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"cells": [
{
"cell_type": "markdown",
"id": "d444d3ce",
"metadata": {},
"source": [
"# Build and Deploy a Multimodal Chatbot\n",
"\n",
"Queens University - GenAI - From Studio 2, Lab 2\n",
"\n",
"references: \n",
"\n",
"medium: [Build and Deploy a Multimodal Chatbot with Gemini API](https://medium.com/@turna.fardousi/building-a-multimodal-chatbot-with-gemini-api-8015bfbee538)\n",
"\n",
"hugging face space [Gemini 2.0 Multimodal Chatbot](https://huggingface.co/spaces/Rahatara/Gemini2)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "1cd185e6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"It learns from data to recognize patterns and make predictions or decisions.\n"
]
}
],
"source": [
"from google import genai\n",
"GEMINI_API_KEY = 'AIzaSyCMOojm7aZCdHsN1n6DKQRj4IWl9J9MuVs'\n",
"\n",
"client = genai.Client(api_key=GEMINI_API_KEY)\n",
"\n",
"response = client.models.generate_content(\n",
" model=\"gemini-2.5-flash\", contents=\"Explain how AI works in a few words\"\n",
")\n",
"print(response.text)"
]
}
],
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"language": "python",
"name": "python3"
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"name": "ipython",
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"file_extension": ".py",
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