mpi_data_store / pages /processing_embedding.py
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import streamlit as st
import time # Used to simulate processing time
def main():
st.title("Processing and Embedding")
# Introduction
st.write("Process the selected data using the configured models and save the results.")
# Start Processing Button
if st.button("Start Processing"):
with st.spinner("Processing..."):
# Simulate processing time
time.sleep(5) # Simulate processing time. Replace with actual processing logic.
# Update session state or variables to indicate processing is complete
st.session_state['processing_complete'] = True
st.success("Processing completed successfully!")
# Show progress only if processing has started or completed
if 'processing_complete' in st.session_state and st.session_state['processing_complete']:
st.progress(100)
st.write("Data has been processed and embedded successfully.")
else:
st.progress(0)
# Parameter Tuning Section (Placeholder)
st.header("Parameter Tuning")
st.write("Adjust processing parameters if necessary. (This section is a placeholder.)")
# Saving Options
st.header("Save Results")
if st.checkbox("Save Preprocessed Pages"):
# Placeholder for saving logic
st.write("Preprocessed pages will be saved.")
if st.checkbox("Save Processed Pages"):
# Placeholder for saving logic
st.write("Processed pages will be saved.")
if st.checkbox("Save Vectors Store Data"):
# Placeholder for saving logic
st.write("Vectors store data will be saved.")
# Optional: Provide navigation to next steps or back to configuration
col1, col2 = st.columns(2)
with col1:
if st.button("Back to Model Selection"):
st.session_state.page = 'model_selection'
with col2:
if st.button("Complete and Exit"):
st.session_state.page = 'main_page' # Assuming you want to navigate back to the main page
if __name__ == "__main__":
main()