales/cn.ts

@@ -362,7 +362,7 @@ const cn = {
 
         Endpoint: {
           Title: "接口地址",
-          SubTitle: "样例：",
+          SubTitle: "不包含请求路径，样例：",
         },
 
         ApiVerion: {

app/page.tsx

@@ -18,7 +18,11 @@ export default async function App() {
   return (
     <>
       <Home />
-      {serverConfig?.isVercel && <Analytics />}
+      {serverConfig?.isVercel && (
+        <>
+          <Analytics />
+        </>
+      )}
     </>
   );
 }

app/store/chat.ts

@@ -689,7 +689,9 @@ export const useChatStore = createPersistStore(
         const contextPrompts = session.mask.context.slice();
 
         // system prompts, to get close to OpenAI Web ChatGPT
-        const shouldInjectSystemPrompts = modelConfig.enableInjectSystemPrompts;
+        const shouldInjectSystemPrompts =
+          modelConfig.enableInjectSystemPrompts &&
+          session.mask.modelConfig.model.startsWith("gpt-");
 
         var systemPrompts: ChatMessage[] = [];
         systemPrompts = shouldInjectSystemPrompts

package.json

@@ -24,6 +24,7 @@
     "@tremor/react": "^3.12.1",
     "@vercel/analytics": "^1.1.1",
     "echarts": "^5.4.3",
+    "@vercel/speed-insights": "^1.0.2",
     "emoji-picker-react": "^4.5.15",
     "fuse.js": "^7.0.0",
     "html-to-image": "^1.11.11",