import json
import requests
import gradio as gr
import pandas as pd
import os
import openai

openai.api_key = os.environ.get('GPT_3_Token')

def openai_query(
    recipient:str = "Employer",
    len:int = 400,
    recipient_name:str = "John Doe",
    context:str = "",
    input:str = "",
    random_state:float = 0.85
    ) -> str:
    
    return openai.Completion.create(
        engine='text-davinci-002',
        prompt="Write a professional email to my " + recipient.lower() + " starting with Hello " + recipient_name + ", about the subject " + context + " and the email should be based on this draft: " + input,
        temperature = random_state,
        max_tokens= len,
        frequency_penalty=0.25,
        presence_penalty=0.75,
        best_of=1
    ).get("choices")[0]['text'].strip()

def query(payload, API_URL):
    response = requests.request("POST", API_URL, json=payload)
    return response.json()

def pre_query(recipient, recipient_name, sender, context, dates, input, model_id):
  API_URL = "https://api-inference.huggingface.co/models/" + model_id
  
  if model_id == "EleutherAI/gpt-neo-1.3B":
    input_string = "Write a professional email to my " + recipient.lower() + " starting with Hello " + recipient_name + ", about the subject " + context + " and the email should be based on this draft: " + input
    data = query({
        "inputs":input_string,
        "parameters":{
                      "wait_for_model": True}
     }, API_URL)
    #if type(data) is dict:
    #  return data['error']
    #else:
    return data[0]['generated_text']
  
  if model_id == "bigscience/bloom":
    input_string = "Write a professional email to my " + recipient.lower() + " starting with Hello " + recipient_name + ", about the subject " + context + " and the email should be based on this draft: " + input + ": Hello " + recipient_name + ",\n\n"
    data = query({
        "inputs":input_string,
        "parameters":{"max_new_tokens":96,
                      "return_full_text": False,
                      "wait_for_model": True}
     }, API_URL)
    #if type(data) is dict:
    #  return data['error']
    #else:
    return "Hello " + recipient_name + ",\n\n" + data[0]['generated_text'].replace(input_string,'')
  
  if model_id == "GPT-3":
    return openai_query(recipient, 250, recipient_name, context, input)

  return

demo = gr.Blocks()

with demo:
    gr.Markdown(
      """
      # <center> Email Assistant 
      Please fill out the fields below!
      """)
    with gr.Row():
      with gr.Column():
        with gr.Group():
          with gr.Row():

            sender = gr.Dropdown(["student", "professor", "employee", "employer", "coworker", "applicant", "recruiter"], label="I am a...")
            recipient = gr.Dropdown(["student", "professor", "employee", "employer", "coworker", "applicant", "recruiter"], label="I am writing to my...")
            recipient_name = gr.Textbox(label="Recipient Name", placeholder = "Their name is...")
    
          
    subject = gr.Dropdown([ "Requesting a meeting", "Reporting conflict with scheduled meeting time", "Requesting clarification", "Requesting to leave early", "Requesting a leave of absence", "Requesting a letter of recommendation", "Requesting a referral for a job application"], label= "In this email, I am...")
    dates = gr.Textbox(label="Relevant Dates", placeholder ="MM/DD/YYYY")
    email = gr.Textbox(label="Input", lines=10, placeholder="Enter your Message Here!")
    model_id = gr.Dropdown(["GPT-3", "EleutherAI/gpt-neo-1.3B", "bigscience/bloom"] ,label = "Choose a model")
    
    submit_button = gr.Button("Generate my email!")
    text_output = gr.Textbox(lines=10, label = "Email", placeholder = "Your generated email!", interactive = True)

    input_list = [sender, recipient, recipient_name, subject, dates, email, model_id]

    submit_button.click(pre_query, inputs = input_list, outputs=text_output)

demo.launch(debug=True)