from langchain import OpenAI, LLMChain
from langchain.agents import initialize_agent, Tool, ZeroShotAgent, AgentExecutor
from langchain.prompts import PromptTemplate
from langchain.prompts.few_shot import FewShotPromptTemplate
import requests
import random
import openai
import re
import gradio as gr
import os 
"""# Space Implementation"""

clerkieExamples=["how do I use langchain?", "How do I create an agent with custom LLMChain?"]

def chat(message, history):
    print(message)
    history = history or []
    endpoint = os.environ.get("langchain_bot_api_endpoint")
    response = requests.get(endpoint + message).json()["response"]["output"]
    # split on code
    split_string = response.split("Code")
    explanation = split_string[0]
    history.append((message, explanation))
    code_and_possible_links = "Code " + split_string[1]

    if "Here is a list of documents that I viewed" in code_and_possible_links:
      split_string = code_and_possible_links.split("Here")
      code_sample = split_string[0]
      history.append(("", code_sample))
      relevant_links = "Here " + split_string[1]
      history.append(("", relevant_links))
    else:
      history.append(("", code_and_possible_links))
    return history, history


def set_text(inp):
  return inp

def clear(arg): 
  return "" 

with gr.Blocks() as demo:
    user_state=gr.State([])
    gr.Markdown("""# Hi, I'm Clerkie 🤖""")
    gr.Markdown("""I can help you get started / answer any question you have about the [Langchain: Build AI apps with LLMs](https://github.com/hwchase17/langchain). If I fail to answer your question, please email me @ clerkieai@gmail.com, and I will make sure you get an answer within an hour.""")
    gr.Markdown("""### Want some help handling support questions for your open source project/devtool/etc.? Let me know 👉 [clerkie.co](https://clerkie.co/)""")
    with gr.Row():
      with gr.Column():
        output = gr.Chatbot().style(color_map=("orange", "green"))
        inp = gr.Textbox(placeholder="Enter your question here")
        print(type(inp))
        btn = gr.Button("Send")

        inp.submit(chat, [inp, user_state], [output, user_state])
        inp.submit(clear, inp, inp)
        btn.click(chat, [inp, user_state], [output, user_state])
        btn.click(clear, inp, inp)
    gr.Markdown("""### need help? got feedback? have thoughts? etc. ➜ Join the [Discord](https://discord.gg/KvG3azf39U)""")
    gr.Examples(clerkieExamples,
        inputs=inp,
        cache_examples=False,
    )
if __name__ == "__main__":
    demo.launch(debug=True)