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Update app.py
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app.py
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@@ -1,14 +1,12 @@
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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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#
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search_tool = DuckDuckGoSearchTool(max_results=5)
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#
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@tool
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def extract_summary_from_text(text: str) -> str:
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"""Extracts a short summary from the given text.
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"""
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return text[:300] + "..." if len(text) > 300 else text
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#
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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custom_role_conversions=None,
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)
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#
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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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#
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agent =
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model=model,
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tools=[search_tool, extract_summary_from_text, FinalAnswerTool()], # Add tools
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max_steps=6,
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prompt_templates=prompt_templates
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)
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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 yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Import the DuckDuckGo search tool
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search_tool = DuckDuckGoSearchTool(max_results=5)
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# Custom summarization tool
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@tool
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def extract_summary_from_text(text: str) -> str:
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"""Extracts a short summary from the given text.
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"""
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return text[:300] + "..." if len(text) > 300 else text
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# Hugging Face API model
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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custom_role_conversions=None,
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)
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# Load prompt templates
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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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# ✅ Use CodeAgent instead of WebAgent
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agent = CodeAgent(
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model=model,
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tools=[search_tool, extract_summary_from_text, FinalAnswerTool()], # Add tools
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max_steps=6,
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prompt_templates=prompt_templates
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)
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# Launch Gradio UI
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GradioUI(agent).launch()
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