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300 changes: 300 additions & 0 deletions examples/cookbooks/Government-Services-Assistant.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "ZH_nR-SvvkDG"
},
"source": [
"# Government Services Assistant - AI Chatbot"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "w8B741JgvpFj"
},
"source": [
"This notebook demonstrates how to use an AI-powered assistant to answer questions about government services and procedures, using the Firecrawl API and a friendly, step-by-step conversational approach."
]
},
{
"cell_type": "markdown",
"source": [
"[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Chile_Government_Services_Assistant.ipynb)\n"
],
"metadata": {
"id": "y8jiJYf4FA0m"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "RRw8sPG89KNb"
},
"source": [
"# Install dependencies"
]
},
{
"cell_type": "code",
"source": [
"!pip install flask firecrawl praisonaiagents google-genai python-dotenv deep-translator"
],
"metadata": {
"id": "rW8ltqCICV8o"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Set API Keys"
],
"metadata": {
"id": "XGjyt-B_EfbM"
}
},
{
"cell_type": "code",
"source": [
"import os\n",
"\n",
"os.environ['FIRECRAWL_API_KEY'] = \"your api key here\"\n",
"os.environ['OPENAI_API_KEY'] = \"your api key here\""
],
"metadata": {
"id": "qf8B_YltDiIe"
},
"execution_count": 4,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Import Libraries & Translator"
],
"metadata": {
"id": "ccO0vwvCEqUJ"
}
},
{
"cell_type": "code",
"source": [
"from firecrawl import FirecrawlApp, ScrapeOptions\n",
"from deep_translator import GoogleTranslator\n",
"import re\n",
"\n",
"def translate_to_spanish(text):\n",
" try:\n",
" return GoogleTranslator(source='auto', target='es').translate(text)\n",
" except Exception as e:\n",
" print(\"Translation to Spanish failed:\", e)\n",
" return text\n",
"\n",
"def translate_to_english(text):\n",
" try:\n",
" # Remove Markdown images and None values before translation\n",
" text = str(text).replace(\"None\", \"\")\n",
" text = re.sub(r'!\\[.*?\\]\\(.*?\\)', '', text)\n",
" return GoogleTranslator(source='auto', target='en').translate(text)\n",
" except Exception as e:\n",
" print(\"Translation to English failed:\", e)\n",
" return text"
],
"metadata": {
"id": "0prDQ5TpDnFu"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Firecrawl Tool Class"
],
"metadata": {
"id": "WxOlCHMmEuK2"
}
},
{
"cell_type": "code",
"source": [
"class FirecrawlTool:\n",
" def __init__(self, api_key, instruction: str, template: str):\n",
" if not api_key:\n",
" raise ValueError(\"Firecrawl API key not provided.\")\n",
" self.app = FirecrawlApp(api_key=api_key)\n",
" self.instruction = instruction\n",
" self.template = template\n",
"\n",
" def search(self, search: str) -> str:\n",
" if not search or len(search) < 5:\n",
" return \"Error: Please provide a valid search query (at least 5 characters).\"\n",
" response_md = \"\"\n",
" try:\n",
" search_result = self.app.search(\n",
" query=self.instruction + search,\n",
" limit=2,\n",
" country=\"cl\",\n",
" lang=\"es\", # Always search in Spanish for best results\n",
" scrape_options=ScrapeOptions(formats=[\"markdown\", \"links\"])\n",
" )\n",
" if search_result and hasattr(search_result, 'data') and search_result.data:\n",
" filtered_results = [\n",
" result for result in search_result.data\n",
" if str(result.get(\"url\", \"\")).startswith(\"https://www.chileatiende.gob.cl/fichas\") and not str(result.get(\"url\", \"\")).endswith(\"pdf\")\n",
" ]\n",
" if filtered_results:\n",
" for num, result in enumerate(filtered_results, start=1):\n",
" response_md += self.template.format(\n",
" result_number=num,\n",
" page_title=str(result.get(\"title\", \"\")),\n",
" page_url=str(result.get(\"url\", \"\")),\n",
" page_content=str(result.get(\"markdown\", \"\"))\n",
" )\n",
" return response_md\n",
" else:\n",
" return None\n",
" else:\n",
" return None\n",
" except Exception as e:\n",
" return f\"Error during search: {e}\""
],
"metadata": {
"id": "G4RyzJ5mDp0t"
},
"execution_count": 6,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Firecrawl Prompt Template"
],
"metadata": {
"id": "MjkjTWn_ExS0"
}
},
{
"cell_type": "code",
"source": [
"FIRECRAWL_INSTRUCTION = \"ChileAtiende: \"\n",
"FIRECRAWL_TEMPLATE = \"\"\"\n",
"# Result {result_number}\n",
"\n",
"## Page Name:\n",
"\"{page_title}\"\n",
"\n",
"## URL:\n",
"{page_url}\n",
"\n",
"## Content:\n",
"{page_content}\n",
"\n",
"\"\"\""
],
"metadata": {
"id": "AfivymU8Dufz"
},
"execution_count": 7,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Initialize Firecrawl Tool"
],
"metadata": {
"id": "zK8AA_DlEz9K"
}
},
{
"cell_type": "code",
"source": [
"firecrawl_tool = FirecrawlTool(\n",
" api_key=os.environ['FIRECRAWL_API_KEY'],\n",
" instruction=FIRECRAWL_INSTRUCTION,\n",
" template=FIRECRAWL_TEMPLATE\n",
")"
],
"metadata": {
"id": "c3NKK0ZjDwKT"
},
"execution_count": 8,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Main Chat Loop"
],
"metadata": {
"id": "uzXYIF_gE3XV"
}
},
{
"cell_type": "code",
"source": [
"print(\"Hello! I am your ChileAtiende assistant, Tomás. How can I help you today?\")\n",
"print(\"You can ask me, for example: How to renew your ID card, How to apply for the Winter Bonus, etc.\")\n",
"\n",
"while True:\n",
" user_input = input(\"\\nYou: \")\n",
" if user_input.lower() in [\"exit\", \"quit\"]:\n",
" print(\"Tomás: It was a pleasure to help you. Goodbye!\")\n",
" break\n",
"\n",
" # Translate English input to Spanish for Firecrawl\n",
" spanish_query = translate_to_spanish(user_input)\n",
" spanish_answer = firecrawl_tool.search(spanish_query)\n",
"\n",
" # Only translate if we got a real answer\n",
" if spanish_answer and isinstance(spanish_answer, str) and spanish_answer.strip() and \"Error\" not in spanish_answer:\n",
" try:\n",
" english_answer = translate_to_english(spanish_answer)\n",
" print(\"\\nTomás (in English):\\n\", english_answer)\n",
" except Exception as e:\n",
" print(f\"\\nTomás: I found information, but couldn't translate it. Here it is in Spanish:\\n{spanish_answer}\\n(Translation error: {e})\")\n",
" else:\n",
" print(\"\\nTomás: Sorry, I couldn't find relevant information. Try rephrasing your question or ask about another service.\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "TXMgZQNkDx7n",
"outputId": "76303cd1-a576-483f-a22d-9857e5e6d797"
},
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Hello! I am your ChileAtiende assistant, Tomás. How can I help you today?\n",
"You can ask me, for example: How to renew your ID card, How to apply for the Winter Bonus, etc.\n",
"\n",
"You: exit\n",
"Tomás: It was a pleasure to help you. Goodbye!\n"
]
}
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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