Turning into public repo

Author: mbergo

.eslintrc.json

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+{
+  "extends": "next/core-web-vitals"
+}

.example.env

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+TOGETHER_API_KEY=
+
+# Optional, if you want observability
+HELICONE_API_KEY=

.gitignore

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+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.js
+.yarn/install-state.gz
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# local env files
+.env*.local
+.env
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts

.npmrc

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+force=true

.prettierrc

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+{
+  "plugins": ["prettier-plugin-tailwindcss"]
+}

CONTRIBUTING.md

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+# Contributing Guide
+
+Thank you for your interest in contributing to this project! We accept contributions via bug reports, feature requests and pull requests. We also have a roadmap outlined below.
+
+For simple fixes or small items on the roadmap below, feel free to submit a pull request. For anything more complex, please open an issue first to discuss the changes you want to make.
+
+## Running the repo
+
+To run the repo locally, simply `npm install` to install dependencies and then `npm run dev` to run the app.
+
+## Roadmap
+
+- [ ] Add self-correcting to the app so it can fix its own errors
+- [ ] Compressing prompt: Use small model like llama 3.1 70B to retain what happened in the past, good memory management is key
+- [ ] Add evals with Braintrust to be able to measure how good the system is over time and when making new changes
+- [ ] Add more good examples to the shadcn-examples.ts file (single components that span a whole app and use shadcn)
+- [ ] Add dynamic OG images to the specific generations & include the prompt + a screenshot in the image
+- [ ] Show a "featured apps" section on /gallery (or have some at the bottom of the homepage as templates). Have a /id/${prompt} dynamic route that can display a bunch of nice example apps in the sandbox ready to go
+- [ ] Try finetuning a smaller model on good prompts from deepseek-v2 or o1/Claude
+- [ ] Add dark mode to the site overall, nice design change
+- [ ] Support more languages starting with Python (like streamlit) and see if I can run them on CSB SDK
+
+## License
+
+By contributing, you agree that your contributions will be licensed under the project's license.

LICENSE

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+MIT License
+
+Copyright (c) 2024 Hassan El Mghari
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+<a href="https://www.llamacoder.io">
+  <img alt="Llama Coder" src="./public/og-image.png">
+  <h1 align="center">Llama Coder</h1>
+</a>
+
+<p align="center">
+  An open source Claude Artifacts – generate small apps with one prompt. Powered by Llama 3 on Together.ai.
+</p>
+
+## Tech stack
+
+- [Llama 3.1 405B](https://ai.meta.com/blog/meta-llama-3-1/) from Meta for the LLM
+- [Together AI](https://togetherai.link/?utm_source=example-app&utm_medium=llamacoder&utm_campaign=llamacoder-app-signup) for LLM inference
+- [Sandpack](https://sandpack.codesandbox.io/) for the code sandbox
+- Next.js app router with Tailwind
+- Helicone for observability
+- Plausible for website analytics
+
+## Cloning & running
+
+1. Clone the repo: `git clone https://github.com/Nutlope/llamacoder`
+2. Create a `.env` file and add your [Together AI API key](https://togetherai.link/?utm_source=example-app&utm_medium=llamacoder&utm_campaign=llamacoder-app-signup): `TOGETHER_API_KEY=`
+3. Run `npm install` and `npm run dev` to install dependencies and run locally
+
+## Contributing
+
+For contributing to the repo, please see the [contributing guide](./CONTRIBUTING.md)

app/(main)/actions.ts

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+"use server";
+
+import { getPrisma } from "@/lib/prisma";
+import {
+  getMainCodingPrompt,
+  screenshotToCodePrompt,
+  softwareArchitectPrompt,
+} from "@/lib/prompts";
+import { notFound } from "next/navigation";
+import Together from "together-ai";
+
+export async function createChat(
+  prompt: string,
+  model: string,
+  quality: "high" | "low",
+  screenshotUrl: string | undefined,
+) {
+  const prisma = getPrisma();
+  const chat = await prisma.chat.create({
+    data: {
+      model,
+      quality,
+      prompt,
+      title: "",
+      shadcn: true,
+    },
+  });
+
+  let options: ConstructorParameters<typeof Together>[0] = {};
+  if (process.env.HELICONE_API_KEY) {
+    options.baseURL = "https://together.helicone.ai/v1";
+    options.defaultHeaders = {
+      "Helicone-Auth": `Bearer ${process.env.HELICONE_API_KEY}`,
+      "Helicone-Property-appname": "LlamaCoder",
+      "Helicone-Session-Id": chat.id,
+      "Helicone-Session-Name": "LlamaCoder Chat",
+    };
+  }
+
+  const together = new Together(options);
+
+  async function fetchTitle() {
+    const responseForChatTitle = await together.chat.completions.create({
+      model: "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
+      messages: [
+        {
+          role: "system",
+          content:
+            "You are a chatbot helping the user create a simple app or script, and your current job is to create a succinct title, maximum 3-5 words, for the chat given their initial prompt. Please return only the title.",
+        },
+        {
+          role: "user",
+          content: prompt,
+        },
+      ],
+    });
+    const title = responseForChatTitle.choices[0].message?.content || prompt;
+    return title;
+  }
+
+  async function fetchTopExample() {
+    const findSimilarExamples = await together.chat.completions.create({
+      model: "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
+      messages: [
+        {
+          role: "system",
+          content: `You are a helpful bot. Given a request for building an app, you match it to the most similar example provided. If the request is NOT similar to any of the provided examples, return "none". Here is the list of examples, ONLY reply with one of them OR "none":
+
+          - landing page
+          - blog app
+          - quiz app
+          - pomodoro timer
+          `,
+        },
+        {
+          role: "user",
+          content: prompt,
+        },
+      ],
+    });
+
+    const mostSimilarExample =
+      findSimilarExamples.choices[0].message?.content || "none";
+    return mostSimilarExample;
+  }
+
+  const [title, mostSimilarExample] = await Promise.all([
+    fetchTitle(),
+    fetchTopExample(),
+  ]);
+
+  let fullScreenshotDescription;
+  if (screenshotUrl) {
+    const screenshotResponse = await together.chat.completions.create({
+      model: "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
+      temperature: 0.2,
+      max_tokens: 1000,
+      messages: [
+        {
+          role: "user",
+          content: [
+            { type: "text", text: screenshotToCodePrompt },
+            {
+              type: "image_url",
+              image_url: {
+                url: screenshotUrl,
+              },
+            },
+          ],
+        },
+      ],
+    });
+
+    fullScreenshotDescription = screenshotResponse.choices[0].message?.content;
+  }
+
+  let userMessage: string;
+  if (quality === "high") {
+    let initialRes = await together.chat.completions.create({
+      model: "Qwen/Qwen2.5-Coder-32B-Instruct",
+      messages: [
+        {
+          role: "system",
+          content: softwareArchitectPrompt,
+        },
+        {
+          role: "user",
+          content: fullScreenshotDescription
+            ? fullScreenshotDescription + prompt
+            : prompt,
+        },
+      ],
+      temperature: 0.2,
+      max_tokens: 3000,
+    });
+
+    userMessage = initialRes.choices[0].message?.content ?? prompt;
+  } else if (fullScreenshotDescription) {
+    userMessage =
+      prompt +
+      "RECREATE THIS APP AS CLOSELY AS POSSIBLE: " +
+      fullScreenshotDescription;
+  } else {
+    userMessage = prompt;
+  }
+
+  let newChat = await prisma.chat.update({
+    where: {
+      id: chat.id,
+    },
+    data: {
+      title,
+      messages: {
+        createMany: {
+          data: [
+            {
+              role: "system",
+              content: getMainCodingPrompt(mostSimilarExample),
+              position: 0,
+            },
+            { role: "user", content: userMessage, position: 1 },
+          ],
+        },
+      },
+    },
+    include: {
+      messages: true,
+    },
+  });
+
+  const lastMessage = newChat.messages
+    .sort((a, b) => a.position - b.position)
+    .at(-1);
+  if (!lastMessage) throw new Error("No new message");
+
+  return {
+    chatId: chat.id,
+    lastMessageId: lastMessage.id,
+  };
+}
+
+export async function createMessage(
+  chatId: string,
+  text: string,
+  role: "assistant" | "user",
+) {
+  const prisma = getPrisma();
+  const chat = await prisma.chat.findUnique({
+    where: { id: chatId },
+    include: { messages: true },
+  });
+  if (!chat) notFound();
+
+  const maxPosition = Math.max(...chat.messages.map((m) => m.position));
+
+  const newMessage = await prisma.message.create({
+    data: {
+      role,
+      content: text,
+      position: maxPosition + 1,
+      chatId,
+    },
+  });
+
+  return newMessage;
+}