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import pickle | |
from query_data import get_chain | |
if __name__ == "__main__": | |
with open("biovectorstore.pkl", "rb") as f: | |
vectorstore = pickle.load(f) | |
qa_chain = get_chain(vectorstore) | |
chat_history = [] | |
print("Chat with your docs!") | |
while True: | |
print("Human:") | |
question = input() | |
result = qa_chain({"question": question, "chat_history": chat_history}) | |
chat_history.append((question, result["answer"])) | |
print("AI:") | |
print(result["answer"]) | |