feat(package): bump version

Fix: IOS Input Zoom / Support PWA Home Screen App, closes #458

.gitignore

@@ -37,3 +37,5 @@ Thumbs.db
 # Db
 db.sqlite
 /searxng
+
+certificates

README.md

@@ -16,7 +16,7 @@
 
 <hr/>
 
-[![Discord](https://dcbadge.vercel.app/api/server/26aArMy8tT?style=flat&compact=true)](https://discord.gg/26aArMy8tT)
+[![Discord](https://dcbadge.limes.pink/api/server/26aArMy8tT?style=flat)](https://discord.gg/26aArMy8tT)
 
 ![preview](.assets/perplexica-screenshot.png?)
 
@@ -90,6 +90,9 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
    - `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
    - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.
    - `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**.
+   - `Gemini`: Your Gemini API key. **You only need to fill this if you wish to use Google's models**.
+   - `DEEPSEEK`: Your Deepseek API key. **Only needed if you want Deepseek models.**
+   - `AIMLAPI`: Your AI/ML API key. **Only needed if you want to use AI/ML API models and embeddings.**
 
      **Note**: You can change these after starting Perplexica from the settings dialog.
 
@@ -111,7 +114,7 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 2. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
 3. After populating the configuration run `npm i`.
 4. Install the dependencies and then execute `npm run build`.
-5. Finally, start the app by running `npm rum start`
+5. Finally, start the app by running `npm run start`
 
 **Note**: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies.
 
@@ -132,7 +135,7 @@ If you're encountering an Ollama connection error, it is likely due to the backe
 
 3. **Linux Users - Expose Ollama to Network:**
 
-   - Inside `/etc/systemd/system/ollama.service`, you need to add `Environment="OLLAMA_HOST=0.0.0.0"`. Then restart Ollama by `systemctl restart ollama`. For more information see [Ollama docs](https://github.com/ollama/ollama/blob/main/docs/faq.md#setting-environment-variables-on-linux)
+   - Inside `/etc/systemd/system/ollama.service`, you need to add `Environment="OLLAMA_HOST=0.0.0.0:11434"`. (Change the port number if you are using a different one.) Then reload the systemd manager configuration with `systemctl daemon-reload`, and restart Ollama by `systemctl restart ollama`. For more information see [Ollama docs](https://github.com/ollama/ollama/blob/main/docs/faq.md#setting-environment-variables-on-linux)
 
    - Ensure that the port (default is 11434) is not blocked by your firewall.
 

docs/installation/UPDATING.md

@@ -41,6 +41,6 @@ To update Perplexica to the latest version, follow these steps:
 3. Check for changes in the configuration files. If the `sample.config.toml` file contains new fields, delete your existing `config.toml` file, rename `sample.config.toml` to `config.toml`, and update the configuration accordingly.
 4. After populating the configuration run `npm i`.
 5. Install the dependencies and then execute `npm run build`.
-6. Finally, start the app by running `npm rum start`
+6. Finally, start the app by running `npm run start`
 
 ---

package.json

@@ -1,6 +1,6 @@
 {
   "name": "perplexica-frontend",
-  "version": "1.11.0-rc1",
+  "version": "1.11.0-rc2",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {

sample.config.toml

@@ -25,6 +25,9 @@ API_URL = "" # Ollama API URL - http://host.docker.internal:11434
 [MODELS.DEEPSEEK]
 API_KEY = ""
 
+[MODELS.AIMLAPI]
+API_KEY = "" # Required to use AI/ML API chat and embedding models
+
 [MODELS.LM_STUDIO]
 API_URL = "" # LM Studio API URL - http://host.docker.internal:1234
 

src/app/api/config/route.ts

@@ -8,6 +8,7 @@ import {
   getOllamaApiEndpoint,
   getOpenaiApiKey,
   getDeepseekApiKey,
+  getAimlApiKey,
   getLMStudioApiEndpoint,
   updateConfig,
 } from '@/lib/config';
@@ -57,6 +58,7 @@ export const GET = async (req: Request) => {
     config['groqApiKey'] = getGroqApiKey();
     config['geminiApiKey'] = getGeminiApiKey();
     config['deepseekApiKey'] = getDeepseekApiKey();
+    config['aimlApiKey'] = getAimlApiKey();
     config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
     config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
     config['customOpenaiModelName'] = getCustomOpenaiModelName();
@@ -95,6 +97,9 @@ export const POST = async (req: Request) => {
         DEEPSEEK: {
           API_KEY: config.deepseekApiKey,
         },
+        AIMLAPI: {
+          API_KEY: config.aimlApiKey,
+        },
         LM_STUDIO: {
           API_URL: config.lmStudioApiUrl,
         },

src/app/globals.css

@@ -11,3 +11,11 @@
     display: none;
   }
 }
+
+@media screen and (-webkit-min-device-pixel-ratio: 0) {
+  select,
+  textarea,
+  input {
+    font-size: 16px !important;
+  }
+}

src/app/manifest.ts

@@ -0,0 +1,54 @@
+import type { MetadataRoute } from 'next';
+
+export default function manifest(): MetadataRoute.Manifest {
+  return {
+    name: 'Perplexica - Chat with the internet',
+    short_name: 'Perplexica',
+    description:
+      'Perplexica is an AI powered chatbot that is connected to the internet.',
+    start_url: '/',
+    display: 'standalone',
+    background_color: '#0a0a0a',
+    theme_color: '#0a0a0a',
+    screenshots: [
+      {
+        src: '/screenshots/p1.png',
+        form_factor: 'wide',
+        sizes: '2560x1600',
+      },
+      {
+        src: '/screenshots/p2.png',
+        form_factor: 'wide',
+        sizes: '2560x1600',
+      },
+      {
+        src: '/screenshots/p1_small.png',
+        form_factor: 'narrow',
+        sizes: '828x1792',
+      },
+      {
+        src: '/screenshots/p2_small.png',
+        form_factor: 'narrow',
+        sizes: '828x1792',
+      },
+    ],
+    icons: [
+      {
+        src: '/icon-50.png',
+        sizes: '50x50',
+        type: 'image/png' as const,
+      },
+      {
+        src: '/icon-100.png',
+        sizes: '100x100',
+        type: 'image/png',
+      },
+      {
+        src: '/icon.png',
+        sizes: '440x440',
+        type: 'image/png',
+        purpose: 'any',
+      },
+    ],
+  };
+}

src/app/settings/page.tsx

@@ -23,6 +23,7 @@ interface SettingsType {
   ollamaApiUrl: string;
   lmStudioApiUrl: string;
   deepseekApiKey: string;
+  aimlApiKey: string;
   customOpenaiApiKey: string;
   customOpenaiApiUrl: string;
   customOpenaiModelName: string;
@@ -862,6 +863,25 @@ const Page = () => {
                   />
                 </div>
 
+                <div className="flex flex-col space-y-1">
+                  <p className="text-black/70 dark:text-white/70 text-sm">
+                    AI/ML API Key
+                  </p>
+                  <Input
+                    type="text"
+                    placeholder="AI/ML API Key"
+                    value={config.aimlApiKey}
+                    isSaving={savingStates['aimlApiKey']}
+                    onChange={(e) => {
+                      setConfig((prev) => ({
+                        ...prev!,
+                        aimlApiKey: e.target.value,
+                      }));
+                    }}
+                    onSave={(value) => saveConfig('aimlApiKey', value)}
+                  />
+                </div>
+
                 <div className="flex flex-col space-y-1">
                   <p className="text-black/70 dark:text-white/70 text-sm">
                     LM Studio API URL

src/components/ChatWindow.tsx

@@ -82,14 +82,29 @@ const checkConfig = async (
     ) {
       if (!chatModel || !chatModelProvider) {
         const chatModelProviders = providers.chatModelProviders;
+        const chatModelProvidersKeys = Object.keys(chatModelProviders);
 
-        chatModelProvider =
-          chatModelProvider || Object.keys(chatModelProviders)[0];
+        if (!chatModelProviders || chatModelProvidersKeys.length === 0) {
+          return toast.error('No chat models available');
+        } else {
+          chatModelProvider =
+            chatModelProvidersKeys.find(
+              (provider) =>
+                Object.keys(chatModelProviders[provider]).length > 0,
+            ) || chatModelProvidersKeys[0];
+        }
+
+        if (
+          chatModelProvider === 'custom_openai' &&
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0
+        ) {
+          toast.error(
+            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
+          );
+          return setHasError(true);
+        }
 
         chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
-
-        if (!chatModelProviders || Object.keys(chatModelProviders).length === 0)
-          return toast.error('No chat models available');
       }
 
       if (!embeddingModel || !embeddingModelProvider) {
@@ -117,7 +132,8 @@ const checkConfig = async (
 
       if (
         Object.keys(chatModelProviders).length > 0 &&
-        !chatModelProviders[chatModelProvider]
+        (!chatModelProviders[chatModelProvider] ||
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0)
       ) {
         const chatModelProvidersKeys = Object.keys(chatModelProviders);
         chatModelProvider =
@@ -132,6 +148,16 @@ const checkConfig = async (
         chatModelProvider &&
         !chatModelProviders[chatModelProvider][chatModel]
       ) {
+        if (
+          chatModelProvider === 'custom_openai' &&
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0
+        ) {
+          toast.error(
+            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
+          );
+          return setHasError(true);
+        }
+
         chatModel = Object.keys(
           chatModelProviders[
             Object.keys(chatModelProviders[chatModelProvider]).length > 0
@@ -139,6 +165,7 @@ const checkConfig = async (
               : Object.keys(chatModelProviders)[0]
           ],
         )[0];
+
         localStorage.setItem('chatModel', chatModel);
       }
 

src/components/EmptyChat.tsx

@@ -1,6 +1,5 @@
 import { Settings } from 'lucide-react';
 import EmptyChatMessageInput from './EmptyChatMessageInput';
-import { useEffect, useState } from 'react';
 import { File } from './ChatWindow';
 import Link from 'next/link';
 import WeatherWidget from './WeatherWidget';
@@ -34,26 +33,28 @@ const EmptyChat = ({
           <Settings className="cursor-pointer lg:hidden" />
         </Link>
       </div>
-      <div className="flex flex-col items-center justify-center min-h-screen max-w-screen-sm mx-auto p-2 space-y-8">
-        <h2 className="text-black/70 dark:text-white/70 text-3xl font-medium -mt-8">
-          Research begins here.
-        </h2>
-        <EmptyChatMessageInput
-          sendMessage={sendMessage}
-          focusMode={focusMode}
-          setFocusMode={setFocusMode}
-          optimizationMode={optimizationMode}
-          setOptimizationMode={setOptimizationMode}
-          fileIds={fileIds}
-          setFileIds={setFileIds}
-          files={files}
-          setFiles={setFiles}
-        />
+      <div className="flex flex-col items-center justify-center min-h-screen max-w-screen-sm mx-auto p-2 space-y-4">
+        <div className="flex flex-col items-center justify-center w-full space-y-8">
+          <h2 className="text-black/70 dark:text-white/70 text-3xl font-medium -mt-8">
+            Research begins here.
+          </h2>
+          <EmptyChatMessageInput
+            sendMessage={sendMessage}
+            focusMode={focusMode}
+            setFocusMode={setFocusMode}
+            optimizationMode={optimizationMode}
+            setOptimizationMode={setOptimizationMode}
+            fileIds={fileIds}
+            setFileIds={setFileIds}
+            files={files}
+            setFiles={setFiles}
+          />
+        </div>
         <div className="flex flex-col w-full gap-4 mt-2 sm:flex-row sm:justify-center">
-          <div className="flex-1 max-w-xs">
+          <div className="flex-1 w-full">
             <WeatherWidget />
           </div>
-          <div className="flex-1 max-w-xs">
+          <div className="flex-1 w-full">
             <NewsArticleWidget />
           </div>
         </div>

src/components/WeatherWidget.tsx

@@ -31,30 +31,40 @@ const WeatherWidget = () => {
         city: string;
       }) => void,
     ) => {
-      /* 
-          // Geolocation doesn't give city so we'll country using ipapi for now
-            if (navigator.geolocation) {
-            const result = await navigator.permissions.query({
-              name: 'geolocation',
-            })
-    
-            if (result.state === 'granted') {
-              navigator.geolocation.getCurrentPosition(position => {
-                callback({
-                  latitude: position.coords.latitude,
-                  longitude: position.coords.longitude,
-                })
-              })
-            } else if (result.state === 'prompt') {
-              callback(await getApproxLocation())
-              navigator.geolocation.getCurrentPosition(position => {})
-            } else if (result.state === 'denied') {
-              callback(await getApproxLocation())
-            }
-          } else {
-            callback(await getApproxLocation())
-          } */
-      callback(await getApproxLocation());
+      if (navigator.geolocation) {
+        const result = await navigator.permissions.query({
+          name: 'geolocation',
+        });
+
+        if (result.state === 'granted') {
+          navigator.geolocation.getCurrentPosition(async (position) => {
+            const res = await fetch(
+              `https://api-bdc.io/data/reverse-geocode-client?latitude=${position.coords.latitude}&longitude=${position.coords.longitude}&localityLanguage=en`,
+              {
+                method: 'GET',
+                headers: {
+                  'Content-Type': 'application/json',
+                },
+              },
+            );
+
+            const data = await res.json();
+
+            callback({
+              latitude: position.coords.latitude,
+              longitude: position.coords.longitude,
+              city: data.locality,
+            });
+          });
+        } else if (result.state === 'prompt') {
+          callback(await getApproxLocation());
+          navigator.geolocation.getCurrentPosition((position) => {});
+        } else if (result.state === 'denied') {
+          callback(await getApproxLocation());
+        }
+      } else {
+        callback(await getApproxLocation());
+      }
     };
 
     getLocation(async (location) => {

src/lib/config.ts

@@ -35,6 +35,9 @@ interface Config {
     DEEPSEEK: {
       API_KEY: string;
     };
+    AIMLAPI: {
+      API_KEY: string;
+    };
     LM_STUDIO: {
       API_URL: string;
     };
@@ -85,6 +88,8 @@ export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
 
 export const getDeepseekApiKey = () => loadConfig().MODELS.DEEPSEEK.API_KEY;
 
+export const getAimlApiKey = () => loadConfig().MODELS.AIMLAPI.API_KEY;
+
 export const getCustomOpenaiApiKey = () =>
   loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
 

src/lib/providers/aimlapi.ts

@@ -0,0 +1,94 @@
+import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { getAimlApiKey } from '../config';
+import { ChatModel, EmbeddingModel } from '.';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { Embeddings } from '@langchain/core/embeddings';
+import axios from 'axios';
+
+export const PROVIDER_INFO = {
+  key: 'aimlapi',
+  displayName: 'AI/ML API',
+};
+
+interface AimlApiModel {
+  id: string;
+  name?: string;
+  type?: string;
+}
+
+const API_URL = 'https://api.aimlapi.com';
+
+export const loadAimlApiChatModels = async () => {
+  const apiKey = getAimlApiKey();
+
+  if (!apiKey) return {};
+
+  try {
+    const response = await axios.get(`${API_URL}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const chatModels: Record<string, ChatModel> = {};
+
+    response.data.data.forEach((model: AimlApiModel) => {
+      if (model.type === 'chat-completion') {
+        chatModels[model.id] = {
+          displayName: model.name || model.id,
+          model: new ChatOpenAI({
+            openAIApiKey: apiKey,
+            modelName: model.id,
+            temperature: 0.7,
+            configuration: {
+              baseURL: API_URL,
+            },
+          }) as unknown as BaseChatModel,
+        };
+      }
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading AI/ML API models: ${err}`);
+    return {};
+  }
+};
+
+export const loadAimlApiEmbeddingModels = async () => {
+  const apiKey = getAimlApiKey();
+
+  if (!apiKey) return {};
+
+  try {
+    const response = await axios.get(`${API_URL}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const embeddingModels: Record<string, EmbeddingModel> = {};
+
+    response.data.data.forEach((model: AimlApiModel) => {
+      if (model.type === 'embedding') {
+        embeddingModels[model.id] = {
+          displayName: model.name || model.id,
+          model: new OpenAIEmbeddings({
+            openAIApiKey: apiKey,
+            modelName: model.id,
+            configuration: {
+              baseURL: API_URL,
+            },
+          }) as unknown as Embeddings,
+        };
+      }
+    });
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading AI/ML API embeddings models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/gemini.ts

@@ -13,9 +13,17 @@ import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { Embeddings } from '@langchain/core/embeddings';
 
 const geminiChatModels: Record<string, string>[] = [
+  {
+    displayName: 'Gemini 2.5 Flash Preview 05-20',
+    key: 'gemini-2.5-flash-preview-05-20',
+  },
+  {
+    displayName: 'Gemini 2.5 Pro Preview',
+    key: 'gemini-2.5-pro-preview-05-06',
+  },
   {
     displayName: 'Gemini 2.5 Pro Experimental',
-    key: 'gemini-2.5-pro-exp-03-25',
+    key: 'gemini-2.5-pro-preview-05-06',
   },
   {
     displayName: 'Gemini 2.0 Flash',

src/lib/providers/index.ts

@@ -35,6 +35,11 @@ import {
   loadDeepseekChatModels,
   PROVIDER_INFO as DeepseekInfo,
 } from './deepseek';
+import {
+  loadAimlApiChatModels,
+  loadAimlApiEmbeddingModels,
+  PROVIDER_INFO as AimlApiInfo,
+} from './aimlapi';
 import {
   loadLMStudioChatModels,
   loadLMStudioEmbeddingsModels,
@@ -49,6 +54,7 @@ export const PROVIDER_METADATA = {
   gemini: GeminiInfo,
   transformers: TransformersInfo,
   deepseek: DeepseekInfo,
+  aimlapi: AimlApiInfo,
   lmstudio: LMStudioInfo,
   custom_openai: {
     key: 'custom_openai',
@@ -76,6 +82,7 @@ export const chatModelProviders: Record<
   anthropic: loadAnthropicChatModels,
   gemini: loadGeminiChatModels,
   deepseek: loadDeepseekChatModels,
+  aimlapi: loadAimlApiChatModels,
   lmstudio: loadLMStudioChatModels,
 };
 
@@ -87,6 +94,7 @@ export const embeddingModelProviders: Record<
   ollama: loadOllamaEmbeddingModels,
   gemini: loadGeminiEmbeddingModels,
   transformers: loadTransformersEmbeddingsModels,
+  aimlapi: loadAimlApiEmbeddingModels,
   lmstudio: loadLMStudioEmbeddingsModels,
 };