# Streamlit imports and setup
import streamlit as st

# OpenAI API setup
import openai
openai.api_key = "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"

def resolve_error(error_code, error_message):
    # Combine the user inputs and formulate a prompt for the ChatGPT API
    prompt = f"Given the error code:\n```{error_code}```\nand the error message:\n```{error_message}```\nPlease provide a resolution as you would do to a 15 year old along with a detailed review of what went wrong.\n"

    # Get the response from the ChatGPT API
    response = openai.Completion.create(
        engine="text-davinci-002",
        prompt=prompt,
        max_tokens=500,  # Adjust as needed based on the desired response length
        stop=None,  # Add stop sequences if needed
    )

    return response.choices[0].text

# Streamlit app code
def main():
    st.title("Code Error Resolution by FULL STACK ACADEMY")
    st.write("Enter the error code and error message below:")

    error_code = st.text_area("Error Code")
    error_message = st.text_area("Error Message")

    if st.button("Resolve"):
        if error_code and error_message:
            resolution = resolve_error(error_code, error_message)
            st.subheader("Resolution:")
            st.code(resolution, language="python")
        else:
            st.warning("Please enter both the error code and the error message.")

if __name__ == "__main__":
    main()