52 lines
1.2 KiB
Python
52 lines
1.2 KiB
Python
import argparse
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from dotenv import load_dotenv
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from agent import agent
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from vectorstore import create_vectorstore, load_documents
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def ingest_documents(directory: str) -> None:
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vectorstore = create_vectorstore()
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chunk_count = load_documents(directory, vectorstore)
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print(f"Loaded {chunk_count} chunks from {directory} into ChromaDB.")
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def run_chat() -> None:
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print("RAG agent ready. Type 'exit' to quit.")
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while True:
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user_input = input("You: ").strip()
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if user_input.lower() == "exit":
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print("Goodbye!")
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return
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if not user_input:
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continue
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result = agent.invoke(
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{"messages": [{"role": "user", "content": user_input}]}
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)
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final_message = result["messages"][-1]
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print(f"Assistant: {final_message.content}")
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def main() -> None:
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load_dotenv()
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--ingest",
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metavar="DIRECTORY",
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help="Load .txt and .md files from DIRECTORY into ChromaDB before the demo.",
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)
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args = parser.parse_args()
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if args.ingest:
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ingest_documents(args.ingest)
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return
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run_chat()
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if __name__ == "__main__":
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main()
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