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1165        <meta property="og:description" content="Turn your ideas into fully functional apps in less than a second – powered by Llama3.3-70b on Cerebras's super-fast wafer chips. Code is 100% open-source, hosted on Val Town."">
1166        <meta property="og:type" content="website">
1167        <meta property="og:image" content="https://stevekrouse-blob_admin.web.val.run/api/public/CerebrasCoderOG.jpg">
1168        
1169            

16};
17
18type ImageData = {
19  type: "image";
20  text: string;
21  name?: string | undefined;
48};
49
50export type Data = BooleanData | TextData | ImageData | SpeechData | WebsiteData | FileData;
51
52type DataComponentRequestBody = {

16};
17
18type ImageData = {
19  type: "image";
20  text: string;
21  name?: string | undefined;
48};
49
50export type Data = BooleanData | TextData | ImageData | SpeechData | WebsiteData | FileData;
51
52type DataComponentRequestBody = {

1165        <meta property="og:description" content="Turn your ideas into fully functional apps in less than a second – powered by Llama3.3-70b on Cerebras's super-fast wafer chips. Code is 100% open-source, hosted on Val Town."">
1166        <meta property="og:type" content="website">
1167        <meta property="og:image" content="https://stevekrouse-blob_admin.web.val.run/api/public/CerebrasCoderOG.jpg">
1168        
1169            

2
3const basePrompt =
4  `Generate an image generation model prompt (description) for the previous image, in the Simpsons cartoon style
5  Be extremely detailed in describing:
6  - Hair color
15  - Lighting and shadows
16  - Any props or accessories
17  The final result should result in a image of 2d Simpsons figures that look like the original.
18  Output only the prompt and nothing else.`;
19
20const settings = {
21  text_bot: "gpt-4o",
22  image_bot: "FLUX-pro-1.1",
23};
24
31    const url = new URL(httpReq.url);
32
33    const imageDescriptionPrompt = basePrompt;
34
35    if (!imgUrl) {
36      yield "Please upload a image";
37      yield events.done();
38    }
39    let baseStatus = "Analyzing image";
40
41    const msgToForward = { ...req.query.at(-1) };
42    msgToForward.content = "Describe the contents of this image";
43
44    msgToForward.content = imageDescriptionPrompt;
45    const query = {
46      ...req,
47      query: [{
48        ...lastMsg,
49        content: imageDescriptionPrompt,
50        role: "user",
51        attachments: lastMsg?.attachments,
59    let text = "";
60    console.log("sending to gpt4o", query);
61    yield `Analyzing image...`;
62    for await (const msg of gpt4oQuery) {
63      if (msg.event == "text") {
73    }
74
75    const imageQuery = {
76      ...req,
77      query: [{
80      }],
81    };
82    const imageStream = forward({
83      toBotName: settings.image_bot,
84      query: imageQuery,
85      accessKey: req.access_key,
86    });
87    for await (const msg of imageStream) {
88      yield msg;
89    }
95    server_bot_dependencies: {
96      [settings.text_bot]: 1,
97      [settings.image_bot]: 1,
98    },
99    introduction_message: "Send me a picture and I will make it cartoon like.",

13    const content = lastMsg?.content?.trim();
14    if (!url) {
15      yield "Please send a image";
16      yield events.done();
17    }
18
19    yield events.replace("Generating image");
20    let success = null;
21    let error = null;
22    replicate.run("jagilley/controlnet-scribble:435061a1b5a4c1e26740464bf786efdfa9cb3a3ac488595a2de23e143fdb0117", {
23      input: {
24        image: url,
25        prompt: content || "photorealistic",
26      },
35    while (!success && !error) {
36      console.log("waiting", success, error);
37      yield events.replace(`Generating image (${seconds++} seconds)`);
38      await sleep(1000);
39      if (seconds > 30) {
51    } else {
52      console.log("success!", success);
53      yield events.replace(`![generated image](${success?.[1]})\n\n`);
54      yield "\n";
55    }

13    const content = lastMsg?.content?.trim();
14    if (!url) {
15      yield "Please send a image";
16      yield events.done();
17    }
18
19    yield events.replace("Generating image");
20    let success = null;
21    let error = null;
22    replicate.run("jagilley/controlnet-scribble:435061a1b5a4c1e26740464bf786efdfa9cb3a3ac488595a2de23e143fdb0117", {
23      input: {
24        image: url,
25        prompt: content || "photorealistic",
26      },
35    while (!success && !error) {
36      console.log("waiting", success, error);
37      yield events.replace(`Generating image (${seconds++} seconds)`);
38      await sleep(1000);
39      if (seconds > 30) {
51    } else {
52      console.log("success!", success);
53      yield events.replace(`![generated image](${success?.[1]})\n\n`);
54      yield "\n";
55    }

16};
17
18type ImageData = {
19  type: "image";
20  text: string;
21  name?: string | undefined;
48};
49
50export type Data = BooleanData | TextData | ImageData | SpeechData | WebsiteData | FileData;
51
52type DataComponentRequestBody = {

16};
17
18type ImageData = {
19  type: "image";
20  text: string;
21  name?: string | undefined;
40};
41
42export type Data = BooleanData | TextData | ImageData | SpeechData | WebsiteData;
43
44export default async function(req: Request): Promise<Response> {

3This is a lightweight Blob Admin interface to view and debug your Blob data.
4
5![Screenshot 2024-11-22 at 15.43.43@2x.png](https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/d075a4ee-93ec-4cdd-4823-7c8aee593f00/public)
6
7Versions 0-17 of this val were done with Hono and server-rendering.