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[PIP READY]
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agent_workspace/AI-Research-Paper-Summarizer_state.json

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example.py

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from rph.agent import summarize_papers
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from paper_hive.agent import summarize_papers
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if __name__ == "__main__":
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summary = summarize_papers()

paper_hive/__init__.py

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from paper_hive.agent import (
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summarize_papers,
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agent as paper_summarizer_agent,
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)
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from paper_hive.paper_fetcher import DailyPapersDownloader
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__all__ = [
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"summarize_papers",
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"paper_summarizer_agent",
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"DailyPapersDownloader",
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]

rph/agent.py paper_hive/agent.py

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import os
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from swarms import Agent, OpenAIChat
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from loguru import logger
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from rph.paper_fetcher import DailyPapersDownloader
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from paper_hive.paper_fetcher import DailyPapersDownloader
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from dotenv import load_dotenv
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load_dotenv()
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pyproject.toml

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build-backend = "poetry.core.masonry.api"
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[tool.poetry]
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name = "paper"
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name = "paper-hive"
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version = "0.0.1"
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description = "Paper - Pytorch"
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description = "RPH - Swarms Research Paper Hive"
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license = "MIT"
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authors = ["Kye Gomez <[email protected]>"]
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homepage = "https://github.com/kyegomez/paper"
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documentation = "https://github.com/kyegomez/paper" # Add this if you have documentation.
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homepage = "https://github.com/The-Swarm-Corporation/Research-Paper-Hive"
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documentation = "https://github.com/The-Swarm-Corporation/Research-Paper-Hive" # Add this if you have documentation.
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readme = "README.md" # Assuming you have a README.md
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repository = "https://github.com/kyegomez/paper"
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repository = "https://github.com/The-Swarm-Corporation/Research-Paper-Hive"
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keywords = ["artificial intelligence", "deep learning", "optimizers", "Prompt Engineering"]
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classifiers = [
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"Development Status :: 4 - Beta",
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[tool.poetry.dependencies]
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python = "^3.10"
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swarms = "*"
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zetascale = "*"
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loguru = "*"
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pydantic = "*"
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dotenv = "*"
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[tool.poetry.dev-dependencies]
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# Add development dependencies here

rph/__init__.py

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