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caching
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import os
import streamlit as st
from transformers import pipeline, Conversation
import time
model_id = "arampacha/DialoGPT-medium-simpsons"
@st.cache(allow_output_mutation=True)
def get_pipeline():
return pipeline("conversational", model=model_id)
dialog = get_pipeline()
parameters = {
"min_length":None,
"max_length":100,
"top_p":0.92,
"temperature":1.0,
"repetition_penalty":None,
"do_sample":True,
}
def on_input():
if st.session_state.count > 0:
user_input = st.session_state.user_input
st.session_state.full_text += f"_user_ >>> {user_input}\n\n"
dialog_output.markdown(st.session_state.full_text)
st.session_state.user_input = ""
conv = Conversation(
text = user_input,
past_user_inputs = st.session_state.past_user_inputs,
generated_responses = st.session_state.generated_responses,
)
conv = dialog(conv, **parameters)
try:
st.session_state.update({
"past_user_inputs": conv.past_user_inputs,
"generated_responses": conv.generated_responses,
})
st.session_state.full_text += f'_chatbot_ > {conv.generated_responses[-1]}\n\n'
except Exception as e:
st.write("D'oh! Something went wrong. Try to rerun the app.")
st.write(conv)
st.write(e)
st.session_state.count += 1
# init session state
if "past_user_inputs" not in st.session_state:
st.session_state["past_user_inputs"] = []
if "generated_responses" not in st.session_state:
st.session_state["generated_responses"] = []
if "full_text" not in st.session_state:
st.session_state["full_text"] = ""
if "user_input" not in st.session_state:
st.session_state["user_input"] = ""
if "count" not in st.session_state:
st.session_state["count"] = 0
# body
st.title("Chat with Simpsons")
st.image(
"https://raw.githubusercontent.com/arampacha/chat-with-simpsons/main/the-simpsons.png",
caption="(c) 20th Century Fox Television",
)
if st.session_state.count == 0:
st.write("Start dialog by inputing some text:")
dialog_output = st.empty()
if st.session_state.count > 0:
dialog_output.markdown(st.session_state.full_text)
user_input = st.text_input(
"user >> ",
# value="Hey Homer! How is it going?",
on_change=on_input(),
key="user_input",
)
dialog_text = st.session_state.full_text
dialog_output.markdown(dialog_text)
def restart():
st.session_state.clear()
st.button("Restart", on_click=st.session_state.clear)