app.py

"""
Chatbot Nuevo Régimen Académico
"""
from chatbot.ui import ChatbotInterface
from chatbot.llm import GeminiAI
from chatbot.embeddings import init_embeddings
from chatbot.vectorstore import ChromaDB
from langchain.globals import set_verbose, set_debug


def format_docs(docs):
    return "\n\n".join(doc.page_content for doc in docs)


def respond(message, history):
    docs = retriever.invoke(message)
    chain = llm.main_prompt | llm.llm

    response = chain.invoke({"context": format_docs(docs), "message": message, "history": history})
    return response.content


if __name__ == "__main__":
    set_verbose(True)
    set_debug(True)

    embeddings = init_embeddings()
    retriever = ChromaDB(embeddings).db.as_retriever(search_type="similarity", search_kwargs={"k": 3})

    llm = GeminiAI("gemini-1.5-flash")
    ui = ChatbotInterface(respond)

    ui.app.launch()