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from celebbot import CelebBot
import streamlit as st
from streamlit_mic_recorder import speech_to_text
from utils import *
def main():
hide_footer()
model_list = ["flan-t5-large", "flan-t5-xl", "Falcon-7b-instruct"]
celeb_data = get_celeb_data(f'data.json')
st.sidebar.header("CelebChat")
expander = st.sidebar.expander('About the app')
with expander:
st.markdown("This app is a demo of celebrity chatting!")
if "messages" not in st.session_state:
st.session_state["messages"] = []
if "QA_model_path" not in st.session_state:
st.session_state["QA_model_path"] = "google/flan-t5-base"
if "sentTr_model_path" not in st.session_state:
st.session_state["sentTr_model_path"] = "sentence-transformers/all-mpnet-base-v2"
if "start_chat" not in st.session_state:
st.session_state["start_chat"] = False
if "prompt" not in st.session_state:
st.session_state["prompt"] = None
def start_chat(name, model_id):
print(name, model_id)
if name != '' and model_id != '':
st.session_state["start_chat"] = True
else:
st.session_state["start_chat"] = False
with st.sidebar.form("my_form"):
print("enter form")
st.session_state["celeb_name"] = st.selectbox('Choose a celebrity', options=list(celeb_data.keys()))
model_id=st.selectbox("Choose Your Flan-T5 model",options=model_list)
st.session_state["QA_model_path"] = f"google/{model_id}" if "flan-t5" in model_id else model_id
st.form_submit_button(label="Start Chatting", on_click=start_chat, args=(st.session_state["celeb_name"], st.session_state["QA_model_path"]))
if st.session_state["start_chat"]:
celeb_gender = celeb_data[st.session_state["celeb_name"]]["gender"]
knowledge = celeb_data[st.session_state["celeb_name"]]["knowledge"]
st.session_state["celeb_bot"] = CelebBot(st.session_state["celeb_name"],
get_tokenizer(st.session_state["QA_model_path"]),
get_seq2seq_model(st.session_state["QA_model_path"]) if "flan-t5" in st.session_state["QA_model_path"] else get_causal_model(st.session_state["QA_model_path"]),
get_tokenizer(st.session_state["sentTr_model_path"]),
get_auto_model(st.session_state["sentTr_model_path"]),
*preprocess_text(st.session_state["celeb_name"], celeb_gender, knowledge, "en_core_web_sm")
)
dialogue_container = st.container()
with dialogue_container:
for message in st.session_state["messages"]:
with st.chat_message(message["role"]):
st.markdown(message["content"])
if "_last_audio_id" not in st.session_state:
st.session_state["_last_audio_id"] = 0
with st.sidebar:
prompt_from_audio =speech_to_text(start_prompt="Start Recording",stop_prompt="Stop Recording",language='en',use_container_width=True, just_once=True,key='STT')
prompt_from_text = st.text_input('Or write something')
if prompt_from_audio != None:
st.session_state["prompt"] = prompt_from_audio
elif prompt_from_text != None:
st.session_state["prompt"] = prompt_from_text
print(st.session_state["prompt"])
if st.session_state["prompt"] != None and st.session_state["prompt"] != '':
st.session_state["celeb_bot"].text = st.session_state["prompt"]
# Display user message in chat message container
with dialogue_container:
st.chat_message("user").markdown(st.session_state["prompt"])
# Add user message to chat history
st.session_state["messages"].append({"role": "user", "content": st.session_state["prompt"]})
# Add assistant response to chat history
response = st.session_state["celeb_bot"].question_answer()
# disable autoplay to play in HTML
b64 = st.session_state["celeb_bot"].text_to_speech(autoplay=False)
md = f"""
<p>{response}</p>
<audio controls autoplay style="display:none;">
<source src="data:audio/wav;base64,{b64}" type="audio/wav">
Your browser does not support the audio element.
</audio>
"""
with dialogue_container:
st.chat_message("assistant").markdown(
md,
unsafe_allow_html=True,
)
# Display assistant response in chat message container
st.session_state["messages"].append({"role": "assistant", "content": response})
if __name__ == "__main__":
main()
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