Refactored Streamlit app for Hugging Face deployment - Replaced matplotlib with plotly for an enhanced, interactive graph. - Separated core functionalities into separate modules for cleaner code and easier maintenance. - Simplified the Streamlit app code, focusing on user input and real-time graph generation.
6abca00
verified
| import streamlit as st | |
| import plotly.graph_objs as go | |
| from transform_word import transform_word | |
| st.title("Transformer Contextual Text Generator with Real-Time Graph") | |
| # Input from user | |
| word = st.text_input("Enter a word or phrase") | |
| if word: | |
| significant_numbers = transform_word(word) | |
| # Plotting | |
| fig = go.Figure(data=go.Scatter(y=significant_numbers, mode='lines+markers')) | |
| fig.update_layout(title='Real-Time Graph', | |
| xaxis_title='Character Index', | |
| yaxis_title='Significant Number') | |
| st.plotly_chart(fig) | |