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<div class="cell">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> dotenv <span class="im">import</span> load_dotenv</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<div class="cell">
<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co">#: eval: false</span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>load_dotenv()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display">
<pre><code>True</code></pre>
</div>
</div>
<section id="put-the-chat-backend-pieces-together" class="level2">
<h2 class="anchored" data-anchor-id="put-the-chat-backend-pieces-together">Put the chat backend pieces together</h2>
<hr>
<section id="conversationbuffermemory" class="level3">
<h3 class="anchored" data-anchor-id="conversationbuffermemory">ConversationBufferMemory</h3>
<blockquote class="blockquote">
<pre><code> ConversationBufferMemory
                           (chat_memory:langchain.schema.memory.BaseChatMe
                           ssageHistory=None,
                           output_key:Optional[str]=None,
                           input_key:Optional[str]=None,
                           return_messages:bool=False,
                           human_prefix:str='Human', ai_prefix:str='AI',
                           memory_key:str='history')</code></pre>
</blockquote>
<p>Buffer for storing conversation memory.</p>
<hr>
</section>
<section id="chatmessagehistory" class="level3">
<h3 class="anchored" data-anchor-id="chatmessagehistory">ChatMessageHistory</h3>
<blockquote class="blockquote">
<pre><code> ChatMessageHistory
                     (messages:List[langchain.schema.messages.BaseMessage]
                     =[])</code></pre>
</blockquote>
<p>In memory implementation of chat message history.</p>
<p>Stores messages in an in memory list.</p>
<hr>
</section>
<section id="chatopenai" class="level3">
<h3 class="anchored" data-anchor-id="chatopenai">ChatOpenAI</h3>
<blockquote class="blockquote">
<pre><code> ChatOpenAI (cache:Optional[bool]=None, verbose:bool=None, callbacks:Union
             [List[langchain.callbacks.base.BaseCallbackHandler],langchain
             .callbacks.base.BaseCallbackManager,NoneType]=None, callback_
             manager:Optional[langchain.callbacks.base.BaseCallbackManager
             ]=None, tags:Optional[List[str]]=None,
             metadata:Optional[Dict[str,Any]]=None, client:Any=None,
             model:str='gpt-3.5-turbo', temperature:float=0.7,
             model_kwargs:Dict[str,Any]=None,
             openai_api_key:Optional[str]=None,
             openai_api_base:Optional[str]=None,
             openai_organization:Optional[str]=None,
             openai_proxy:Optional[str]=None, request_timeout:Union[float,
             Tuple[float,float],NoneType]=None, max_retries:int=6,
             streaming:bool=False, n:int=1, max_tokens:Optional[int]=None,
             tiktoken_model_name:Optional[str]=None)</code></pre>
</blockquote>
<p>Wrapper around OpenAI Chat large language models.</p>
<p>To use, you should have the <code>openai</code> python package installed, and the environment variable <code>OPENAI_API_KEY</code> set with your API key.</p>
<p>Any parameters that are valid to be passed to the openai.create call can be passed in, even if not explicitly saved on this class.</p>
<p>Example: .. code-block:: python</p>
<pre><code>    from langchain.chat_models import ChatOpenAI
    openai = ChatOpenAI(model_name="gpt-3.5-turbo")</code></pre>
<div class="cell">
<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>llm <span class="op">=</span> ChatOpenAI(temperature<span class="op">=</span><span class="dv">1</span>)</span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a>MEMORY_KEY <span class="op">=</span> <span class="st">"chat_history"</span></span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a>chat_msgs <span class="op">=</span> INIT_PROMPT.format_prompt(</span>
<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a>    ingredients<span class="op">=</span><span class="st">"tofu, pickles, mustard, olives, tomatoes, lettuce, bell peppers, carrots, bread"</span>,</span>
<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a>    allergies<span class="op">=</span><span class="st">""</span>,</span>
<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a>    recipe_freeform_input<span class="op">=</span><span class="st">"The preparation time shVegan spaghetti aglio e olio ould be less than 30 minutes. I really love Thai food!"</span>,</span>
<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a>chat_msgs <span class="op">=</span> chat_msgs.to_messages()</span>
<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a>results <span class="op">=</span> llm.generate([chat_msgs])</span>
<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-11"><a href="#cb8-11" aria-hidden="true" tabindex="-1"></a>chat_msgs.append(results.generations[<span class="dv">0</span>][<span class="dv">0</span>].message)</span>
<span id="cb8-12"><a href="#cb8-12" aria-hidden="true" tabindex="-1"></a>tools <span class="op">=</span> [vegan_recipe_edamam_search]</span>
<span id="cb8-13"><a href="#cb8-13" aria-hidden="true" tabindex="-1"></a>prompt <span class="op">=</span> OpenAIFunctionsAgent.create_prompt(</span>
<span id="cb8-14"><a href="#cb8-14" aria-hidden="true" tabindex="-1"></a>    system_message<span class="op">=</span>INIT_PROMPT.messages[<span class="dv">0</span>],</span>
<span id="cb8-15"><a href="#cb8-15" aria-hidden="true" tabindex="-1"></a>    extra_prompt_messages<span class="op">=</span>chat_msgs <span class="op">+</span> [MessagesPlaceholder(variable_name<span class="op">=</span>MEMORY_KEY)],</span>
<span id="cb8-16"><a href="#cb8-16" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb8-17"><a href="#cb8-17" aria-hidden="true" tabindex="-1"></a>memory <span class="op">=</span> ConversationBufferMemory(</span>
<span id="cb8-18"><a href="#cb8-18" aria-hidden="true" tabindex="-1"></a>    chat_memory<span class="op">=</span>ChatMessageHistory(messages<span class="op">=</span>chat_msgs),</span>
<span id="cb8-19"><a href="#cb8-19" aria-hidden="true" tabindex="-1"></a>    return_messages<span class="op">=</span><span class="va">True</span>,</span>
<span id="cb8-20"><a href="#cb8-20" aria-hidden="true" tabindex="-1"></a>    memory_key<span class="op">=</span>MEMORY_KEY,</span>
<span id="cb8-21"><a href="#cb8-21" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb8-22"><a href="#cb8-22" aria-hidden="true" tabindex="-1"></a>agent_executor <span class="op">=</span> AgentExecutor(</span>
<span id="cb8-23"><a href="#cb8-23" aria-hidden="true" tabindex="-1"></a>    agent<span class="op">=</span>OpenAIFunctionsAgent(llm<span class="op">=</span>llm, tools<span class="op">=</span>tools, prompt<span class="op">=</span>prompt),</span>
<span id="cb8-24"><a href="#cb8-24" aria-hidden="true" tabindex="-1"></a>    tools<span class="op">=</span>tools,</span>
<span id="cb8-25"><a href="#cb8-25" aria-hidden="true" tabindex="-1"></a>    memory<span class="op">=</span>memory,</span>
<span id="cb8-26"><a href="#cb8-26" aria-hidden="true" tabindex="-1"></a>    verbose<span class="op">=</span><span class="va">True</span>,</span>
<span id="cb8-27"><a href="#cb8-27" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>memory.chat_memory.messages</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display">
<pre><code>[SystemMessage(content='The following is a conversation between a human and a friendly vegan AI. \nThe AI is compassionate to animals and therefore serves to promote veganism.\nKnowledge: A vegan diet implies a plant-based diet avoiding all animal foods such as meat (including fish, shellfish and insects), dairy, eggs and honey.\nIf the human messages are not aligned with veganism, remind them of your purpose.\nThe AI never generates vegan recipes itself but instead uses a tool.', additional_kwargs={}),
 AIMessage(content='What ingredients do you wish to cook with?', additional_kwargs={}, example=False),
 HumanMessage(content='Ingredients: tofu, pickles, mustard, olives, tomatoes, lettuce, bell peppers, carrots, bread', additional_kwargs={}, example=False),
 AIMessage(content='Do you have any allergies I should be aware of?', additional_kwargs={}, example=False),
 HumanMessage(content='Allergies: ', additional_kwargs={}, example=False),
 AIMessage(content='Do you have any preferences I should consider for the recipe such as preparation time, difficulty, or cuisine region?', additional_kwargs={}, example=False),
 HumanMessage(content="Preferences: `The preparation time shVegan spaghetti aglio e olio ould be less than 30 minutes. I really love Thai food!`\nYour task is compose a concise, 6 word max vegan recipe keyword query to use in an API search.\nThink step by step.\n\n1. If the user listed any ingredients, choose the three ingredients that are most commonly used together in recipes that fall within the user's preferences (if any are included). \n2. If the user provided any allergies, include them in the query.\nFormat your response as message with the allergy and diet preferences first and then the ingredients.\nExamples:\n'Vegan gluten-free chicken peppers' or 'Vegan tofu, brocolli, and miso'", additional_kwargs={}, example=False),
 AIMessage(content='Vegan, quick, Thai tofu, bell peppers', additional_kwargs={}, example=False)]</code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb11"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a>agent_executor.run(<span class="st">"Search for vegan recipe"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>

&gt; Entering new AgentExecutor chain...

Invoking: `vegan_recipe_edamam_search` with `{'query': 'Tofu pickle sandwich with Thai-inspired flavors'}`


[]I apologize, but I couldn't find any vegan recipes matching your query. Can I help you with anything else?

&gt; Finished chain.</code></pre>
</div>
<div class="cell-output cell-output-display">
<pre><code>"I apologize, but I couldn't find any vegan recipes matching your query. Can I help you with anything else?"</code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a>agent_executor.run(<span class="st">"Which ingredients that I provided go the best together in dishes?"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-error">
<pre><code>NameError: name 'agent_executor' is not defined</code></pre>
</div>
</div>
<hr>
<p><a href="https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L42" target="_blank" style="float:right; font-size:smaller">source</a></p>
</section>
<section id="conversationbot" class="level3">
<h3 class="anchored" data-anchor-id="conversationbot">ConversationBot</h3>
<blockquote class="blockquote">
<pre><code> ConversationBot (verbose=True)</code></pre>
</blockquote>
<p>Initialize self. See help(type(self)) for accurate signature.</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb17"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>os.listdir(SAMPLE_IMG_DIR)</span>
<span id="cb17-2"><a href="#cb17-2" aria-hidden="true" tabindex="-1"></a>SAMPLE_IMG_DIR</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display">
<pre><code>Path('/home/evylz/AnimalEquality/lv-recipe-chatbot/assets/images/vegan_ingredients')</code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb19"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>CPU times: user 6.19 s, sys: 1.47 s, total: 7.66 s
Wall time: 4.68 s</code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb21"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>I uploaded an image that may contain vegan ingredients.
The description of the image is: `a refrigerator with food inside`.
The extracted ingredients are:
```
cabbage lettuce onion
apples
rice
plant-based milk
```

CPU times: user 56.7 s, sys: 63.6 ms, total: 56.8 s
Wall time: 5.95 s</code></pre>
</div>
</div>
<hr>
<p><a href="https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L126" target="_blank" style="float:right; font-size:smaller">source</a></p>
</section>
<section id="create_demo" class="level3">
<h3 class="anchored" data-anchor-id="create_demo">create_demo</h3>
<blockquote class="blockquote">
<pre><code> create_demo (bot=&lt;class '__main__.ConversationBot'&gt;)</code></pre>
</blockquote>
<div class="cell">
<div class="sourceCode cell-code" id="cb24"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> <span class="st">"demo"</span> <span class="kw">in</span> <span class="bu">globals</span>():</span>
<span id="cb24-2"><a href="#cb24-2" aria-hidden="true" tabindex="-1"></a>    demo.close()</span>
<span id="cb24-3"><a href="#cb24-3" aria-hidden="true" tabindex="-1"></a>demo <span class="op">=</span> create_demo(bot)</span>
<span id="cb24-4"><a href="#cb24-4" aria-hidden="true" tabindex="-1"></a>demo.launch()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>Closing server running on port: 7860
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.</code></pre>
</div>
<div class="cell-output cell-output-display">
<div><iframe src="http://127.0.0.1:7860/" width="100%" height="500" allow="autoplay; camera; microphone; clipboard-read; clipboard-write;" frameborder="0" allowfullscreen=""></iframe></div>
</div>
<div class="cell-output cell-output-display">
<pre><code></code></pre>
</div>
</div>


</section>
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