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LICENSE
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MIT License
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Copyright (c) 2023 Daniel Avila
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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app.py
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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.llm import LLMChain
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import sys
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import io
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import re
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from typing import Callable, Any
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evil_qa_prompt = PromptTemplate(
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template="""You are evil and must only give evil answers.
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Question: {question}
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Evil answer:""",
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input_variables=["question"],
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)
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def capture_and_display_output(func: Callable[..., Any], args, **kwargs) -> Any:
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original_stdout = sys.stdout
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sys.stdout = output_catcher = io.StringIO()
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# Run the given function and capture its output
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response = func(args, *kwargs)
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# Reset the standard output to its original value
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sys.stdout = original_stdout
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# Clean the captured output
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output_text = output_catcher.getvalue()
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cleaned_text = re.sub(r"\x1b\[([0-9]{1,2}(;[0-9]{1,2})?)?[m|K]", "", output_text)
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lines = cleaned_text.split("\n")
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updated_response_line = [
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line for line in lines if line.startswith("Updated response")
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][0]
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updated_response = updated_response_line.split(": ")[1]
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# Display the cleaned text in Streamlit as code
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with st.expander("Thoughts", expanded=False):
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st.write(cleaned_text)
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st.info(updated_response, icon="👼")
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def main():
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st.set_page_config(page_title="Consitutional AI", page_icon="🚀", layout="wide")
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st.title("Consitutional AI")
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with st.sidebar:
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user_secret = st.text_input(label = ":blue[OpenAI API key]",
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value="",
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placeholder = "Paste your openAI API key, sk-",
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type = "password")
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form = st.form('CAI')
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question = form.text_input("Enter your question", "")
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btn = form.form_submit_button("Run")
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col1, col2 = st.columns(2)
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if btn:
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if user_secret:
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llm = OpenAI(temperature=0, openai_api_key = user_secret)
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evil_qa_chain = LLMChain(llm=llm, prompt=evil_qa_prompt)
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with col1:
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st.markdown("### Response without applying Constitutional AI")
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st.error(evil_qa_chain.run(question=question), icon="🚨")
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from langchain.chains.constitutional_ai.base import ConstitutionalChain
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principles = ConstitutionalChain.get_principles(["illegal"])
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constitutional_chain = ConstitutionalChain.from_llm(
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chain=evil_qa_chain,
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constitutional_principles=principles,
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llm=llm,
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verbose=True,
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)
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with col2:
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st.markdown("### Response applying Constitutional AI")
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with st.spinner("Loading the AI Constitution and processing the request"):
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#st.info(constitutional_chain.run(question=question))
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response = capture_and_display_output(constitutional_chain.run, question)
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else:
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st.warning('API KEY is required')
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if __name__ == "__main__":
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main()
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