import * as fal from "npm:@fal-ai/serverless-client";
fal.config({
credentials: Deno.env.get("FAL_KEY"),
});
export const realtimeGenerateImageHandler = async (req: Request): Promise<Response> => {
const { prompt, model } = await req.json();
const body = new ReadableStream({
async start(controller) {
const delimiter = '--boundary--';
const write = (msg: any) => {
controller.enqueue(new TextEncoder().encode(msg));
controller.enqueue(new TextEncoder().encode(delimiter));
};
try {
console.log("Starting real-time image generation...");
const result = await new Promise((resolve, reject) => {
const connection = fal.realtime.connect(model, {
onResult: (result) => {
console.log("Received result from fal.realtime.connect");
resolve(result);
},
onError: (error) => {
console.error("Error during real-time image generation:", error);
reject(error);
},
});
console.log("Sending prompt to fal.realtime.connect");
connection.send({
prompt,
num_images: 4,
});
});
console.log("Generation completed. Result:", result);
if (result.images && Array.isArray(result.images)) {
const imageUrls = result.images.map((imageObj: any) => {
if (imageObj && imageObj.url) {
return imageObj.url;
} else {
console.warn("Invalid image object:", imageObj);
return null;
}
});
write(JSON.stringify({ urls: imageUrls }));
} else {
console.error("Invalid or missing 'images' property in the result. Result:", result);
write(JSON.stringify({ error: "Invalid response received from the server." }));
}
console.log("All image data sent");
} catch (error) {
console.error("Error in realtimeGenerateImageHandler:", error);
write(JSON.stringify({ error: error.message }));
}
controller.close();
console.log("ReadableStream closed");
},
});
return new Response(body);
};