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# import streamlit as st
#
# from langchain_google_genai import ChatGoogleGenerativeAI
#
# import time
# def details():
# apiKey = "AIzaSyC9ScRqi9g-YghNuS5w7o7Erwtd5RIN_Zo"
# llm = ChatGoogleGenerativeAI(model="gemini-2.0-flash-thinking-exp-01-21", google_api_key=apiKey)
# st.header("Introducing Gemini")
# with st.chat_message("assistant"):
# for chunk in llm.stream("Tell me about google gemini ai model"):
# st.write(chunk.content)
import time
import streamlit as st
# Ensure set_page_config is at the top
#st.set_page_config(page_title="Gemini 2.0 Flash Thinking", layout="wide")
def details():
st.empty()
chat = st.container()
chat.empty()
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<title>
Gemini 2.0 Flash Thinking | Gemini API | Google AI for Developers
</title>
<meta content="Gemini 2.0 Flash Thinking | Gemini API | Google AI for Developers" property="og:title"/>
<meta content="https://ai.google.dev/gemini-api/docs/thinking" property="og:url"/>
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</head>
<body appearance="" class="" display-toc="" layout="docs" pending="" template="page" theme="googledevai-theme" type="article">
<devsite-progress id="app-progress" type="indeterminate">
</devsite-progress>
<a class="skip-link button" href="#main-content">
Skip to main content
</a>
<section id="gc-wrapper">
<main class="devsite-main-content" id="main-content" role="main">
<devsite-content>
<article class="devsite-article">
<h1 class="devsite-page-title" tabindex="-1">
Gemini 2.0 Flash Thinking
<div class="devsite-actions" data-nosnippet="">
</div>
</h1>
<div class="devsite-page-title-meta">
<devsite-view-release-notes>
</devsite-view-release-notes>
</div>
<devsite-toc class="devsite-nav" depth="2" devsite-toc-embedded="">
</devsite-toc>
<div class="devsite-article-body clearfix">
<p>
</p>
<p>
The 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.
</p>
<div>
<a class="button button-primary ais" href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21">
Try the latest Flash Thinking model in Google AI Studio
</a>
</div>
<h2 data-text="Use thinking models" id="use-thinking-models" tabindex="-1">
Use thinking models
</h2>
<p>
Flash Thinking models are available in
<a href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21">
Google AI Studio
</a>
and through the Gemini API. The Gemini API doesn't return thoughts in the response.
</p>
<aside class="note">
<strong>
Note:
</strong>
<span>
We have set up
<code dir="ltr" translate="no">
gemini-2.0-flash-thinking-exp
</code>
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.
</span>
</aside>
<h3 data-text="Send a basic request" id="send-basic" tabindex="-1">
Send a basic request
</h3>
<div class="ds-selector-tabs" data-ds-scope="code-sample">
<section>
<h3 data-text="Python" id="python" tabindex="-1">
Python
</h3>
<p>
This example uses the new
<a href="/gemini-api/docs/sdks#python-quickstart">
Google Genai SDK
</a>
and the
<code dir="ltr" translate="no">
v1alpha
</code>
version of the API.
</p>
<div>
</div>
<devsite-code>
<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>
<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>
<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>
<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>
<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>
<span class="devsite-syntax-p">)</span>
<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>
</code></pre>
</devsite-code>
</section>
</div>
<h3 data-text="Multi-turn thinking conversations" id="multi-turn-thinking" tabindex="-1">
Multi-turn thinking conversations
</h3>
<p>
During multi-turn conversations, thoughts from previous turns are stripped from
the model's inputs.
</p>
<div class="ds-selector-tabs" data-ds-scope="code-sample">
<section>
<h3 data-text="Python" id="python_1" tabindex="-1">
Python
</h3>
<p>
The new
<a href="/gemini-api/docs/sdks#python-quickstart">
Google Genai SDK
</a>
provides the ability to create a multi-turn chat session which is
helpful to manage the state of a conversation.
</p>
<div>
</div>
<devsite-code>
<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>
<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>
<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>
<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>
<span class="devsite-syntax-p">)</span>
<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>
<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>
<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>
<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>
</code></pre>
</devsite-code>
</section>
</div>
<h2 data-text="Limitations" id="limitations" tabindex="-1">
Limitations
</h2>
<p>
The Flash Thinking model is an experimental model and has the following
limitations:
</p>
<ul>
<li>
No JSON mode or Search Grounding
</li>
<li>
Thoughts are only shown in Google AI Studio
</li>
</ul>
<h2 data-text="What's next?" id="whats-next" tabindex="-1">
What's next?
</h2>
<ul>
<li>
Try the Flash Thinking model in
<a href="https://aistudio.google.com/prompts/new_chat?model=gemini-2.0-flash-thinking-exp-01-21">
Google AI Studio
</a>
.
</li>
<li>
Try the
<a href="https://colab.sandbox.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Get_started_thinking.ipynb">
Flash Thinking Colab
</a>
.
</li>
</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.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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