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Update app.py
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app.py
CHANGED
@@ -9,14 +9,49 @@ 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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Args:
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arg1:
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arg2: the second argument
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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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@@ -55,7 +90,7 @@ 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], ## 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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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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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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@tool
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def my_custom_tool(arg1: str) -> str:
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"""
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A tool that uses the provided argument as a search query and returns the search results
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along with the current UTC time, all formatted in YAML.
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Args:
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arg1: The search query string.
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"""
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# Initialize the DuckDuckGo search tool and perform the search using arg1.
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search_tool = DuckDuckGoSearchTool()
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# Assuming the search tool has a method 'search' that returns a list of results.
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search_results = search_tool.search(arg1)
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# Get the current time in UTC with timezone information.
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now_utc = datetime.datetime.now(pytz.utc)
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formatted_time = now_utc.strftime("%Y-%m-%d %H:%M:%S %Z")
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# Build a response dictionary with the search query, current time, and search results.
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response = {
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"search_query": arg1,
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"current_time": formatted_time,
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"search_results": search_results
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}
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# Convert the response dictionary to a YAML-formatted string.
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yaml_response = yaml.dump(response, default_flow_style=False)
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# Optionally, pass the result to a final answer tool or UI component if desired.
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# For instance, FinalAnswerTool could be used to format the final output.
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# final_answer = FinalAnswerTool(yaml_response)
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# return final_answer
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return yaml_response
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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agent = CodeAgent(
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model=model,
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tools=[final_answer, my_custom_tool], ## 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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