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---
title: Deploy
keywords: fastai
sidebar: home_sidebar
nb_path: "nbs\51_deploy_app.ipynb"
---
<!--
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<div class="container" id="notebook-container">
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<h2 id="Deploy-with-Streamlit-and-NGROK">Deploy with Streamlit and NGROK<a class="anchor-link" href="#Deploy-with-Streamlit-and-NGROK"> </a></h2>
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<h4 id="deploy_app" class="doc_header"><code>deploy_app</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L24" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>deploy_app</code>(<strong><code>app</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>]=<em><code>'app.py'</code></em>)</p>
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<p>Deploy a streamlit app using ngrok</p>
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<h2 id="Utility-functions-to-load-a-module">Utility functions to load a module<a class="anchor-link" href="#Utility-functions-to-load-a-module"> </a></h2>
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<h4 id="load_module" class="doc_header"><code>load_module</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L58" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>load_module</code>(<strong><code>module_path</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>], <strong><code>module_name</code></strong>=<em><code>'module'</code></em>)</p>
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<p>Load and return a module</p>
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<h4 id="import_from_module" class="doc_header"><code>import_from_module</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L72" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>import_from_module</code>(<strong><code>module_path</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>], <strong><code>name</code></strong>:<code>str</code>, <strong><code>module_name</code></strong>=<em><code>'module'</code></em>)</p>
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<p>Import a list of names from a module from its path</p>
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<h4 id="blackify" class="doc_header"><code>blackify</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L82" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>blackify</code>(<strong><code>code</code></strong>:<code>str</code>)</p>
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<p>Run "black" on a code passed as string</p>
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<h3 id="Base-Template">Base Template<a class="anchor-link" href="#Base-Template"> </a></h3>
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<h3 id="Templates-for-CSV">Templates for CSV<a class="anchor-link" href="#Templates-for-CSV"> </a></h3>
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<h3 id="Templates-for-Tabular">Templates for Tabular<a class="anchor-link" href="#Templates-for-Tabular"> </a></h3>
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<h3 id="Templates-for-NLP">Templates for NLP<a class="anchor-link" href="#Templates-for-NLP"> </a></h3>
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<h4 id="StreamlitApp.append" class="doc_header"><code>StreamlitApp.append</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L334" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>StreamlitApp.append</code>(<strong><code>content</code></strong>:<code>str</code>)</p>
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<p>Add additional content to the app</p>
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<h4 id="StreamlitApp.deploy" class="doc_header"><code>StreamlitApp.deploy</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L349" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>StreamlitApp.deploy</code>(<strong><code>dest</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>]=<em><code>'app.py'</code></em>)</p>
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<p>Deploy the app</p>
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<h4 id="StreamlitApp.render_fastai" class="doc_header"><code>StreamlitApp.render_fastai</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L278" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>StreamlitApp.render_fastai</code>(<strong><code>title</code></strong>:<code>str</code>, <strong><code>author</code></strong>:<code>str</code>, <strong><code>model</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>], <strong><code>post_process_code</code></strong>:<code>str</code>=<em><code>''</code></em>, <strong><code>custom_import</code></strong>:<code>str</code>=<em><code>''</code></em>)</p>
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<p>Render an app based on template</p>
<p>Args:
title: title of the App
author: author of the App
model: path of .pkl model to load (exported with <code>learn.export(...)</code>)
post_process_mode: optional code to post-process the model after loading
custom_import: optional code for custom import</p>
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<h4 id="StreamlitApp.render_pycaret" class="doc_header"><code>StreamlitApp.render_pycaret</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L304" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>StreamlitApp.render_pycaret</code>(<strong><code>title</code></strong>:<code>str</code>, <strong><code>author</code></strong>:<code>str</code>, <strong><code>model</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>], <strong><code>module</code></strong>:<code>str</code>, <strong><code>post_process_code</code></strong>:<code>str</code>=<em><code>''</code></em>, <strong><code>custom_import</code></strong>:<code>str</code>=<em><code>''</code></em>)</p>
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<p>Render an app based on template</p>
<p>Args:
title: title of the App
author: author of the App
model: path of .pkl model to load (exported with <code>learn.export(...)</code>)
module: regression, classification, etc.
post_process_mode: optional code to post-process the model after loading
custom_import: custom import (optional)</p>
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<h4 id="StreamlitApp.save" class="doc_header"><code>StreamlitApp.save</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L339" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>StreamlitApp.save</code>(<strong><code>dest</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>]=<em><code>'app.py'</code></em>, <strong><code>show</code></strong>=<em><code>False</code></em>)</p>
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<p>Write the app to a file</p>
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<h3 id="Custom-App">Custom App<a class="anchor-link" href="#Custom-App"> </a></h3>
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<h2 id="StreamlitAppCustom" class="doc_header"><code>class</code> <code>StreamlitAppCustom</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/app.py#L365" class="source_link" style="float:right">[source]</a></h2><blockquote><p><code>StreamlitAppCustom</code>()</p>
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<p>Application with custom implementation</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># For Test Cases (might have duplicate import because it will be in a dedicated file)</span>
<span class="kn">import</span> <span class="nn">re</span>
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span>
<span class="kn">import</span> <span class="nn">pytest</span>
<span class="kn">from</span> <span class="nn">test_common.utils_4_tests</span> <span class="kn">import</span> <span class="n">DATA_DIR</span><span class="p">,</span> <span class="n">diff_files</span>
<span class="n">DEPLOY_DATA_DIR</span> <span class="o">=</span> <span class="n">DATA_DIR</span> <span class="o">/</span> <span class="s2">"deploy"</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">test_streamlit_cv_fastai</span><span class="p">(</span><span class="n">tmp_path</span><span class="p">):</span>
<span class="sd">"""Test Streamlit app for CV with fastai"""</span>
<span class="n">dest</span> <span class="o">=</span> <span class="n">tmp_path</span> <span class="o">/</span> <span class="s2">"app_cv_fastai.py"</span>
<span class="n">StreamlitApp</span><span class="p">(</span><span class="s2">"CV"</span><span class="p">)</span><span class="o">.</span><span class="n">render_fastai</span><span class="p">(</span>
<span class="n">title</span><span class="o">=</span><span class="s2">"Is it a cat?"</span><span class="p">,</span>
<span class="n">author</span><span class="o">=</span><span class="s2">"Jeff"</span><span class="p">,</span>
<span class="n">model</span><span class="o">=</span><span class="s2">"model.pkl"</span><span class="p">,</span>
<span class="p">)</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
<span class="sd">"""</span>
<span class="sd"> st.sidebar.write("---")</span>
<span class="sd"> st.sidebar.button("Show Balloons", on_click=st.balloons)</span>
<span class="sd"> """</span>
<span class="p">)</span><span class="o">.</span><span class="n">save</span><span class="p">(</span>
<span class="n">dest</span><span class="o">=</span><span class="n">dest</span>
<span class="p">)</span>
<span class="k">assert</span> <span class="n">diff_files</span><span class="p">(</span><span class="n">DEPLOY_DATA_DIR</span> <span class="o">/</span> <span class="s2">"app_CV.py"</span><span class="p">,</span> <span class="n">dest</span><span class="p">,</span> <span class="n">show</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">==</span> <span class="s2">""</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">test_streamlit_tabular_pycaret</span><span class="p">(</span><span class="n">tmp_path</span><span class="p">):</span>
<span class="sd">"""Test Streamlit app for Tabular with pycaret"""</span>
<span class="n">dest</span> <span class="o">=</span> <span class="n">tmp_path</span> <span class="o">/</span> <span class="s2">"app_tabular_pycaret.py"</span>
<span class="n">StreamlitApp</span><span class="p">(</span><span class="s2">"Tabular"</span><span class="p">)</span><span class="o">.</span><span class="n">render_pycaret</span><span class="p">(</span>
<span class="n">title</span><span class="o">=</span><span class="s2">"My Mini Tabular App"</span><span class="p">,</span>
<span class="n">author</span><span class="o">=</span><span class="s2">"Jeff"</span><span class="p">,</span>
<span class="n">model</span><span class="o">=</span><span class="s2">"model.pkl"</span><span class="p">,</span>
<span class="n">module</span><span class="o">=</span><span class="s2">"regression"</span><span class="p">,</span>
<span class="p">)</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">dest</span><span class="o">=</span><span class="n">dest</span><span class="p">)</span>
<span class="k">assert</span> <span class="n">diff_files</span><span class="p">(</span><span class="n">DEPLOY_DATA_DIR</span> <span class="o">/</span> <span class="s2">"app_Tabular.py"</span><span class="p">,</span> <span class="n">dest</span><span class="p">,</span> <span class="n">show</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">==</span> <span class="s2">""</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">test_custom_app_code</span><span class="p">(</span><span class="n">tmp_path</span><span class="p">):</span>
<span class="sd">"""Test custom app with code provided via string"""</span>
<span class="n">dest</span> <span class="o">=</span> <span class="n">tmp_path</span> <span class="o">/</span> <span class="s2">"app_custom_code.py"</span>
<span class="n">code</span> <span class="o">=</span> <span class="s2">"""</span>
<span class="s2"> st.write("hello")</span>
<span class="s2"> st.balloons()</span>
<span class="s2"> """</span>
<span class="n">StreamlitAppCustom</span><span class="p">()</span><span class="o">.</span><span class="n">render</span><span class="p">(</span>
<span class="s2">"Custom App"</span><span class="p">,</span> <span class="s2">"Jeff"</span><span class="p">,</span> <span class="n">code</span>
<span class="p">)</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">dest</span><span class="o">=</span><span class="n">dest</span><span class="p">)</span>
<span class="k">assert</span> <span class="n">diff_files</span><span class="p">(</span><span class="n">DEPLOY_DATA_DIR</span> <span class="o">/</span> <span class="s2">"app_custom.py"</span><span class="p">,</span> <span class="n">dest</span><span class="p">,</span> <span class="n">show</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">==</span> <span class="s2">""</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">test_custom_app_external</span><span class="p">(</span><span class="n">tmp_path</span><span class="p">):</span>
<span class="sd">"""Test custom app with code provided via string"""</span>
<span class="n">dest</span> <span class="o">=</span> <span class="n">tmp_path</span> <span class="o">/</span> <span class="s2">"app_custom_external.py"</span>
<span class="n">StreamlitAppCustom</span><span class="p">()</span><span class="o">.</span><span class="n">render</span><span class="p">(</span>
<span class="s2">"Custom App"</span><span class="p">,</span> <span class="s2">"Jeff"</span><span class="p">,</span> <span class="n">DEPLOY_DATA_DIR</span> <span class="o">/</span> <span class="s2">"correct_code_for_custom_app.py"</span>
<span class="p">)</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">dest</span><span class="o">=</span><span class="n">dest</span><span class="p">)</span>
<span class="c1"># Because we have a absolute path of "test_data/deploy", we will replace by relative path</span>
<span class="c1"># otherwise our tests will always be failed</span>
<span class="n">content</span> <span class="o">=</span> <span class="n">dest</span><span class="o">.</span><span class="n">read_text</span><span class="p">(</span><span class="n">encoding</span><span class="o">=</span><span class="s2">"utf-8"</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">DEPLOY_DATA_DIR</span><span class="p">),</span> <span class="s2">"<deploy_dir>"</span><span class="p">)</span>
<span class="n">content</span> <span class="o">=</span> <span class="n">content</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"></span><span class="se">\\</span><span class="s2">"</span><span class="p">,</span> <span class="s2">">/"</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'r"<deploy_dir>/'</span><span class="p">,</span> <span class="s1">'Path(__file__).parent / "'</span><span class="p">)</span>
<span class="n">dest</span><span class="o">.</span><span class="n">write_text</span><span class="p">(</span><span class="n">content</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">"utf-8"</span><span class="p">)</span>
<span class="k">assert</span> <span class="n">diff_files</span><span class="p">(</span><span class="n">DEPLOY_DATA_DIR</span> <span class="o">/</span> <span class="s2">"app_custom_external.py"</span><span class="p">,</span> <span class="n">dest</span><span class="p">,</span> <span class="n">show</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">==</span> <span class="s2">""</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ipytest</span><span class="o">.</span><span class="n">run</span><span class="p">()</span>
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<pre><span class="ansi-green-fg">.</span><span class="ansi-green-fg">.</span><span class="ansi-green-fg">.</span><span class="ansi-green-fg">.</span><span class="ansi-green-fg"> [100%]</span>##vso[results.publish type=JUnit;runTitle='Pytest results';]e:\AnsysDev\_perso_repo\unpackai\nbs\test-output.xml
##vso[task.logissue type=warning;]Coverage XML was not created, skipping upload.
------------ generated xml file: e:\AnsysDev\_perso_repo\unpackai\nbs\test-output.xml -------------
<span class="ansi-green-intense-fg ansi-bold">4 passed</span><span class="ansi-green-fg"> in 0.18s</span>
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