yearly maintenance update

README.md

@@ -8,7 +8,7 @@ pinned: false
 app_port: 7860
 ---
 
-Generate Hugging Face Spaces using meta-llama/Meta-Llama-3-70B-Instruct
+Generate Hugging Face Spaces using deepseek-ai/DeepSeek-V3-0324
 
 The apps may not always work and usually human work is necessary to finish them.
 See this project as "Hugging Face Space templates on steroids".

public/index.html

@@ -64,8 +64,8 @@
             <div class="flex flex-col text-stone-700 space-y-1 md:space-y-2">
               <p class="text-stone-700">
                 Model used:
-                <a href="https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct" class="underline" target="_blank">
-                  meta-llama/Meta-Llama-3-70B-Instruct (you need to accept the terms)
+                <a href="https://huggingface.co/deepseek-ai/DeepSeek-V3-0324" class="underline" target="_blank">
+                  deepseek-ai/DeepSeek-V3-0324
                 </a>
               </p>
               <p>Powered by 🤗 <a href="https://huggingface.co/inference-api" class="underline" target="_blank">Inference API</a></p>
@@ -74,7 +74,7 @@
               </p>
               <p class="text-stone-700" x-show="state === 'streaming'">
                 Content size: <span x-text="humanFileSize(size, true, 2)"></span>. This version generates up
-                to 4096 tokens.
+                to 7000 tokens.
               </p>
             </div>
           </div>

src/generateFiles.mts

@@ -58,7 +58,7 @@ export const generateFiles = async (
         //  error: `inputs` must have less than 4096 tokens.
 
         // for Llama-3 it is 8192
-        max_new_tokens: 8192,
+        max_new_tokens: 7000, // 8192,
         temperature: 0.8,
         return_full_text: false,
       }

src/getFlutterApp.mts

@@ -0,0 +1,42 @@
+import { gradioDoc } from "./gradioDoc.mts"
+
+export function getFlutterApp(prompt: string) {
+  const prefix = "# In main.dart:\n```"
+
+  const instructions = [
+    {
+      role: "system",
+      content: [
+        `You are a Dart developer, expert at crafting Flutter applications.
+        You must generate valid Dart code. Don't forget the requirements.txt files!`,
+        `Here is an example of a Flutter application:`,
+        gradioDoc
+      ].filter(item => item).join("\n")
+    },
+    {
+      role: "user",
+      content: `Please write, file by file, the source code for a Flutter project.
+There is already a project with this structure:
+- lib/main.dart
+- pubspec.yaml
+- cooking_llama.iml
+
+
+Don't forget to write a README.md with the following header, or else you will be FIRED:
+\`\`\`
+---
+license: apache-2.0
+title: <app name>
+sdk: docker
+emoji: 👀
+colorFrom: green
+colorTo: blue
+---
+\`\`\`
+
+The app is about: ${prompt}`,
+    }
+  ]
+
+  return { prefix, files: [], instructions }
+}

src/getGradioApp.mts

@@ -17,12 +17,12 @@ export function getGradioApp(prompt: string) {
       content: `Please write, file by file, the source code for a Gradio project.
 
 You MUST use the following Python modules:
-- gradio (version 3.39.0)
+- gradio (version 5.23.3)
 
 You are free to use (if necessary) the following Python modules:
 - numpy
 - matplotlib
-- pytorch
+- torch
 - diffusers
 - transformers
 
@@ -32,7 +32,7 @@ Don't forget to write a README.md with the following header, or else you will be
 license: apache-2.0
 title: <app name>
 sdk: gradio
-sdk_version: 3.39.0
+sdk_version: 5.23.3
 app_file: app.py
 emoji: 👀
 colorFrom: green

src/getStreamlitApp.mts

@@ -19,7 +19,7 @@ export function getStreamlitApp(prompt: string) {
 Please limit yourself to the following Python modules:
 - numpy
 - matplotlib
-- pytorch
+- torch
 - diffusers
 - transformers