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| # from langchain_community.llms import HuggingFaceEndpoint | |
| # from langchain.prompts import PromptTemplate | |
| # from langchain.schema import AIMessage, HumanMessage | |
| # from langchain.chains import LLMChain | |
| import gradio as gr | |
| import os | |
| import time | |
| from crew import CryptoCrew | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| # @TODO: Stream, show instruction | |
| def predict(message, history): | |
| # company = input( | |
| # dedent(""" | |
| # Which cryptocurrency are you looking to delve into? | |
| # """)) | |
| crypto_crew = CryptoCrew(message) | |
| response = crypto_crew.run(logging=True) | |
| for i in range(len(response)): | |
| time.sleep(0.001) | |
| yield response[: i+1] | |
| # return response | |
| gr.ChatInterface( | |
| predict, | |
| description="Which cryptocurrency are you looking to delve into? E.g: Doge, ETH, BTC... " | |
| ).launch() | |