62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
import streamlit as st
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from openai import OpenAI
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import json
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# Set up the Streamlit app
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st.title("BuffTeks Chatbot")
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st.subheader("Chat with the [DeepSeek](https://www.deepseek.com/)-powered AI assistant!")
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st.info("Feel free to chat with the chatbot! Just a heads up, you have 10 messages to use.")
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with st.expander("See Source Code"):
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with open(__file__, "r") as f:
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st.code(f.read(), language="python")
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# Load API credentials from config.json
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with open('config.json') as config_file:
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config = json.load(config_file)
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openai_api_base_url = config["api_url"]
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openai_api_key = config["api_key"]
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client = OpenAI(api_key=openai_api_key, base_url=openai_api_base_url)
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# Initialize session state to store chat history and message count
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if "messages" not in st.session_state:
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st.session_state.messages = []
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if "message_count" not in st.session_state:
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st.session_state.message_count = 0
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# Set the maximum number of user messages
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MAX_USER_MESSAGES = 10
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# Display chat history
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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# Chat input
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if st.session_state.message_count < MAX_USER_MESSAGES:
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if prompt := st.chat_input("Type your message..."):
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt})
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st.session_state.message_count += 1
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with st.chat_message("user"):
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st.markdown(prompt)
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# Call DeepSeek for a response
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with st.chat_message("assistant"):
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stream = client.chat.completions.create(
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model="deepseek-chat",
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messages=[
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{"role": m["role"], "content": m["content"]}
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for m in st.session_state.messages
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],
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stream=True,
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)
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response = st.write_stream(stream)
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st.session_state.messages.append({"role": "assistant", "content": response})
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else:
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st.warning("You have reached the maximum number of messages allowed.")
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if st.button("Clear Chat"):
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st.session_state.messages = [] |