import streamlit as st
import numpy as np
import pandas as pd
import os
from run_eval import run_generate

default_value = "summarize: Nick: Opinions required! Gas ya induction hob? Ben: Bahut time se ek induction hob use kar raha huu, mai convinced nahi huu.. Ruth: induction- bahut sleek hai jadi garam ho jaata hai! Ben: but voh constant temperature maintain nahi karta! Kya saare induction aise hee hai yaa maine purana waala liya tha? Ruth: they pulse agar proper pans nahi use karte hum Ben: proper se tumhara kya matlab? Kya tumhara matlab better aur bhari? Ruth: yeah, simply suitable Ben: and mujhe lagta hai mujhe usse chalana seekhna padega.. Ruth: yeah, yeh gas se alag hai Christian: gas, bina kisi saval ke- aur koi cheez tumhe control nahi deti! Nick: Mai usme interested huu jisme mujhe mere hissab se consistent heat mile Mary: with induction tumhe usse shuru aur band karna padega to regulate temperature..  Kate: induction- yes, gas- no kyuki paani ubalne mein sadiyaan lag jaati hai! Tim: tum jaante ho naa tum ek electric kettle use kar sakte ho? Kate: haha! Yeh funny nahi hai! Kate: yeh saaf karne mein bhi aasan hai. Harry: mai induction lunga kyuki voh khaana banane ke baad bhi usse garam rakhta hai Tom: Induction! 100% Susan: humara induction bahut ganda tha I think it ™s common! Emma: induction ke liye ek aur vote!  Ruth: All chefs seem to say gas! Tom: mai gas se zyaada induction hobs bechta huu! yeh popular hota jaa raha hai aur mai dekh ssakta huu kyu! Emma: humne humara waala John Lewis outlet se liya so it was ex display aur isliye bahut sasta tha! Nick: tumhari raaye ke liye thanks! Great talk! Mujhe lagta hai mai Induction lunga."

st.write("# GupShup")
st.write("## Summarizing Open-Domain Code-Switched Conversations - [https://github.com/midas-research/gupshup](https://github.com/midas-research/gupshup)")
task_type = st.sidebar.selectbox(
    "Task type", ["Hinglish to English", "English to English"]
)
model_name = st.sidebar.selectbox(
    "Model", ["mBart", "Pegasus", "Bart", "T5"]
)

src_form = st.sidebar.form(key="src_form")
src_ip = src_form.text_input(label="Please enter path to conversastion/source file")
tar_ip = src_form.text_input(
    label="Please enter path to summary/target file. [optional]"
)
src_submit_button = src_form.form_submit_button(label="Submit")
st.sidebar.markdown("<h1 style='text-align: center;'>OR</h1>", unsafe_allow_html=True)


conv_form = st.sidebar.form(key="conv_form")
conv_ip = conv_form.text_input(label="Please enter the conversastion", value=default_value)
conv_submit_button = conv_form.form_submit_button(label="Submit")
st.write("### Task Type:", task_type)
st.write("### Model:", model_name)
x = "fg"

src_file = None
tar_file = None
gen_file = "generated_summary.txt"
score_file = None


if conv_submit_button:
    if conv_ip == "":
        st.write("Pls enter non empty conversastion")

    else:
        st.write("### Summarizing below Conversastion")
        st.write(conv_ip)
        src_file = "conversastion.txt"
        src_fp = open(src_file, "w")
        src_fp.write(conv_ip)
        src_fp.close()
        # st.write( "### Summary")


if src_submit_button:
    if src_ip == "":
        st.write("### Please enter path to conversastion file")
    elif os.path.isfile(src_ip) == False:
        st.write("### Path to conversastion file is invalid")

    else:
        src_file = src_ip
        st.write("summarizing conversastion stored in ", src_file)
        if tar_ip != "" and os.path.isfile(tar_ip):
            tar_file = tar_ip

            score_file = "scores.txt"
        else:
            st.write(
                "Target file is not provided or invalid, score will not be calculated"
            )

    # src and tar file chaeck
    st.write(" src and tar")
    st.write(src_ip)
    st.write(tar_ip)

tt = "h2e"
if task_type == "English to English":
    tt = "e2e"
elif task_type == "Hinglish to English":
    tt = "h2e"
model_name_path = "midas/gupshup_" + str(tt) + "_" + str(model_name).lower()

if src_file == None or os.path.isfile(src_file) == False:
    st.write("##### Hit the submit button on the left with the default conversation or enter your own conversation if you don't have the source files.")
else:

    result = run_generate(
        verbose=True,
        model_name_path=model_name_path,
        src_txt=src_file,
        tar_txt=tar_file,
        gen_path=gen_file,
        scor_path=score_file,
        batch_size=8,
    )

    if conv_submit_button:
        st.write("summary:")
        fp = open(gen_file, "r")
        summary = fp.readlines()
        fp.close()
        st.write(summary)

    if src_submit_button and result!=None:
        if tar_file != None:
            st.write("scores: ", result)

        st.write("summary is stored in ", gen_file)


# st.write(x)