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page3.py
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# import streamlit as st
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#
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# from langchain_google_genai import ChatGoogleGenerativeAI
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#
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# import time
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# def details():
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# apiKey = "AIzaSyC9ScRqi9g-YghNuS5w7o7Erwtd5RIN_Zo"
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# llm = ChatGoogleGenerativeAI(model="gemini-2.0-flash-thinking-exp-01-21", google_api_key=apiKey)
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# st.header("Introducing Gemini")
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# with st.chat_message("assistant"):
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# for chunk in llm.stream("Tell me about google gemini ai model"):
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# st.write(chunk.content)
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import time
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import streamlit as st
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# Ensure set_page_config is at the top
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#st.set_page_config(page_title="Gemini 2.0 Flash Thinking", layout="wide")
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def details():
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st.empty()
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chat = st.container()
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chat.empty()
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html_code = """
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<!DOCTYPE html>
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<html dir="ltr" lang="en">
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<head>
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<meta content="157101835696-ooapojlodmuabs2do2vuhhnf90bccmoi.apps.googleusercontent.com" name="google-signin-client-id"/>
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<meta content="profile email https://www.googleapis.com/auth/developerprofiles https://www.googleapis.com/auth/developerprofiles.award" name="google-signin-scope"/>
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<meta content="Google AI for Developers" property="og:site_name"/>
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<meta content="website" property="og:type"/>
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<meta content="#1967d2" name="theme-color"/>
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<meta charset="utf-8"/>
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<meta content="IE=Edge" http-equiv="X-UA-Compatible"/>
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<meta content="width=device-width, initial-scale=1" name="viewport"/>
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<link crossorigin="use-credentials" href="/_pwa/googledevai/manifest.json" rel="manifest"/>
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<link crossorigin="" href="//www.gstatic.com" rel="preconnect"/>
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<link crossorigin="" href="//fonts.gstatic.com" rel="preconnect"/>
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<link crossorigin="" href="//fonts.googleapis.com" rel="preconnect"/>
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<link crossorigin="" href="//apis.google.com" rel="preconnect"/>
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<link crossorigin="" href="//www.google-analytics.com" rel="preconnect"/>
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<link href="//fonts.googleapis.com/css?family=Google+Sans:400,500|Roboto:400,400italic,500,500italic,700,700italic|Roboto+Mono:400,500,700&display=swap" rel="stylesheet"/>
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<link href="//fonts.googleapis.com/css2?family=Material+Icons&family=Material+Symbols+Outlined&display=block" rel="stylesheet"/>
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<link href="https://www.gstatic.com/devrel-devsite/prod/v17c4f87be230ffee20589ee6dca0a2318ead9eddb228ec5c58233202ff69a933/googledevai/css/app.css" rel="stylesheet"/>
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<link disabled="" href="https://www.gstatic.com/devrel-devsite/prod/v17c4f87be230ffee20589ee6dca0a2318ead9eddb228ec5c58233202ff69a933/googledevai/css/dark-theme.css" rel="stylesheet"/>
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<link href="https://www.gstatic.com/devrel-devsite/prod/v17c4f87be230ffee20589ee6dca0a2318ead9eddb228ec5c58233202ff69a933/googledevai/images/favicon-new.png" rel="shortcut icon"/>
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<link href="https://www.gstatic.com/devrel-devsite/prod/v17c4f87be230ffee20589ee6dca0a2318ead9eddb228ec5c58233202ff69a933/googledevai/images/touchicon-180-new.png" rel="apple-touch-icon"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking" rel="canonical"/>
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<link href="https://ai.google.dev/s/opensearch.xml" rel="search" title="Google AI for Developers" type="application/opensearchdescription+xml"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking" hreflang="en" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking" hreflang="x-default" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=ar" hreflang="ar" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=bn" hreflang="bn" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=zh-cn" hreflang="zh-Hans" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=zh-tw" hreflang="zh-Hant" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=fa" hreflang="fa" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=fr" hreflang="fr" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=de" hreflang="de" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=he" hreflang="he" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=hi" hreflang="hi" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=id" hreflang="id" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=it" hreflang="it" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=ja" hreflang="ja" rel="alternate">
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=ko" hreflang="ko" rel="alternate"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=pl" hreflang="pl" rel="alternate"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=pt-br" hreflang="pt-BR" rel="alternate"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=ru" hreflang="ru" rel="alternate"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=es-419" hreflang="es-419" rel="alternate"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=th" hreflang="th" rel="alternate"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=tr" hreflang="tr" rel="alternate"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=vi" hreflang="vi" rel="alternate"/>
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<link href="https://ai.google.dev/gemini-api/docs/thinking?hl=sq" hreflang="sq" rel="alternate"/>
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<title>
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Gemini 2.0 Flash Thinking | Gemini API | Google AI for Developers
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</title>
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<meta content="Gemini 2.0 Flash Thinking | Gemini API | Google AI for Developers" property="og:title"/>
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<meta content="https://ai.google.dev/gemini-api/docs/thinking" property="og:url"/>
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<meta content="https://ai.google.dev/static/site-assets/images/share-gemini-api.png" property="og:image"/>
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<meta content="1200" property="og:image:width"/>
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<meta content="675" property="og:image:height"/>
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<meta content="en" property="og:locale"/>
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<meta content="summary_large_image" name="twitter:card"/>
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<script type="application/ld+json">
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{
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"@context": "https://schema.org",
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"@type": "Article",
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"headline": "Gemini 2.0 Flash Thinking"
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}
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</script>
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<script type="application/ld+json">
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{
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"@context": "https://schema.org",
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"@type": "BreadcrumbList",
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"itemListElement": [{
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"@type": "ListItem",
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"position": 1,
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"name": "Gemini API",
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"item": "https://ai.google.dev/gemini-api"
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},{
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"@type": "ListItem",
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"position": 2,
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"name": "Gemini 2.0 Flash Thinking",
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"item": "https://ai.google.dev/gemini-api/docs/thinking"
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}]
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}
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</script>
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<link href="/extras.css" rel="stylesheet"/>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</link>
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</head>
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<body appearance="" class="" display-toc="" layout="docs" pending="" template="page" theme="googledevai-theme" type="article">
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<devsite-progress id="app-progress" type="indeterminate">
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</devsite-progress>
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<a class="skip-link button" href="#main-content">
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Skip to main content
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</a>
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<section id="gc-wrapper">
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<main class="devsite-main-content" id="main-content" role="main">
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<devsite-content>
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<article class="devsite-article">
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<h1 class="devsite-page-title" tabindex="-1">
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Gemini 2.0 Flash Thinking
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<div class="devsite-actions" data-nosnippet="">
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</div>
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</h1>
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<div class="devsite-page-title-meta">
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<devsite-view-release-notes>
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</devsite-view-release-notes>
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</div>
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<devsite-toc class="devsite-nav" depth="2" devsite-toc-embedded="">
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</devsite-toc>
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<div class="devsite-article-body clearfix">
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<p>
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</p>
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<p>
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The Gemini 2.0 Flash Thinking model is an experimental model that's trained to
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generate the "thinking process" the model goes through as part of its response.
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As a result, the Flash Thinking model is capable of stronger reasoning
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capabilities in its responses than the Gemini 2.0 Flash Experimental model.
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</p>
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<div>
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<a class="button button-primary ais" href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21">
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Try the latest Flash Thinking model in Google AI Studio
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</a>
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</div>
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<h2 data-text="Use thinking models" id="use-thinking-models" tabindex="-1">
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Use thinking models
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</h2>
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<p>
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Flash Thinking models are available in
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<a href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21">
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Google AI Studio
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</a>
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and through the Gemini API. The Gemini API doesn't return thoughts in the response.
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</p>
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<aside class="note">
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<strong>
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Note:
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</strong>
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<span>
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We have set up
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<code dir="ltr" translate="no">
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gemini-2.0-flash-thinking-exp
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</code>
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as an alias to the latest
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Flash Thinking model. Use this alias to get the latest Flash thinking model, or
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specify the full model name.
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</span>
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</aside>
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<h3 data-text="Send a basic request" id="send-basic" tabindex="-1">
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Send a basic request
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</h3>
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<div class="ds-selector-tabs" data-ds-scope="code-sample">
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<section>
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<h3 data-text="Python" id="python" tabindex="-1">
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Python
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</h3>
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<p>
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This example uses the new
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<a href="/gemini-api/docs/sdks#python-quickstart">
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Google Genai SDK
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</a>
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and the
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<code dir="ltr" translate="no">
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v1alpha
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</code>
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version of the API.
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</p>
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<div>
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</div>
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<devsite-code>
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<pre class="devsite-click-to-copy" dir="ltr" is-upgraded="" syntax="Python" translate="no"><code dir="ltr" translate="no"><span class="devsite-syntax-kn">from</span><span class="devsite-syntax-w"> </span><span class="devsite-syntax-nn">google</span><span class="devsite-syntax-w"> </span><span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-n">genai</span>
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<span class="devsite-syntax-n">client</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">genai</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Client</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">api_key</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'GEMINI_API_KEY'</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">http_options</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-p">{</span><span class="devsite-syntax-s1">'api_version'</span><span class="devsite-syntax-p">:</span><span class="devsite-syntax-s1">'v1alpha'</span><span class="devsite-syntax-p">})</span>
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<span class="devsite-syntax-n">response</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">client</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">models</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">generate_content</span><span class="devsite-syntax-p">(</span>
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<span class="devsite-syntax-n">model</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'gemini-2.0-flash-thinking-exp'</span><span class="devsite-syntax-p">,</span>
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<span class="devsite-syntax-n">contents</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'Explain how RLHF works in simple terms.'</span><span class="devsite-syntax-p">,</span>
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<span class="devsite-syntax-p">)</span>
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<span class="devsite-syntax-nb">print</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">response</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">text</span><span class="devsite-syntax-p">)</span>
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</code></pre>
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</devsite-code>
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</section>
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</div>
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<h3 data-text="Multi-turn thinking conversations" id="multi-turn-thinking" tabindex="-1">
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Multi-turn thinking conversations
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</h3>
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<p>
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During multi-turn conversations, thoughts from previous turns are stripped from
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the model's inputs.
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</p>
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<div class="ds-selector-tabs" data-ds-scope="code-sample">
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<section>
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<h3 data-text="Python" id="python_1" tabindex="-1">
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Python
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</h3>
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<p>
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The new
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<a href="/gemini-api/docs/sdks#python-quickstart">
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Google Genai SDK
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</a>
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provides the ability to create a multi-turn chat session which is
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helpful to manage the state of a conversation.
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</p>
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<div>
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</div>
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<devsite-code>
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<pre class="devsite-click-to-copy" dir="ltr" is-upgraded="" syntax="Python" translate="no"><code dir="ltr" translate="no"><span class="devsite-syntax-kn">from</span><span class="devsite-syntax-w"> </span><span class="devsite-syntax-nn">google</span><span class="devsite-syntax-w"> </span><span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-n">genai</span>
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<span class="devsite-syntax-n">client</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">genai</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">Client</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">api_key</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'GEMINI_API_KEY'</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">http_options</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-p">{</span><span class="devsite-syntax-s1">'api_version'</span><span class="devsite-syntax-p">:</span><span class="devsite-syntax-s1">'v1alpha'</span><span class="devsite-syntax-p">})</span>
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<span class="devsite-syntax-n">chat</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">client</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">aio</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">chats</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">create</span><span class="devsite-syntax-p">(</span>
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<span class="devsite-syntax-n">model</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-s1">'gemini-2.0-flash-thinking-exp'</span><span class="devsite-syntax-p">,</span>
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<span class="devsite-syntax-p">)</span>
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<span class="devsite-syntax-n">response</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-k">await</span> <span class="devsite-syntax-n">chat</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">send_message</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-s1">'What is your name?'</span><span class="devsite-syntax-p">)</span>
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<span class="devsite-syntax-nb">print</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">response</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">text</span><span class="devsite-syntax-p">)</span>
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<span class="devsite-syntax-n">response</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-k">await</span> <span class="devsite-syntax-n">chat</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">send_message</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-s1">'What did you just say before this?'</span><span class="devsite-syntax-p">)</span>
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<span class="devsite-syntax-nb">print</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">response</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">text</span><span class="devsite-syntax-p">)</span>
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</code></pre>
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</devsite-code>
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<h2 data-text="Limitations" id="limitations" tabindex="-1">
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Limitations
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</h2>
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<p>
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The Flash Thinking model is an experimental model and has the following
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limitations:
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</p>
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<ul>
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<li>
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No JSON mode or Search Grounding
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</li>
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<li>
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Thoughts are only shown in Google AI Studio
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</li>
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</ul>
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<h2 data-text="What's next?" id="whats-next" tabindex="-1">
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What's next?
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</h2>
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<ul>
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<li>
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Try the Flash Thinking model in
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<a href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21">
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Google AI Studio
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</a>
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.
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</li>
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<li>
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Try the
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<a href="https://colab.sandbox.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Get_started_thinking.ipynb">
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Flash Thinking Colab
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</a>
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.
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</ul>
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data = f'''**Gemini 2.0 Flash Thinking** \n\nThe Gemini 2.0 Flash Thinking model is an experimental model that's trained to generate the "thinking process" the model goes through as part of its response. As a result, the Flash Thinking model is capable of stronger reasoning capabilities in its responses than the Gemini 2.0 Flash Experimental model.\n\n**Use thinking models**\n\nFlash Thinking models are available in Google AI Studio and through the Gemini API. The Gemini API doesn't return thoughts in the response.\n\nNote: The set up for gemini-2.0-flash-thinking-exp as an alias to the latest Flash Thinking model. Use this alias to get the latest Flash thinking model, or specify the full model name. \n\n**Send a basic request**\n\nThis example uses the new Google Genai SDK and the v1alpha version of the API.\n ```python\n from google import genai\nclient = genai.Client(api_key='GEMINI_API_KEY', http_options='api_version':'v1alpha')\nresponse = client.models.generate_content(\nmodel='gemini-2.0-flash-thinking-exp',\ncontents='Explain how RLHF works in simple terms.',\n)\nprint(response.text)\n```\n**Multi-turn thinking conversations**\n\nDuring multi-turn conversations, thoughts from previous turns are stripped from the model's inputs.\nThe new Google Genai SDK provides the ability to create a multi-turn chat session which is helpful to manage the state of a conversation.\n```python\nfrom google import genai\nclient = genai.Client(api_key='GEMINI_API_KEY', http_options='api_version':'v1alpha')\nchat = client.aio.chats.create(\nmodel='gemini-2.0-flash-thinking-exp',\n)\nresponse = await chat.send_message('What is your name?')\nprint(response.text)\nresponse = await chat.send_message('What did you just say before this?')\nprint(response.text)\n```\n\n**Limitations**\n\nThe Flash Thinking model is an experimental model and has the following limitations:\n\n\tNo JSON mode or Search Grounding\n\tThoughts are only shown in Google AI Studio'''
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st.write_stream(stream_data)
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# Use st.components.v1.html to render full HTML layout properly
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#st.components.v1.html(html_code, height=800, scrolling=True)
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#st.chat_message("user", avatar="🧑").markdown(f'''**Gemini 2.0 Flash Thinking** \n\nThe Gemini 2.0 Flash Thinking model is an experimental model that's trained to generate the "thinking process" the model goes through as part of its response. As a result, the Flash Thinking model is capable of stronger reasoning capabilities in its responses than the Gemini 2.0 Flash Experimental model.\n\n**Use thinking models**\n\nFlash Thinking models are available in Google AI Studio and through the Gemini API. The Gemini API doesn't return thoughts in the response.\n\nNote: The set up for gemini-2.0-flash-thinking-exp as an alias to the latest Flash Thinking model. Use this alias to get the latest Flash thinking model, or specify the full model name. \n\n**Send a basic request**\n\nThis example uses the new Google Genai SDK and the v1alpha version of the API.\n ```python\n from google import genai\nclient = genai.Client(api_key='GEMINI_API_KEY', http_options='api_version':'v1alpha')\nresponse = client.models.generate_content(\nmodel='gemini-2.0-flash-thinking-exp',\ncontents='Explain how RLHF works in simple terms.',\n)\nprint(response.text)\n```\n**Multi-turn thinking conversations**\n\nDuring multi-turn conversations, thoughts from previous turns are stripped from the model's inputs.\nThe new Google Genai SDK provides the ability to create a multi-turn chat session which is helpful to manage the state of a conversation.\n```python\nfrom google import genai\nclient = genai.Client(api_key='GEMINI_API_KEY', http_options='api_version':'v1alpha')\nchat = client.aio.chats.create(\nmodel='gemini-2.0-flash-thinking-exp',\n)\nresponse = await chat.send_message('What is your name?')\nprint(response.text)\nresponse = await chat.send_message('What did you just say before this?')\nprint(response.text)\n```\n\n**Limitations**\n\nThe Flash Thinking model is an experimental model and has the following limitations:\n\n\tNo JSON mode or Search Grounding\n\tThoughts are only shown in Google AI Studio''')
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