Spaces:
Sleeping
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testing duckduckgosearchtool
#1
by
bivalve
- opened
app.py
CHANGED
@@ -14,14 +14,15 @@ def wiki_of_person(name_of_person:str) -> str:
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Args:
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name_of_person: The name of the person to look up for in wikipedia
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"""
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search_tool = DuckDuckGoSearchTool()
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# Use DuckDuckGoSearchTool to search for the wikipedia url of the person and then visit the url
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query = f"{name_of_person} wikipedia"
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wikipedia_url = search_tool(query)
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# Use the wikipedia url to get the person's description, location, and interesting facts
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wikipedia_results =
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return f"Detailes description: {wikipedia_results['description']}, Location: {wikipedia_results['location']}, Interesting facts: {wikipedia_results['interesting facts']}"
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-
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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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@@ -96,7 +97,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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-
tools=[final_answer, image_generation_tool, get_current_time_in_timezone,
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add_base_tools=True,
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max_steps=6,
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verbosity_level=1,
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Args:
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name_of_person: The name of the person to look up for in wikipedia
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"""
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+
#search_tool = DuckDuckGoSearchTool()
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# Use DuckDuckGoSearchTool to search for the wikipedia url of the person and then visit the url
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query = f"{name_of_person} wikipedia"
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#wikipedia_url = search_tool(query)
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# Use the wikipedia url to get the person's description, location, and interesting facts
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wikipedia_results = DuckDuckGoSearchTool(query)
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#return f"Detailes description: {wikipedia_results['description']}, Location: {wikipedia_results['location']}, Interesting facts: {wikipedia_results['interesting facts']}"
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return wikipedia_results
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+
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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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agent = CodeAgent(
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model=model,
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+
tools=[final_answer, image_generation_tool, get_current_time_in_timezone, DuckDuckGoSearchTool(), convert_currency], ## add your tools here (don't remove final answer)
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add_base_tools=True,
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max_steps=6,
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verbosity_level=1,
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