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{
"cells": [
{
"cell_type": "raw",
"metadata": {},
"source": [
"---\n",
"description: Gradio app.py\n",
"output-file: app.html\n",
"title: app\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"---\n",
"\n",
"[source](https://github.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L32){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### ConversationBot\n",
"\n",
"> ConversationBot (verbose=True)\n",
"\n",
"Initialize self. See help(type(self)) for accurate signature."
],
"text/plain": [
"---\n",
"\n",
"[source](https://github.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L32){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### ConversationBot\n",
"\n",
"> ConversationBot (verbose=True)\n",
"\n",
"Initialize self. See help(type(self)) for accurate signature."
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#| echo: false\n",
"#| output: asis\n",
"show_doc(ConversationBot)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"data": {
"text/plain": [
"['veggie-fridge.jpeg',\n",
" 'veg-groceries-table.jpg',\n",
" 'fridge-splendid.jpg',\n",
" 'neat-veg-groceries.jpg',\n",
" 'veg-groceries-table.jpeg',\n",
" 'Fruits-and-vegetables-one-a-table.jpg']"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.listdir(SAMPLE_IMG_DIR)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [],
"source": [
"from dotenv import load_dotenv"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"load_dotenv()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 6.19 s, sys: 1.47 s, total: 7.66 s\n",
"Wall time: 4.68 s\n"
]
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"I uploaded an image that may contain vegan ingredients.\n",
"The description of the image is: `a refrigerator with food inside`.\n",
"The extracted ingredients are:\n",
"```\n",
"cabbage lettuce onion\n",
"apples\n",
"rice\n",
"plant-based milk\n",
"```\n",
"\n",
"CPU times: user 56.7 s, sys: 63.6 ms, total: 56.8 s\n",
"Wall time: 5.95 s\n"
]
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"data": {
"text/plain": [
"HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['ingredients'], output_parser=None, partial_variables={}, template='I uploaded an image that may contain vegan ingredients.\\nThe description of the image is: `a refrigerator with food inside`.\\nThe extracted ingredients are:\\n```\\ncabbage lettuce onion\\napples\\nrice\\nplant-based milk\\n```\\nI may type some more ingredients below.\\nIngredients: {ingredients}', template_format='f-string', validate_template=True), additional_kwargs={})"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bot.init_prompt.messages[2]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"data": {
"text/plain": [
"HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['ingredients'], output_parser=None, partial_variables={}, template='Ingredients: {ingredients}', template_format='f-string', validate_template=True), additional_kwargs={})"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"INIT_PROMPT.messages[2]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"---\n",
"\n",
"[source](https://github.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L116){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### create_demo\n",
"\n",
"> create_demo (bot=<class '__main__.ConversationBot'>)"
],
"text/plain": [
"---\n",
"\n",
"[source](https://github.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L116){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### create_demo\n",
"\n",
"> create_demo (bot=<class '__main__.ConversationBot'>)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#| echo: false\n",
"#| output: asis\n",
"show_doc(create_demo)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Closing server running on port: 7860\n",
"Running on local URL: http://127.0.0.1:7860\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<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>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"if \"demo\" in globals():\n",
" demo.close()\n",
"demo = create_demo(bot)\n",
"demo.launch()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "python3",
"language": "python",
"name": "python3"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}
|