Spaces:
Sleeping
Sleeping
first agent
Browse files- .gitignore +54 -0
- app.py +57 -14
- tools/web_search.py +9 -3
.gitignore
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# Python
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*.py[cod]
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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.gradio/
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__pycache__/
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# Virtual Environment
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venv/
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.venv/
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ENV/
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env/
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# IDE specific files
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.idea/
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.vscode/
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*.swp
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*.swo
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.DS_Store
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# Jupyter Notebook
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.ipynb_checkpoints
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# Local development settings
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*.log
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.env.local
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.env.*.local
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.env
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# Gradio specific
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gradio_cached_examples/
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flagged/
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# Model files & cache
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models/
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*.pt
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*.pth
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*.ckpt
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.cache/
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app.py
CHANGED
@@ -1,23 +1,55 @@
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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def my_custom_tool(
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-
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Args:
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arg1: the first argument
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arg2: the second argument
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"""
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return "What magic will you build ?"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id=
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml",
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from tools.visit_webpage import VisitWebpageTool
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from tools.web_search import DuckDuckGoSearchTool
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import os
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from dotenv import load_dotenv
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load_dotenv(override=True)
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from Gradio_UI import GradioUI
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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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def my_custom_tool(
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arg1: str, arg2: int
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) -> str: # it's import to specify the return type
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# Keep this format for the description / args / args description but feel free to modify the tool
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"""A tool that does nothing yet
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Args:
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arg1: the first argument
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arg2: the second argument
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"""
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return "What magic will you build ?"
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@tool
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def get_crypto_price(coin_name: str) -> str:
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"""Get latest crypto price in usd for a given coin name
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Args:
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coin_name: The unique name of the coin in lowercase. e.g. bitcoin.
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"""
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api_key = os.getenv("COINGECKO_API_KEY")
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headers = {"accept": "application/json", "x-cg-demo-api-key": api_key}
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url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_name}&vs_currencies=usd"
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response = requests.get(url, headers=headers)
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data = response.json()
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if coin_name in data and "usd" in data[coin_name]:
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price = data[coin_name]["usd"]
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return price
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else:
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return None
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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search_tool = DuckDuckGoSearchTool(max_results=10)
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visit_webpage_tool = VisitWebpageTool()
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final_answer = FinalAnswerTool()
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# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id="Qwen/Qwen2.5-Coder-32B-Instruct", # it is possible that this model may be overloaded
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", "r") as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[
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final_answer,
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visit_webpage_tool,
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search_tool,
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get_current_time_in_timezone,
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get_crypto_price,
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image_generation_tool,
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],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates,
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# authorized_imports=["requests", "random", "numpy", "pandas"],
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)
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GradioUI(agent).launch()
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tools/web_search.py
CHANGED
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from typing import Any, Optional
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from smolagents
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import duckduckgo_search
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class DuckDuckGoSearchTool(Tool):
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name = "web_search"
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description = "Performs a duckduckgo web search based on your query (think a Google search) then returns the top search results."
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inputs = {
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output_type = "string"
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def __init__(self, max_results=10, **kwargs):
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results = self.ddgs.text(query, max_results=self.max_results)
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if len(results) == 0:
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raise Exception("No results found! Try a less restrictive/shorter query.")
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postprocessed_results = [
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return "## Search Results\n\n" + "\n\n".join(postprocessed_results)
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from typing import Any, Optional
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from smolagents import Tool
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import duckduckgo_search
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class DuckDuckGoSearchTool(Tool):
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name = "web_search"
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description = "Performs a duckduckgo web search based on your query (think a Google search) then returns the top search results."
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inputs = {
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"query": {"type": "string", "description": "The search query to perform."}
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}
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output_type = "string"
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def __init__(self, max_results=10, **kwargs):
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results = self.ddgs.text(query, max_results=self.max_results)
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if len(results) == 0:
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raise Exception("No results found! Try a less restrictive/shorter query.")
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postprocessed_results = [
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f"[{result['title']}]({result['href']})\n{result['body']}"
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for result in results
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]
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return "## Search Results\n\n" + "\n\n".join(postprocessed_results)
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