import requests
import streamlit as st
import time 
from transformers import pipeline
import os
from .utils import query

HF_AUTH_TOKEN = os.getenv('HF_AUTH_TOKEN')
headers = {"Authorization": f"Bearer {HF_AUTH_TOKEN}"}

def write():

	#st.set_page_config(page_title="Text Summarization", page_icon="📈")

	st.markdown("# Text Summarization")
	st.sidebar.header("Text Summarization")
	st.write(
		"""Here, you can summarize your text using the fine-tuned TURNA summarization models. """
	)

	# Sidebar

	# Taken from https://huggingface.co/spaces/flax-community/spanish-gpt2/blob/main/app.py
	st.sidebar.subheader("Configurable parameters")

	model_name = st.sidebar.selectbox(
		"Model Selector",
		options=[
			"turna_summarization_tr_news",
			"turna_summarization_mlsum"
		],
		index=0,
	)
	max_new_tokens = st.sidebar.number_input(
		"Maximum length",
		min_value=0,
		max_value=128,
		value=128,
		help="The maximum length of the sequence to be generated.",
	)
	length_penalty = st.sidebar.number_input(
		"Length penalty",
		value=2.0,
		help=" length_penalty > 0.0 promotes longer sequences, while length_penalty < 0.0 encourages shorter sequences. ",
	)
	"""do_sample = st.sidebar.selectbox(
		"Sampling?",
		(True, False),
		help="Whether or not to use sampling; use greedy decoding otherwise.",
	)
	num_beams = st.sidebar.number_input(
		"Number of beams",
		min_value=1,
		max_value=10,
		value=3,
		help="The number of beams to use for beam search.",
	)
	repetition_penalty = st.sidebar.number_input(
		"Repetition Penalty",
		min_value=0.0,
		value=3.0,
		step=0.1,
		help="The parameter for repetition penalty. 1.0 means no penalty",
	)"""
	no_repeat_ngram_size = st.sidebar.number_input(
		"No Repeat N-Gram Size",
		min_value=0,
		value=3,
		help="If set to int > 0, all ngrams of that size can only occur once.",
	)

	input_text = st.text_area(label='Enter a text: ', height=200, 
			value="Kalp krizi geçirenlerin yaklaşık üçte birinin kısa bir süre önce grip atlattığı düşünülüyor. Peki grip virüsü ne yapıyor da kalp krizine yol açıyor? Karpuz şöyle açıkladı: Grip virüsü kanın yapışkanlığını veya pıhtılaşmasını artırıyor.")
	url = ("https://api-inference.huggingface.co/models/boun-tabi-LMG/" + model_name.lower())
	params = {"length_penalty": length_penalty, "no_repeat_ngram_size": no_repeat_ngram_size, "max_new_tokens": max_new_tokens, "decoder_start_token_id": 0, "eos_token_id": 1, "pad_token_id": 0 }
	if st.button("Generate"):
		with st.spinner('Generating...'):
			output = query(input_text, url, params)
			st.success(output)