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import pytesseract |
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from PIL import Image |
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from dotenv import load_dotenv |
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from langchain.tools import tool |
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from langchain_community.document_loaders import WikipediaLoader |
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from langchain_community.tools import TavilySearchResults |
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@tool |
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def multiply(a: int, b: int) -> int: |
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"""Multiply two numbers. |
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Args: |
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a: first int |
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b: second int |
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""" |
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return a * b |
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@tool |
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def add(a: int, b: int) -> int: |
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"""Add two numbers. |
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Args: |
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a: first int |
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b: second int |
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""" |
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return a + b |
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@tool |
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def subtract(a: int, b: int) -> int: |
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"""Subtract two numbers. |
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Args: |
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a: first int |
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b: second int |
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""" |
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return a - b |
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@tool |
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def divide(a: int, b: int) -> float: |
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"""Divide two numbers. |
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Args: |
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a: first int |
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b: second int |
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""" |
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try: |
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return a / b |
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except ZeroDivisionError: |
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raise ValueError("Cannot divide by zero.") |
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@tool |
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def modulus(a: int, b: int) -> int: |
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"""Get the modulus of two numbers. |
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Args: |
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a: first int |
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b: second int |
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""" |
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return a % b |
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@tool |
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def wiki_search(query: str) -> str: |
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"""Search Wikipedia for a query and return up to 3 results. |
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Args: |
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query: query to search. |
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""" |
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docs = WikipediaLoader(query, load_max_docs=3).load() |
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results = "wiki_search results:\n\n" |
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results += '\n\n---\n\n'.join([ |
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f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>' |
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for doc in docs |
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]) |
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return results |
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@tool |
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def web_search(query: str) -> str: |
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"""Search the web for a query and return up to 3 results. |
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Args: |
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query: query to search. |
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""" |
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docs = TavilySearchResults(max_results=3).invoke(query) |
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results = "web_search results:\n\n" |
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results += '\n\n---\n\n'.join([ |
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f'<Document source="{doc["url"]}"/>\n{doc["content"]}\n</Document>' |
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for doc in docs |
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]) |
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return results |
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@tool |
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def extract_text_from_image(image_path: str) -> str: |
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"""Extract text from a image. |
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Args: |
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image_path: path to the image |
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Returns: |
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extracted text from the image |
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""" |
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try: |
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image = Image.open(image_path) |
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text = pytesseract.image_to_string(image) |
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return f'Extracted text: {text}' |
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except Exception as err: |
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return f'Error extracting text from the image {image_path}: {str(err)}' |
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all_tools = [ |
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multiply, |
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add, |
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subtract, |
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divide, |
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modulus, |
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wiki_search, |
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web_search, |
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extract_text_from_image, |
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] |
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def main(): |
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load_dotenv() |
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results = wiki_search('What is Dijkstra algorithm?') |
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print(results) |
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print('-'*80) |
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results = web_search('What is TypedDict in python') |
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print(results) |
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print('-'*80) |
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if __name__ == '__main__': |
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main() |
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