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Update app.py
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app.py
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@@ -1,22 +1,27 @@
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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
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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
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Args:
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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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@@ -34,7 +39,9 @@ def get_current_time_in_timezone(timezone: str) -> str:
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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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@@ -55,7 +62,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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tools=[
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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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from gitingest import ingest
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import pytz
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import yaml
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from tools import final_answer, visit_webpage
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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 ingest_repository(git_dir_path: str)-> tuple[str, str, str]:
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"""A tool that takes the url of a github directory and ingests the whole codebase
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into a text dump of their contents
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The output is a tuple containing a short summary with statistics of the dump,
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the repository tree andthe actual text dump of the repository content.
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Args:
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git_dir_path: the url containing the path of the github repository
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"""
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summary, tree, content = ingest(git_dir_path)
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return (summary, tree, content)
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = final_answer.FinalAnswerTool()
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visit_webpage = visit_webpage.VisitWebpageTool()
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web_search = DuckDuckGoSearchTool()
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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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agent = CodeAgent(
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model=model,
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tools=[ingest_repository, 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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