Spaces:
Sleeping
Sleeping
File size: 2,924 Bytes
a8dbf83 054592e 3a81b83 054592e a44ffa4 054592e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
# Temporary fix for pydantic issue @see https://github.com/streamlit/streamlit/issues/3218
import pydantic
pydantic.class_validators._FUNCS.clear()
import streamlit as st
from streamlit_elements import elements, media
from chatbot import YouTubeChatbot
import sidebar
from langchain.memory import ConversationBufferWindowMemory
from streamlit_chat import message
def index():
def put_media_player():
with elements("media_player"):
video_url = st.session_state.get('video_url')
media.Player(url=video_url, controls=True)
def clear_submit():
st.session_state["submit"] = False
st.set_page_config(page_title="YoutuberGPT", page_icon="🤖", layout="wide")
st.header("🤖YoutuberGPT")
sidebar.sidebar()
if 'responses' not in st.session_state:
st.session_state['responses'] = ["Ask any question related to the video"]
if 'requests' not in st.session_state:
st.session_state['requests'] = []
if 'buffer_memory' not in st.session_state:
st.session_state.buffer_memory=ConversationBufferWindowMemory(k=3,return_messages=True)
if 'video_url' not in st.session_state:
st.session_state['video_url']= []
videocontainer = st.container()
# container for chat history
response_container = st.container()
# container for text box
textcontainer = st.container()
with videocontainer:
video_url = st.text_input("YouTube Video Url:", on_change=clear_submit)
st.session_state['video_url'] = video_url
if video_url:
put_media_player()
with textcontainer:
question = st.text_area("Question:", key="question")
if st.button("Run") or st.session_state.get("submit"):
try:
with st.spinner('preparing answer'):
chatbot = YouTubeChatbot()
db = chatbot.create_db_from_youtube_video_url(video_url)
if db is None:
return st.error("There is no transcript")
response = chatbot.get_response_from_query(db, question)
if response is None:
return st.error("There is no answer or something went wrong")
else:
st.session_state.requests.append(question)
st.session_state.responses.append(response)
st.session_state["submit"] = True
except:
return st.error("There is no answer or something went wrong")
with response_container:
if st.session_state['responses']:
for i in range(len(st.session_state['responses'])):
message(st.session_state['responses'][i],key=str(i))
if i < len(st.session_state['requests']):
message(st.session_state["requests"][i], is_user=True,key=str(i)+ '_user')
index() |