Digital_Ink / app.py
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Create app.py
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import streamlit as st
from transformers import pipeline
# configuring streamlit page settings
st.set_page_config(
page_title='Digital Ink',
layout = 'centered'
)
generation_args = {
"max_new_tokens": 1000,
"return_full_text": False,
"num_beams": 5,
"do_sample": True,
"top_k": 60,
}
# Initialize the model pipeline
chat_pipeline = pipeline("text-generation", model="microsoft/Phi-3-mini-128k-instruct")
# Define system content
SYSTEM_CONTENT = "You are a helpful assistant named Digital Ink. Your purpose is to provide creative engaging and effective marketing content.You can introduce your self as follows: I'm Digital Ink, a marketing content generation model. I'm designed to assist you in creating engaging and effective marketing content, such as blog posts, social media posts, and product descriptions"
# Streamlit app
st.title("Digital Ink")
# Initialize the chat history
if 'messages' not in st.session_state:
st.session_state.messages = [{"role": "system", "content": SYSTEM_CONTENT}]
# User input
user_input = st.chat_input("Ask Digital Ink..")
if user_input:
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": user_input})
# Generate response from chatbot
context = [msg['content'] for msg in st.session_state.messages]
response = chat_pipeline(context, **generation_args)[0]['generated_text']
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": response})
# Redisplay chat history
st.experimental_rerun()