Ollama suport

apps/web/src/components/commands.tsx

@@ -186,44 +186,68 @@ export function Commands() {
           step >= 5 ? "opacity-100" : "opacity-0",
         )}
       >
-        ◇ Which OpenAI model should be used for translations?
+        ◇ Which provider would you like to use??
       </span>
       <span
         className={cn(
           "transition-opacity duration-100",
           step >= 5 ? "opacity-100" : "opacity-0",
         )}
       >
-        │ ● GPT-4 (Default)
+        │ ● OpenAI
       </span>
       <span
         className={cn(
           "transition-opacity duration-100",
           step >= 5 ? "opacity-100" : "opacity-0",
         )}
+      >
+        │ ○ Ollama
+      </span>
+      <span
+        className={cn(
+          "transition-opacity duration-100",
+          step >= 6 ? "opacity-100" : "opacity-0",
+        )}
+      >
+        ◇ Which model should be used for translations?
+      </span>
+      <span
+        className={cn(
+          "transition-opacity duration-100",
+          step >= 6 ? "opacity-100" : "opacity-0",
+        )}
+      >
+        │ ● GPT-4 (Default)
+      </span>
+      <span
+        className={cn(
+          "transition-opacity duration-100",
+          step >= 6 ? "opacity-100" : "opacity-0",
+        )}
       >
         │ ○ GPT-4 Turbo
       </span>
       <span
         className={cn(
           "transition-opacity duration-100",
-          step >= 5 ? "opacity-100" : "opacity-0",
+          step >= 6 ? "opacity-100" : "opacity-0",
         )}
       >
         │ ○ GPT-4o
       </span>
       <span
         className={cn(
           "transition-opacity duration-100",
-          step >= 5 ? "opacity-100" : "opacity-0",
+          step >= 6 ? "opacity-100" : "opacity-0",
         )}
       >
         │ ○ GPT-4o mini
       </span>
       <span
         className={cn(
           "transition-opacity duration-100",
-          step >= 5 ? "opacity-100" : "opacity-0",
+          step >= 6 ? "opacity-100" : "opacity-0",
         )}
       >
         │ ○ GPT-3.5 Turbo
@@ -239,7 +263,7 @@ export function Commands() {
       <span
         className={cn(
           "transition-opacity duration-100 -ml-[1.5px]",
-          step >= 6 ? "opacity-100" : "opacity-0",
+          step >= 7 ? "opacity-100" : "opacity-0",
         )}
       >
         └ Configuration file and language files created successfully!

examples/next-international/languine.config.mjs

@@ -1,5 +1,5 @@
 export default {
-  version: "1.0.0",
+  version: "0.5.5",
   locale: {
     source: "en",
     targets: ["fr"],
@@ -9,7 +9,8 @@ export default {
       include: ["locales/[locale].ts"],
     },
   },
-  openai: {
-    model: "gpt-4-turbo",
+  llm: {
+    provider: "ollama",
+    model: "mistral:latest",
   },
 };

examples/next-international/locales/en.ts

@@ -1,7 +1,7 @@
 export default {
   hello: "Hello",
   welcome: "Hello {name}!",
-  "about.you": "Hello {name}! You have {age} yo",
+  "about.you": "Hello {name}! You have {age} years",
   "scope.test": "A scope",
   "scope.more.test": "A scope",
   "scope.more.param": "A scope with {param}",
@@ -11,4 +11,5 @@ export default {
   "missing.translation.in.fr": "This should work",
   "cows#one": "A cow",
   "cows#other": "{count} cows",
+  "languine.hello": "Hello Languine",
 } as const;

examples/next-international/locales/fr.ts

@@ -1,14 +1,15 @@
 export default {
   hello: "Bonjour",
-  welcome: "Bonjour {name} !",
-  "about.you": "Bonjour {name} ! Tu as {age} ans",
-  "scope.test": "Un domaine",
-  "scope.more.test": "Un domaine",
-  "scope.more.param": "Un domaine avec {param}",
-  "scope.more.and.more.test": "Un domaine",
+  welcome: "Bonjour {name}!",
+  "about.you": "Bonjour {name}! Vous avez {age} ans",
+  "scope.test": "Un scope",
+  "scope.more.test": "Un scope",
+  "scope.more.param": "Un scope avec {param}",
+  "scope.more.and.more.test": "Un scope",
   "scope.more.stars#one": "1 étoile sur GitHub",
   "scope.more.stars#other": "{count} étoiles sur GitHub",
   "missing.translation.in.fr": "Cela devrait fonctionner",
   "cows#one": "Une vache",
   "cows#other": "{count} vaches",
+  "languine.hello": "Hello Languine",
 } as const;

packages/cli/package.json

@@ -1,6 +1,6 @@
 {
   "name": "languine",
-  "version": "0.5.5",
+  "version": "0.5.6",
   "type": "module",
   "bin": "dist/index.js",
   "main": "dist/index.js",
@@ -23,6 +23,8 @@
     "diff": "^7.0.0",
     "dotenv": "^16.4.7",
     "simple-git": "^3.27.0",
+    "ollama": "^0.5.11",
+    "ollama-ai-provider": "^1.1.0",
     "zod": "^3.24.1"
   },
   "devDependencies": {

packages/cli/src/commands/init.ts

@@ -2,6 +2,8 @@ import { execSync } from "node:child_process";
 import fs from "node:fs/promises";
 import path from "node:path";
 import { intro, outro, select, text } from "@clack/prompts";
+import { providers } from "../providers.js";
+import type { Provider } from "../types.js";
 import { configPath } from "../utils.js";
 
 export async function init() {
@@ -51,32 +53,48 @@ export async function init() {
     ],
   })) as string;
 
+  const provider = (await select<Provider>({
+    message: "Which provider would you like to use?",
+    options: Object.values(providers),
+    initialValue: "openai",
+  })) as Provider;
+
+  if (provider === "ollama") {
+    try {
+      const ollamaBinary = execSync("which ollama").toString().trim();
+      if (!ollamaBinary) {
+        outro("Ollama binary not found. Please install Ollama");
+        process.exit(1);
+      }
+    } catch (error) {
+      outro("Ollama binary not found. Please install Ollama");
+      process.exit(1);
+    }
+  }
+
+  const models = await providers[provider].getModels();
+
   const model = (await select({
-    message: "Which OpenAI model should be used for translations?",
-    options: [
-      { value: "gpt-4-turbo", label: "GPT-4 Turbo (Default)" },
-      { value: "gpt-4", label: "GPT-4" },
-      { value: "gpt-4o", label: "GPT-4o" },
-      { value: "gpt-4o-mini", label: "GPT-4o mini" },
-      { value: "gpt-3.5-turbo", label: "GPT-3.5 Turbo" },
-    ],
-    initialValue: "gpt-4-turbo",
+    message: "Which model should be used for translations?",
+    options: models,
   })) as string;
 
   const configContent = `export default {
   version: "${require("../../package.json").version}",
   locale: {
     source: "${sourceLanguage}",
-    targets: ${JSON.stringify(targetLanguages.split(",").map((l) => l.trim()))}
+    targets: ${JSON.stringify(targetLanguages.split(",").map((l) => l.trim()))},
   },
   files: {
     ${fileFormat}: {
-      include: ["${filesDirectory}/[locale].${fileFormat}"]
-    }
+      include: ["${filesDirectory}/[locale].${fileFormat}"],
+    },
+  },
+  llm: {
+    provider: "${provider}",
+    model: "${model}",
+    temperature: 0,
   },
-  openai: {
-    model: "${model}"
-  }
 }`;
 
   try {

packages/cli/src/commands/translate.ts

@@ -1,13 +1,28 @@
 import fs from "node:fs/promises";
 import path from "node:path";
-import { createOpenAI } from "@ai-sdk/openai";
+import { type OpenAIProvider, createOpenAI } from "@ai-sdk/openai";
 import { intro, outro, spinner } from "@clack/prompts";
 import chalk from "chalk";
+import { type OllamaProvider, createOllama } from "ollama-ai-provider";
 import { simpleGit } from "simple-git";
 import { getTranslator } from "../translators/index.js";
 import type { PromptOptions, UpdateResult } from "../types.js";
+import type { Config, Provider } from "../types.js";
 import { getApiKey, getConfig } from "../utils.js";
 
+const providersMap: Record<Provider, OpenAIProvider | OllamaProvider> = {
+  openai: createOpenAI({
+    apiKey: await getApiKey("OpenAI", "OPENAI_API_KEY"),
+  }),
+  ollama: createOllama(),
+};
+
+function getModel(config: Config) {
+  const provider = providersMap[config.llm.provider];
+
+  return provider(config.llm.model);
+}
+
 export async function translate(targetLocale?: string, force = false) {
   intro("Starting translation process...");
 
@@ -28,12 +43,7 @@ export async function translate(targetLocale?: string, force = false) {
 
   const git = simpleGit();
 
-  // Initialize OpenAI
-  const openai = createOpenAI({
-    apiKey: await getApiKey("OpenAI", "OPENAI_API_KEY"),
-  });
-
-  const model = openai(config.openai.model);
+  const model = getModel(config);
 
   const s = spinner();
   s.start("Checking for changes and translating to target locales...");
@@ -120,7 +130,12 @@ export async function translate(targetLocale?: string, force = false) {
             summary,
           };
         } catch (error) {
-          return { locale, sourcePath, success: false, error };
+          return {
+            locale,
+            sourcePath,
+            success: false,
+            error,
+          };
         }
       }),
     ),

packages/cli/src/envs.ts

@@ -0,0 +1,2 @@
+import dotenv from "dotenv";
+dotenv.config();

packages/cli/src/index.ts

@@ -1,8 +1,6 @@
 #!/usr/bin/env node
 
-import dotenv from "dotenv";
-dotenv.config();
-
+import "./envs.js";
 import { select } from "@clack/prompts";
 import chalk from "chalk";
 import dedent from "dedent";

packages/cli/src/prompt.ts

@@ -8,7 +8,6 @@ Translation Requirements:
 - Keep all technical identifiers unchanged
 - Keep consistent capitalization, spacing, and line breaks
 - Respect existing whitespace and newline patterns
-- Never add space before a ! or ?
 `;
 
 export function createBasePrompt(text: string, options: PromptOptions) {

packages/cli/src/providers.ts

@@ -0,0 +1,50 @@
+import { outro } from "@clack/prompts";
+import chalk from "chalk";
+import ollama from "ollama";
+import type { Provider } from "./types.js";
+
+type ModelInfo = {
+  value: string;
+  label: string;
+};
+
+type ProviderConfig = {
+  value: Provider;
+  label: string;
+  getModels: () => Promise<ModelInfo[]>;
+};
+
+export const providers: Record<Provider, ProviderConfig> = {
+  openai: {
+    value: "openai",
+    label: "OpenAI",
+    getModels: async () => [
+      { value: "gpt-4-turbo", label: "GPT-4 Turbo (Default)" },
+      { value: "gpt-4", label: "GPT-4" },
+      { value: "gpt-4o", label: "GPT-4o" },
+      { value: "gpt-4o-mini", label: "GPT-4o mini" },
+      { value: "gpt-3.5-turbo", label: "GPT-3.5 Turbo" },
+    ],
+  },
+  ollama: {
+    value: "ollama",
+    label: "Ollama",
+    getModels: async () => {
+      try {
+        const { models } = await ollama.list();
+
+        return models.map((model) => ({
+          value: model.name,
+          label: model.name,
+        }));
+      } catch {
+        outro(
+          chalk.red(
+            "Failed to get models from Ollama, is it installed and running?",
+          ),
+        );
+        process.exit(1);
+      }
+    },
+  },
+};