127 lines
3.0 KiB
Plaintext
127 lines
3.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a8941402-99ee-4c3e-b852-056df3a77a5d",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pyttsx3\n",
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"import ollama\n",
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"import gradio as gr\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2cbdc0ca-648a-40cc-ad30-ad8bf6126aed",
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"metadata": {},
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"outputs": [],
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"source": [
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"def talker(response):\n",
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" # Initialize text-to-speech engine\n",
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" engine = pyttsx3.init()\n",
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" engine.say(response)\n",
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" engine.runAndWait()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6a5b4f3c-2c6f-46db-bc66-386b30e2e707",
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"metadata": {},
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"outputs": [],
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"source": [
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"system_message = \"you are a helpful assistance\"\n",
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"MODEL_LLAMA = \"llama3.2\"\n",
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"\n",
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"\n",
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"def chat(message, history):\n",
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" messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
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"\n",
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" response= ollama.chat(model=MODEL_LLAMA, messages=messages)\n",
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"\n",
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" response = response['message']['content']\n",
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"\n",
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" # Once the full response is generated, speak it out loud\n",
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"\n",
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" talker(response)\n",
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"\n",
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" return response\n",
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" \n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cfdb3be4-a9cb-4564-87d8-4645ce0177b5",
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"metadata": {},
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"outputs": [],
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"source": [
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"gr.ChatInterface(fn=chat, type=\"messages\").launch(share=True)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "38155307-6975-49ef-b65f-7d7b1dd82d32",
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"metadata": {},
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"source": [
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"# Real life use as a Translator"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "fa6e4b93-27e3-4455-80ca-eb7e39d13afc",
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"metadata": {},
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"outputs": [],
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"source": [
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"system_message = \"you are helpful translator from english to korean, on the first prompt introduce your self \\\n",
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"that you are dealing with korean translation and you would like to translate some english words or sentences to korean\" \n",
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"system_message += \"dont do other tasks apart from translation\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c0ed5e28-b294-40fc-a97c-11fe264a4d1d",
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"metadata": {},
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"outputs": [],
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"source": [
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"gr.ChatInterface(fn=chat, type=\"messages\").launch(share=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c63a02ae-cdc1-45a8-8f51-784d8d5417e2",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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