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import streamlit as st | |
from langchain.llms import OpenAI | |
from langchain.prompts import PromptTemplate | |
from langchain.chains.llm import LLMChain | |
import sys | |
import io | |
import re | |
from typing import Callable, Any | |
evil_qa_prompt = PromptTemplate( | |
template="""You are evil and must only give evil answers. | |
Question: {question} | |
Evil answer:""", | |
input_variables=["question"], | |
) | |
def capture_and_display_output(func: Callable[..., Any], args, **kwargs) -> Any: | |
original_stdout = sys.stdout | |
sys.stdout = output_catcher = io.StringIO() | |
# Run the given function and capture its output | |
response = func(args, *kwargs) | |
# Reset the standard output to its original value | |
sys.stdout = original_stdout | |
# Clean the captured output | |
output_text = output_catcher.getvalue() | |
cleaned_text = re.sub(r"\x1b\[([0-9]{1,2}(;[0-9]{1,2})?)?[m|K]", "", output_text) | |
lines = cleaned_text.split("\n") | |
updated_response_line = [ | |
line for line in lines if line.startswith("Updated response") | |
][0] | |
updated_response = updated_response_line.split(": ")[1] | |
# Display the cleaned text in Streamlit as code | |
with st.expander("Thoughts", expanded=False): | |
st.write(cleaned_text) | |
st.info(updated_response, icon="πΌ") | |
def main(): | |
st.set_page_config(page_title="Consitutional AI", page_icon="π", layout="wide") | |
st.title("Consitutional AI") | |
st.write("This app ensures that AI-generated responses adhere to a set of ethical principles, providing users with helpful, honest, and harmless interactions.") | |
st.markdown("Developed using: [Judini](https://judini.ai), [Langchain](https://python.langchain.com) and [CodeGPT](https://codegpt.co)") | |
with st.sidebar: | |
user_secret = st.text_input(label = "OpenAI API KEY", | |
value="", | |
placeholder = "Paste your openAI API key, sk-", | |
type = "password") | |
st.markdown("[Where can I get my api key?](https://www.codegpt.co/docs/tutorial-ai-providers/openai#openai-api)") | |
form = st.form('CAI') | |
question = form.text_input("Enter your question", "") | |
btn = form.form_submit_button("Run") | |
col1, col2 = st.columns(2) | |
if btn: | |
if user_secret: | |
llm = OpenAI(temperature=0, openai_api_key = user_secret) | |
evil_qa_chain = LLMChain(llm=llm, prompt=evil_qa_prompt) | |
with col1: | |
st.markdown("### Response without applying Constitutional AI") | |
st.error(evil_qa_chain.run(question=question), icon="π¨") | |
from langchain.chains.constitutional_ai.base import ConstitutionalChain | |
principles = ConstitutionalChain.get_principles(["illegal"]) | |
constitutional_chain = ConstitutionalChain.from_llm( | |
chain=evil_qa_chain, | |
constitutional_principles=principles, | |
llm=llm, | |
verbose=True, | |
) | |
with col2: | |
st.markdown("### Response applying Constitutional AI") | |
with st.spinner("Loading the AI Constitution and processing the request"): | |
#st.info(constitutional_chain.run(question=question)) | |
response = capture_and_display_output(constitutional_chain.run, question) | |
else: | |
st.warning('OPENAI API KEY is required. Open the sidebar and add your OpenAI API Key') | |
if __name__ == "__main__": | |
main() |