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@ -46,7 +46,7 @@ class LollmsClient {
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this.host_address = host_address;
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this.model_name = model_name;
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this.ctx_size = ctx_size;
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this.n_predict = n_predict;
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this.n_predict = n_predict?n_predict:4096;
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this.personality = personality;
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this.temperature = temperature;
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this.top_k = top_k;
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@ -145,6 +145,26 @@ class LollmsClient {
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throw new Error('Invalid generation mode');
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}
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}
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generate_with_images(prompt, images, {
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n_predict = null,
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stream = false,
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temperature = 0.1,
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top_k = 50,
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top_p = 0.95,
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repeat_penalty = 0.8,
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repeat_last_n = 40,
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seed = null,
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n_threads = 8,
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service_key = "",
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streamingCallback = null
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} = {}) {
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switch (this.default_generation_mode) {
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case ELF_GENERATION_FORMAT.LOLLMS:
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return this.lollms_generate_with_images(prompt, images, this.host_address, this.model_name, -1, n_predict, stream, temperature, top_k, top_p, repeat_penalty, repeat_last_n, seed, n_threads, service_key, streamingCallback);
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default:
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throw new Error('Invalid generation mode');
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}
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}
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async generateText(prompt, options = {}) {
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// Destructure with default values from `this` if not provided in `options`
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const {
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@ -203,12 +223,13 @@ class LollmsClient {
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} : {
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'Content-Type': 'application/json',
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};
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console.log("n_predict:",n_predict)
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console.log("self.n_predict:",this.n_predict)
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const data = JSON.stringify({
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prompt: prompt,
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model_name: model_name,
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personality: personality,
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n_predict: n_predict?n_predict:self.n_predict,
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n_predict: n_predict?n_predict:this.n_predict,
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stream: stream,
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temperature: temperature,
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top_k: top_k,
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@ -240,7 +261,59 @@ class LollmsClient {
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return null;
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}
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}
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async lollms_generate_with_images(prompt, images, host_address = this.host_address, model_name = this.model_name, personality = this.personality, n_predict = this.n_predict, stream = false, temperature = this.temperature, top_k = this.top_k, top_p = this.top_p, repeat_penalty = this.repeat_penalty, repeat_last_n = this.repeat_last_n, seed = this.seed, n_threads = this.n_threads, service_key = this.service_key, streamingCallback = null) {
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let url;
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if(host_address!=null){
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url = `${host_address}/lollms_generate_with_images`;
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}
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else{
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url = `/lollms_generate_with_images`;
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}
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const headers = service_key !== "" ? {
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'Content-Type': 'application/json; charset=utf-8',
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'Authorization': `Bearer ${service_key}`,
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} : {
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'Content-Type': 'application/json',
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};
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console.log("n_predict:",n_predict)
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console.log("self.n_predict:",this.n_predict)
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const data = JSON.stringify({
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prompt: prompt,
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images: images,
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model_name: model_name,
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personality: personality,
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n_predict: n_predict?n_predict:this.n_predict,
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stream: stream,
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temperature: temperature,
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top_k: top_k,
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top_p: top_p,
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repeat_penalty: repeat_penalty,
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repeat_last_n: repeat_last_n,
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seed: seed,
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n_threads: n_threads
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});
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try {
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const response = await fetch(url, {
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method: 'POST',
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headers: headers,
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body: data
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});
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// Check if the response is okay
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if (!response.ok) {
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throw new Error('Network response was not ok ' + response.statusText);
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}
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// Read the response as plaintext
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const responseBody = await response.text();
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console.log(responseBody)
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return responseBody ;
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} catch (error) {
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console.error(error);
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return null;
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}
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}
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async openai_generate(prompt, host_address = this.host_address, model_name = this.model_name, personality = this.personality, n_predict = this.n_predict, stream = false, temperature = this.temperature, top_k = this.top_k, top_p = this.top_p, repeat_penalty = this.repeat_penalty, repeat_last_n = this.repeat_last_n, seed = this.seed, n_threads = this.n_threads, ELF_COMPLETION_FORMAT = "vllm instruct", service_key = this.service_key, streamingCallback = null) {
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@ -1 +1 @@
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Subproject commit 3ddec9895d34cd66e25b09cdb15cd03e651c6a22
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Subproject commit 716b9fa86cd46375f23b9b3ac3ecf74ecc617356
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