Upload 2 files
Browse files- app.py +37 -0
- requirements.txt +5 -0
app.py
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import streamlit as st
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from langchain.chat_models import ChatOpenAI
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from langchain.schema import AIMessage, HumanMessage, SystemMessage
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st.set_page_config(page_title="Ask Me", page_icon=":random:")
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st.header("Hello, I am your personal assistant", help="Enter your question in the bar")
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if "sessionMessage" not in st.session_state:
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st.session_state.sessionMessages = [
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SystemMessage(content="You are a sarcastic assistant")
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]
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def load_answer(question):
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st.session_state.sessionMessages.append(HumanMessage(content=question))
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assistant_answer = chat(st.session_state.sessionMessages)
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st.session_state.sessionMessages.append(AIMessage(content=assistant_answer.content))
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return assistant_answer.content
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def get_text():
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input_text = st.text_input("Ask a question: ", key=input)
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return input_text
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chat = ChatOpenAI(temperature=0.6)
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user_input = get_text()
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submit = st.button('Generate')
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if submit:
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response = load_answer(user_input)
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st.header('Answer: ')
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st.write(response, key=1)
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requirements.txt
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streamlit
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langchain
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openai
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streamlit-chat
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python-dotenv
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