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PolPC13 commited on
Commit ·
9f77c23
1
Parent(s): 14fdbf2
Added ddgs.
Browse files- app.py +7 -12
- requirements.txt +1 -0
- tools/web_search.py +4 -4
app.py
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@@ -1,19 +1,14 @@
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool
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import yaml
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from tools.final_answer import FinalAnswerTool
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from tools.exchange_rates import ExchangeRatesTool
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from tools.
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from Gradio_UI import GradioUI
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# Nota: Para la parte de "actualización cada X tiempo", el agente llamará a este tool
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# cuando lo necesite. Si se quisiera un cache persistente, se podría usar la librería
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# 'cachetools' o 'functools.lru_cache' con un tiempo de vida (TTL) en la capa de la aplicación.
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exchange_rates = ExchangeRatesTool()
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get_current_time = GetCurrentTimeTool()
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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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agent = CodeAgent(
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model=model,
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tools=[final_answer,
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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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.exchange_rates import ExchangeRatesTool
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from tools.web_search import ddgs
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from tools.visit_webpage import VisitWebpageTool
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from Gradio_UI import GradioUI
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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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agent = CodeAgent(
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model=model,
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tools=[final_answer, ddgs, VisitWebpageTool, ExchangeRatesTool], ## add your tools here (don't remove final answer)
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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requirements.txt
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@@ -3,3 +3,4 @@ smolagents==1.13.0
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requests
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duckduckgo_search
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pandas
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requests
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duckduckgo_search
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pandas
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ddgs
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tools/web_search.py
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from typing import Any, Optional
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from smolagents.tools import Tool
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import
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class
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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 = {'query': {'type': 'string', 'description': 'The search query to perform.'}}
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super().__init__()
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self.max_results = max_results
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try:
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from
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except ImportError as e:
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raise ImportError(
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"You must install package `duckduckgo_search` to run this tool: for instance run `pip install
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) from e
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self.ddgs = DDGS(**kwargs)
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from typing import Any, Optional
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from smolagents.tools import Tool
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import ddgs
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class ddgs(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 = {'query': {'type': 'string', 'description': 'The search query to perform.'}}
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super().__init__()
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self.max_results = max_results
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try:
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from ddgs import DDGS
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except ImportError as e:
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raise ImportError(
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"You must install package `duckduckgo_search` to run this tool: for instance run `pip install ddgs`."
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) from e
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self.ddgs = DDGS(**kwargs)
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