Spaces:
Sleeping
Sleeping
File size: 4,434 Bytes
516d7d3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 |
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("<a href='scanspectrum://open' target='_blank'><button style='height: 50px; width: 300px; font-size: 20px;'>Open ScanSpectrum App</button></a>", 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() |