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Create app.py
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app.py
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import streamlit
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import streamlit as st
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from langchain.llms import OpenAI
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from langchain.prompts import PromptTemplate
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from langchain.chains import LLMChain
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LLM_GPT35 = 'GPT3.5'
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LLM_GPT4 = 'GPT4'
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st.title("Project Sydney")
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openai_api_key = None
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with st.sidebar:
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openai_api_key_sb = st.text_input("OpenAI API Key", type="password")
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"[Get an OpenAI API key](https://platform.openai.com/account/api-keys)"
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def get_openai_api_key():
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if openai_api_key_sb == None or len(openai_api_key_sb)==0:
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openai_api_key = str(open('../oaik','r').readline())
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else:
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openai_api_key = openai_api_key_sb
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return openai_api_key
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def generate_response(input_text, llm_ver, temperature):
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template = """Question: {question}
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Answer: """
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prompt = PromptTemplate(
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template=template,
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input_variables=['question']
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)
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if llm_ver==LLM_GPT35:
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llm = OpenAI(temperature=temperature, openai_api_key=get_openai_api_key())
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elif llm_ver==LLM_GPT4:
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from langchain_openai import ChatOpenAI
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llm = ChatOpenAI(model_name='gpt-4', openai_api_key=get_openai_api_key())
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llm_chain = LLMChain(
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prompt=prompt,
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llm=llm
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)
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response = llm_chain.run(input_text)
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st.info(response)
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with st.form("my_form"):
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text = st.text_area("Enter text:", "What is the primary role of the C. elegans neuron ADAL?")
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llm_ver = st.selectbox('Which LLM version?', (LLM_GPT35, LLM_GPT4))
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temperature = st.text_input("Temperature", value=0.1)
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submitted = st.form_submit_button("Submit")
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if not get_openai_api_key():
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st.info("Please add your OpenAI API key to continue.")
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elif submitted:
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generate_response(text, llm_ver, temperature)
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