app.py

import streamlit as st
from transformers import AutoTokenizer, AutoModelForSequenceClassification
from home import render_home
from scipy.special import softmax

# Load the TinyBERT model and tokenizer
model_path = "petermutwiri/Tiny_Bert_Cupstone"
model = AutoModelForSequenceClassification.from_pretrained(model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path)

# Create a sidebar for navigation and review examples
st.sidebar.title("Navigation and review examples")

# Use the selected page function to display the content
page = st.sidebar.radio("Go to", ["Home"])

if page == "Home":
    render_home(model, tokenizer)

# An example for a positive movie review
st.sidebar.markdown("👍 **Positive Review Example:**")
st.sidebar.markdown("> I absolutely loved this movie! It was so thrilling and captivating. The acting was superb, and the plot was fantastic.")

# An example for a negative movie review
st.sidebar.markdown("👎 **Negative Review Example:**")
st.sidebar.markdown("> This movie was a complete disappointment. The story was boring, and the acting was terrible. I wouldn't recommend it to anyone.")