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import yaml |
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import os |
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from smolagents import GradioUI, CodeAgent, TransformersModel |
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CURRENT_DIR = os.path.dirname(os.path.abspath(__file__)) |
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from tools.fetch_lastest_news_titles_and_urls import SimpleTool as FetchLastestNewsTitlesAndUrls |
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from tools.summarize_news import SimpleTool as SummarizeNews |
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from tools.extract_news_article_content import SimpleTool as ExtractNewsArticleContent |
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from tools.classify_topic import SimpleTool as ClassifyTopic |
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from tools.final_answer import FinalAnswerTool as FinalAnswer |
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model = TransformersModel( |
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max_new_tokens=2000, |
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model_id='Qwen/Qwen2.5-Coder-3B-Instruct', |
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) |
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fetch_lastest_news_titles_and_urls = FetchLastestNewsTitlesAndUrls() |
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summarize_news = SummarizeNews() |
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extract_news_article_content = ExtractNewsArticleContent() |
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classify_topic = ClassifyTopic() |
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final_answer = FinalAnswer() |
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with open(os.path.join(CURRENT_DIR, "prompts.yaml"), 'r') as stream: |
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prompt_templates = yaml.safe_load(stream) |
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agent_news_agent = CodeAgent( |
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model=model, |
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tools=[fetch_lastest_news_titles_and_urls, summarize_news, extract_news_article_content, classify_topic], |
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managed_agents=[], |
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class='CodeAgent', |
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max_steps=20, |
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verbosity_level=2, |
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grammar=None, |
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planning_interval=None, |
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name='news_agent', |
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description='This agent is a smart news aggregator that fetches, summarizes, and classifies real-time news updates.', |
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executor_type='local', |
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executor_kwargs={}, |
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max_print_outputs_length=None, |
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prompt_templates=prompt_templates |
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) |
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if __name__ == "__main__": |
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GradioUI(agent_news_agent).launch() |
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