import streamlit as st import pandas as pd from datetime import datetime # Function to check user credentials def check_credentials(username, password): return username == "Josia" and password == "admin" # Function to save data to CSV def save_data(form_data, username): # Convert to DataFrame and append to CSV df = pd.DataFrame([form_data]) csv_path = f'collected_data_{username}.csv' df.to_csv(csv_path, mode='a', header=not pd.io.common.file_exists(csv_path), index=False) # Main App def main(): # Page configuration st.set_page_config(page_title="Frijoles", layout="wide") # Sidebar for login st.sidebar.title("Common Bean Data Collection App") st.sidebar.header("Please Log In") username = st.sidebar.text_input("Username") password = st.sidebar.text_input("Password", type="password") if st.sidebar.button("Login"): if check_credentials(username, password): st.session_state['authenticated'] = True else: st.session_state['authenticated'] = False st.sidebar.error("The username or password you entered is incorrect.") if 'authenticated' not in st.session_state: st.session_state['authenticated'] = False # Main Page if st.session_state['authenticated']: st.title('Welcome to Common Bean Data Collection App') # Display info links col1, col2 = st.columns(2) with col1: if st.button('Learn More About Beans'): # Display info about beans or include a link to more information st.write("Information about beans will be displayed here or linked.") with col2: if st.button('Learn More About Breeding'): # Display info about breeding or include a link to more information st.write("Information about breeding will be displayed here or linked.") st.header("Collect new data") with st.form("new_data_form"): # Fields for the collection form disease_type = st.selectbox("Select disease type", ['ALS', 'CBB']) region = st.selectbox("Select region", ['Selian', 'Uyole', 'Maluku']) genotype = st.selectbox("Select genotype", ['Genotype A', 'Genotype B']) growth_level = st.selectbox("Select plant growth level", ['First Trifoliate', 'Second Trifoliate']) plant_number = st.selectbox("Select plant number", list(range(1, 11))) leaf_number = st.selectbox("Select leaf number", list(range(1, 11))) scan_number = st.selectbox("Select scan number", list(range(1, 11))) visual_score = st.slider("Visual Score", 1, 9, 1) # Submit button for form submit_data = st.form_submit_button(label='Submit Data') if submit_data: form_data = { "Disease Type": disease_type, "Region": region, "Genotype": genotype, "Growth Level": growth_level, "Plant Number": plant_number, "Leaf Number": leaf_number, "Scan Number": scan_number, "Visual Score": visual_score, "Username": username, # Include username in the saved data for identification "Date": datetime.now().strftime("%Y-%m-%d"), "Time": datetime.now().strftime("%H:%M:%S"), } # Button to open ScanSpectrum app st.markdown("", unsafe_allow_html=True) st.write("Please complete the scan and upload the results. After scanning, return here and click 'Save Data'.") # Placeholder for storing scan data scanned_data_placeholder = {'wavelength': [680, 500, 450], 'intensity': [0.8, 0.6, 0.4]} scanned_data = pd.DataFrame(scanned_data_placeholder) # This would actually be fetched from the ScanSpectrum app # Save button to finalize data entry if st.button('Save Data'): save_data(form_data, username) st.success("Data saved successfully.") else: st.warning("You need to login to access the data collection form.") # Run the main app if __name__ == "__main__": main()