Add Government Services Assistant notebook #686
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WalkthroughA new Jupyter notebook example introduces "Tomás," an AI chatbot assistant for answering questions about Chilean government services. The notebook integrates translation utilities and a custom FirecrawlTool class to query and summarize relevant ChileAtiende service pages, enabling English-language interaction with primarily Spanish-language information sources. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Notebook
participant FirecrawlTool
participant GoogleTranslator
User->>Notebook: Enter question (in English)
Notebook->>GoogleTranslator: translate_to_spanish(question)
GoogleTranslator-->>Notebook: question (in Spanish)
Notebook->>FirecrawlTool: search(spanish_question)
FirecrawlTool-->>Notebook: response (in Spanish)
Notebook->>GoogleTranslator: translate_to_english(response)
GoogleTranslator-->>Notebook: response (in English)
Notebook->>User: Display answer (in English)
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Summary of Changes
Hello @Dhivya-Bharathy, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request adds a new, self-contained AI assistant notebook focused on providing clear information about Chilean government services. The assistant is designed for ease of use, integrating web scraping and language translation to deliver relevant answers to user queries.
Highlights
- New AI Assistant Notebook: This PR introduces a new Jupyter notebook,
Chile_Government_Services_Assistant_.ipynb, which implements an AI-powered assistant designed to help users navigate Chilean government services. - Firecrawl Integration for Data Retrieval: The assistant leverages the Firecrawl API to search and scrape official information directly from the
chileatiende.gob.clwebsite, ensuring relevant and up-to-date service details. - Multilingual Support with Automatic Translation: It features built-in translation capabilities using
deep-translator, allowing users to interact in English while the system queries in Spanish and translates the results back to English, enhancing accessibility. - User-Friendly Chat Interface: The notebook provides a simple, interactive chat loop, guiding users through inquiries about government procedures in a conversational and step-by-step manner.
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #686 +/- ##
==========================================
- Coverage 14.50% 14.23% -0.27%
==========================================
Files 25 25
Lines 2517 2571 +54
Branches 357 367 +10
==========================================
+ Hits 365 366 +1
- Misses 2136 2189 +53
Partials 16 16
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Code Review
The pull request introduces a new notebook for an AI-powered assistant that helps users find information about Chilean government services. The code includes translation functions, a Firecrawl tool class, and a main chat loop. The code appears functional, but there are opportunities to improve error handling, input validation, and code readability.
| " text = str(text).replace(\"None\", \"\")\n", | ||
| " text = re.sub(r'!\\[.*?\\]\\(.*?\\)', '', text)\n", |
There was a problem hiding this comment.
Consider using a more robust method for removing Markdown images, as this regex might not cover all cases.
text = str(text).replace("None", "")
text = re.sub(r'!\[.*?\]\(.*?\)', '', text)
| " if not search or len(search) < 5:\n", | ||
| " return \"Error: Please provide a valid search query (at least 5 characters).\"\n", |
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Consider adding input validation to check if search is a string to prevent potential errors.
if not search or len(search) < 5:
return "Error: Please provide a valid search query (at least 5 characters)."
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Actionable comments posted: 3
🧹 Nitpick comments (2)
examples/cookbooks/Chile_Government_Services_Assistant_.ipynb (2)
132-163: Consider consistent return types for better error handling.The
searchmethod returns different types (None,str) which makes error handling complex. Consider always returning a string with clear indicators for different scenarios.else: - return None + return "No relevant information found for your query." else: - return None + return "No results found. Please try a different search term."
254-254: Simplify complex result validation logic.The condition for determining valid search results is complex and hard to read. Consider extracting this logic into a helper function.
+def is_valid_result(result): + """Check if the search result is valid and not an error.""" + return (result and + isinstance(result, str) and + result.strip() and + "Error" not in result) + # Only translate if we got a real answer - if spanish_answer and isinstance(spanish_answer, str) and spanish_answer.strip() and "Error" not in spanish_answer: + if is_valid_result(spanish_answer):
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examples/cookbooks/Chile_Government_Services_Assistant_.ipynb(1 hunks)
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🔇 Additional comments (4)
examples/cookbooks/Chile_Government_Services_Assistant_.ipynb (4)
24-24: Verify the repository URL in the Colab badge.The Colab badge URL references "DhivyaBharathy-web/PraisonAI" but the PR is being submitted to "MervinPraison/PraisonAI". Please confirm this is the correct repository reference.
89-104: Good implementation of translation functions with proper error handling.The translation functions are well-implemented with appropriate error handling and preprocessing. The fallback behavior of returning original text on translation failure is suitable for this chatbot context.
183-196: Well-structured template for formatting search results.The template provides clear, well-organized formatting for search results with proper markdown structure.
216-220: Clean tool initialization.The FirecrawlTool initialization properly uses environment variables and predefined constants.
| "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", |
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🛠️ Refactor suggestion
Add class and method documentation for better maintainability.
The FirecrawlTool class and its methods lack docstrings. Adding documentation would improve code maintainability and user understanding.
class FirecrawlTool:
+ """
+ A tool for searching Chilean government services using the Firecrawl API.
+
+ This class provides functionality to search for information on ChileAtiende
+ government service pages and format the results.
+ """
+
def __init__(self, api_key, instruction: str, template: str):
+ """
+ Initialize the FirecrawlTool.
+
+ Args:
+ api_key (str): Firecrawl API key
+ instruction (str): Search instruction prefix
+ template (str): Template for formatting results
+
+ Raises:
+ ValueError: If API key is not provided
+ """📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| "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", | |
| class FirecrawlTool: | |
| """ | |
| A tool for searching Chilean government services using the Firecrawl API. | |
| This class provides functionality to search for information on ChileAtiende | |
| government service pages and format the results. | |
| """ | |
| def __init__(self, api_key, instruction: str, template: str): | |
| """ | |
| Initialize the FirecrawlTool. | |
| Args: | |
| api_key (str): Firecrawl API key | |
| instruction (str): Search instruction prefix | |
| template (str): Template for formatting results | |
| Raises: | |
| ValueError: If API key is not provided | |
| """ | |
| if not api_key: | |
| raise ValueError("Firecrawl API key not provided.") | |
| self.app = FirecrawlApp(api_key=api_key) | |
| self.instruction = instruction | |
| self.template = template |
🤖 Prompt for AI Agents
In examples/cookbooks/Chile_Government_Services_Assistant_.ipynb around lines
124 to 130, the FirecrawlTool class and its __init__ method lack docstrings. Add
clear and concise docstrings to the class describing its purpose and to the
__init__ method explaining the parameters and their roles to improve
maintainability and user understanding.
| "os.environ['FIRECRAWL_API_KEY'] = \"your api key here\"\n", | ||
| "os.environ['OPENAI_API_KEY'] = \"your api key here\"" |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Use secure input method for API keys to prevent accidental commits.
Hardcoded API key placeholders can lead to accidental commits of real keys. Consider using getpass for secure input.
-os.environ['FIRECRAWL_API_KEY'] = "your api key here"
-os.environ['OPENAI_API_KEY'] = "your api key here"
+from getpass import getpass
+
+os.environ['FIRECRAWL_API_KEY'] = getpass("Enter your Firecrawl API key: ")
+os.environ['OPENAI_API_KEY'] = getpass("Enter your OpenAI API key: ")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| "os.environ['FIRECRAWL_API_KEY'] = \"your api key here\"\n", | |
| "os.environ['OPENAI_API_KEY'] = \"your api key here\"" | |
| from getpass import getpass | |
| os.environ['FIRECRAWL_API_KEY'] = getpass("Enter your Firecrawl API key: ") | |
| os.environ['OPENAI_API_KEY'] = getpass("Enter your OpenAI API key: ") |
🤖 Prompt for AI Agents
In examples/cookbooks/Chile_Government_Services_Assistant_.ipynb around lines 64
to 65, the API keys are set using hardcoded strings which risks accidental
commits of sensitive information. Replace these hardcoded assignments with
secure input prompts using the getpass module to read the API keys at runtime
without displaying them, preventing exposure in the codebase.
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "!pip install flask firecrawl praisonaiagents google-genai python-dotenv deep-translator" |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Remove unused dependencies to reduce footprint.
Several installed packages (flask, praisonaiagents, google-genai, python-dotenv) are not used in the notebook. Consider removing them to minimize dependencies.
-!pip install flask firecrawl praisonaiagents google-genai python-dotenv deep-translator
+!pip install firecrawl deep-translatorCommittable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In examples/cookbooks/Chile_Government_Services_Assistant_.ipynb at line 42, the
pip install command includes unused packages such as flask, praisonaiagents,
google-genai, and python-dotenv. Remove these unused dependencies from the
install command to reduce the environment footprint and only keep the necessary
packages like firecrawl and deep-translator.
Dhivya-Bharathy
changed the title
…nment-Services-Assistant.ipynb
This PR adds an AI-powered assistant that helps users find clear, step-by-step information about Chilean government services and procedures.
The assistant uses Firecrawl to fetch official data from ChileAtiende and provides answers in English, with automatic translation.
It features a user-friendly chat interface designed to support citizens, especially seniors, in navigating public services.
Summary by CodeRabbit