Fix some bugs (#101)
* fix whisper large model download url ref: #93 * remove default baseURL for openAI * add log for conversation
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@@ -34,7 +34,7 @@ export const WHISPER_MODELS_OPTIONS = [
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type: "large",
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name: "ggml-large.bin",
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size: "3.09 GB",
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url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large.bin",
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url: "https://huggingface.co/ggerganov/whisper.cpp/blob/main/ggml-large-v3.bin",
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},
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];
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@@ -86,7 +86,8 @@
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"ttsVoice": "TTS voice",
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"ttsBaseUrl": "TTS base URL",
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"notFound": "Conversation not found",
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"contentRequired": "Content required"
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"contentRequired": "Content required",
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"failedToGenerateResponse": "Failed to generate response"
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},
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"pronunciationAssessment": {
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"pronunciationScore": "Pronunciation Score",
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@@ -86,7 +86,8 @@
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"ttsVoice": "TTS 声音",
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"ttsBaseUrl": "TTS 请求地址",
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"notFound": "未找到对话",
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"contentRequired": "对话内容不能为空"
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"contentRequired": "对话内容不能为空",
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"failedToGenerateResponse": "生成失败"
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},
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"pronunciationAssessment": {
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"pronunciationScore": "发音得分",
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@@ -267,13 +267,14 @@ export class Conversation extends Model<Conversation> {
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const chain = await this.chain();
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let response: Generation[] = [];
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await chain.call({ input: content }, [
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const result = await chain.call({ input: content }, [
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{
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handleLLMEnd: async (output) => {
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response = output.generations[0];
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},
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},
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]);
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logger.debug("LLM result:", result);
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if (!response) {
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throw new Error(t("models.conversation.failedToGenerateResponse"));
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@@ -627,8 +627,6 @@ export const LLM_PROVIDERS: { [key: string]: any } = {
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openai: {
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name: "OpenAI",
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description: t("youNeedToSetupApiKeyBeforeUsingOpenAI"),
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baseUrl:
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"https://gateway.ai.cloudflare.com/v1/11d43ab275eb7e1b271ba4089ecc3864/enjoy/openai",
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models: [
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"gpt-3.5-turbo-1106",
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"gpt-3.5-turbo",
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