import os

from openai import OpenAI
import google.generativeai as genai
from anthropic import AI_PROMPT, HUMAN_PROMPT, Anthropic
import streamlit as st
from dotenv import load_dotenv

load_dotenv()

anthropic = Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

st.set_page_config(page_title="strftime AI", page_icon="🕘")

with open("static/style.css") as f:
    st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)

st.header("strftime AI")

with st.sidebar:
    provider = st.radio(
        "Choose AI Provider", options=["Anthropic", "Google Gemini", "OpenAI"]
    )

text = st.text_input("Enter datetime text eg. 2023-09-28T15:27:58Z", value="2023-09-28T15:27:58Z")

if text:
    prompt = (
        "Convert the following datetime string into strftime format, "
        "show the strftime string on top and then breakdown of % symbols: " + text
    )

    if provider == "Anthropic":
        completion = anthropic.completions.create(
            model="claude-2",
            max_tokens_to_sample=300,
            prompt=f"{HUMAN_PROMPT} {prompt}{AI_PROMPT}",
        )
        st.markdown(completion.completion)
    elif provider == "Google Gemini":
        model = genai.GenerativeModel("gemini-pro")
        response = model.generate_content(prompt)
        st.markdown(response.text)
    elif provider == "OpenAI":
        chat_completion = client.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=[{"role": "user", "content": prompt}]
        )
        st.markdown(chat_completion.choices[0].message.content)