import whisper
from pytube import YouTube
from langchain.chat_models import ChatOpenai
import os

key = st.text_input("Provide Openai API Key to Chat")
@st.cache_resource
  def get_whisper():
    model = whisper.load_model("base")
    return model

def get_audio(url):
  yt = YouTube(url)
  video = yt.streams.filter(only_audio=True).first()
  out_file=video.download(output_path=".")
  base, ext = os.path.splitext(out_file)
  new_file = base+'.mp3'
  os.rename(out_file, new_file)
  a = new_file
  return a

def get_text(url):
  model = get_whisper()
  result = model.transcribe(get_audio(url))
  return result['text']

def get_youtube_title(y_url):
  yt = Youtube(y_url)
  embed_url = f"https://wwww.youtube.com/embed/{yt.video_id}"
  emded_html = f'<iframe src>"{embed_url}" frameborder="0" allowfullscreen></iframe>'
  return yt.title, emded_html

y_url = st.sidebar.text_input("Enter youtube url")
if st.sidebar.button('Get Youtube Content'):
  if st.spinner('Loading...'):
    video_title, embed_html = get_video_title(y_url)
    st.markdown(f'## {video_title}')
    st.markdown(embed_html, unsafe_allow_html=True)
    content = get_text(y_url)
    st.session_state.content = content

template = """You are Adance AI that respond on given instruction based on available content
content: {content}
instruction: {prompt}
"""

if 'content' in st.session_state:
    template = template.format(content = st.session_state.content, prompt = '{prompt}')
else:
    template = template.format(content = '', prompt = '{prompt}')

if prompt := st.chat_input():
    if not key:
        st.markdown('Provide key to chat')
        st.stop()
    st.session_state.messages.append({'role': 'user', 'content': prompt})
    st.chat_message('user').write(prompt)
    llm = ChatOpenAI(model_name = 'gpt-3.5-turbo', openai_api_key = key)
    msg = llm.predict(template.format(prompt = prompt))
    st.session_state.messages.append({'role': 'assistant', 'content': msg})
    st.chat_message('assistant').write(msg)