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‎.github/labeler.yml‎

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'status:awaiting review':
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- '**/*'
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'component:demos':
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- demos/**/*
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'component:documentation':
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- site/**/*
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'demos:docs-agent':
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- demos/palm/python/docs-agent/**/*
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‎.github/workflows/stale.yml‎

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repo-token: ${{ secrets.GITHUB_TOKEN }}
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days-before-issue-stale: 14
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days-before-issue-close: 14
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stale-issue-label: "stale"
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stale-issue-label: "status:stale"
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close-issue-reason: not_planned
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any-of-labels: "status:awaiting user response,status:more data needed"
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stale-issue-message: >
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Please post a new issue if you need further assistance. Thanks!
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days-before-pr-stale: 14
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days-before-pr-close: 14
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stale-pr-label: "stale"
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stale-pr-label: "status:stale"
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stale-pr-message: >
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Marking this pull request as stale since it has been open for 14 days with no activity.
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This PR will be closed if no further activity occurs.

‎templates/aistudio_gemini_prompt_chat.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Tce3stUlHN0L"
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},
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"source": [
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"##### Copyright 2023 Google LLC"
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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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"metadata": {
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"id": "tuOe1ymfHZPu"
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},
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"outputs": [],
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"source": [
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"#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
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"# you may not use this file except in compliance with the License.\n",
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"# You may obtain a copy of the License at\n",
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"#\n",
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"# https://www.apache.org/licenses/LICENSE-2.0\n",
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"#\n",
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"# Unless required by applicable law or agreed to in writing, software\n",
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"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
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"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
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"# See the License for the specific language governing permissions and\n",
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"# limitations under the License."
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"## Setup"
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],
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"metadata": {
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"id": "FKwyTRdwB8aW"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Install & import\n"
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],
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"metadata": {
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"id": "rlE8UqxrDIez"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"!pip install google-generativelanguage"
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],
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"metadata": {
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"id": "cZiU4TKzznh9"
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},
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"execution_count": null,
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"outputs": []
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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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"metadata": {
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"id": "kWIuwKG2_oWE"
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},
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"outputs": [],
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"source": [
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"# Install the client library and import necessary modules.\n",
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"#!pip install google-generativeai\n",
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"import google.generativeai as genai\n",
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"import json\n",
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"import pathlib\n",
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"import pprint\n",
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"import requests\n",
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"import mimetypes\n",
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"from IPython.display import Markdown"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"\n",
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"\n",
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"### Mount Google Drive"
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],
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"metadata": {
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"id": "qZsRPVv1ITbh"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"from google.colab import drive\n",
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"drive.mount('/gdrive')"
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],
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"metadata": {
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"id": "d9-t_OkGoLIP"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"## Set the API key"
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],
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"metadata": {
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"id": "Fet3lFjdKHEM"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"Add your API_KEY to the secrets manager in the left pannel \"🔑\"."
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],
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"metadata": {
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"id": "ZoRWILAtCzBE"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"from google.colab import userdata\n",
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"\n",
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"API_KEY=userdata.get('API_KEY')"
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],
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"metadata": {
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"id": "LaLCwNlkCyQd"
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},
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"execution_count": null,
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"outputs": []
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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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"metadata": {
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"id": "_SvYoR3WCeKr"
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},
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"outputs": [],
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"source": [
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"# Configure the client library by providing your API key.\n",
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"genai.configure(api_key=API_KEY)"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Parse the arguments"
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],
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"metadata": {
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"id": "weo-o73WDpdm"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"import json\n",
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"\n",
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"model = \"gemini-pro\" # @param {isTemplate: true}\n",
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"contents = '[{\"role\":\"user\", \"parts\" : [{\"text\": \"hello\"}]}, {\"role\": \"model\", \"parts\": [{\"text\": \"Hello! How can I assist you today?\"}]}]' # @param {isTemplate: true}\n",
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"generation_config = \"{}\" # @param {isTemplate: true}\n",
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"safety_settings = \"{}\" # @param {isTemplate: true}\n",
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"user_input = 'How does electricity work?' #@param {isTemplate: true}\n",
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"\n",
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"contents = json.loads(contents)\n",
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"generation_config = json.loads(generation_config)\n",
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"safety_settings = json.loads(safety_settings)\n",
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"\n",
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"\n",
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"stream = False"
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],
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"metadata": {
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"id": "uIog-0SyDuIF"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"contents"
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],
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"metadata": {
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"id": "wBS8xNhN0x62"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Call the API"
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],
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"metadata": {
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"id": "E7zAD69vE92b"
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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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"metadata": {
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"id": "LB2LxPmAB95V"
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},
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"outputs": [],
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"source": [
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"# Call the model and print the response.\n",
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"gemini = genai.GenerativeModel(model_name=model)\n",
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"\n",
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"chat = gemini.start_chat(history=contents)\n",
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"\n",
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"response = chat.send_message(\n",
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" user_input,\n",
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" stream=False)"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"display(Markdown(response.text))"
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],
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"metadata": {
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"id": "Lm3RXwYuGtZK"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"response.prompt_feedback"
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],
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"metadata": {
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"id": "JbKuUc3NGxYD"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"response.candidates"
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],
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"metadata": {
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"id": "SLAaIq3kgwwJ"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [],
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"metadata": {
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"id": "8kS1DntQ2TKM"
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},
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"execution_count": null,
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"outputs": []
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}
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],
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"metadata": {
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"colab": {
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"provenance": [],
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"private_outputs": true,
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"collapsed_sections": [
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"Tce3stUlHN0L"
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]
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},
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

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