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Update app.py

f98fda7 verified about 2 years ago

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import gradio as gr
import pandas as pd
import os
import logging

# Set up logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')

# Ensure the "files" directory exists
FILES_DIR = "files"
os.makedirs(FILES_DIR, exist_ok=True)

# Path to CSV file in the "files" directory of your project
CSV_FILE = os.path.join(FILES_DIR, "patients.csv")

# Initialize the CSV file if it does not exist
if not os.path.exists(CSV_FILE):
    df = pd.DataFrame(columns=["Patient ID", "Patient Name", "Age", "Phone Number"])
    try:
        df.to_csv(CSV_FILE, index=False)
        logging.info(f"Created new CSV file at {CSV_FILE}")
    except Exception as e:
        logging.error(f"Failed to create CSV file: {e}")

# Function to handle registration
def register_patient(name, age, phone):
    try:
        logging.info(f"Starting registration for {name}, Age: {age}, Phone: {phone}")
        
        # Load existing data
        df = pd.read_csv(CSV_FILE)
        logging.debug(f"Loaded existing data: {df}")
        
        # Generate new patient ID
        new_id = len(df) + 1
        
        # Append new patient data
        new_data = pd.DataFrame({
            "Patient ID": [new_id],
            "Patient Name": [name],
            "Age": [age],
            "Phone Number": [phone]
        })
        logging.info(f"New patient data: {new_data}")

        df = pd.concat([df, new_data], ignore_index=True)
        logging.debug(f"Updated DataFrame: {df}")
        
        # Save updated data
        df.to_csv(CSV_FILE, index=False)
        logging.info(f"Data saved to CSV file successfully at {CSV_FILE}.")
        
        return f"Patient {name} with ID {new_id} registered successfully!", CSV_FILE
    except Exception as e:
        logging.error(f"An error occurred while registering patient: {e}")
        return f"An error occurred: {e}", None

# Define Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("## Patient Registration")
    with gr.Row():
        patient_name = gr.Textbox(label="Patient Name", placeholder="Enter patient name")
        age = gr.Number(label="Age", precision=0)
        phone_number = gr.Textbox(label="Phone Number", placeholder="Enter phone number")
    register_button = gr.Button("Register")
    status = gr.Textbox(label="Status", interactive=False)
    download_button = gr.File(label="Download CSV")

    def update_status_and_file(*inputs):
        message, file_path = register_patient(*inputs)
        return message, file_path

    register_button.click(fn=update_status_and_file, inputs=[patient_name, age, phone_number], outputs=[status, download_button])

# Launch the app
if __name__ == "__main__":
    demo.launch()

	import gradio as gr
	import pandas as pd
	import os
	import logging

	# Set up logging
	logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')

	# Ensure the "files" directory exists
	FILES_DIR = "files"
	os.makedirs(FILES_DIR, exist_ok=True)

	# Path to CSV file in the "files" directory of your project
	CSV_FILE = os.path.join(FILES_DIR, "patients.csv")

	# Initialize the CSV file if it does not exist
	if not os.path.exists(CSV_FILE):
	df = pd.DataFrame(columns=["Patient ID", "Patient Name", "Age", "Phone Number"])
	try:
	df.to_csv(CSV_FILE, index=False)
	logging.info(f"Created new CSV file at {CSV_FILE}")
	except Exception as e:
	logging.error(f"Failed to create CSV file: {e}")

	# Function to handle registration
	def register_patient(name, age, phone):
	try:
	logging.info(f"Starting registration for {name}, Age: {age}, Phone: {phone}")

	# Load existing data
	df = pd.read_csv(CSV_FILE)
	logging.debug(f"Loaded existing data: {df}")

	# Generate new patient ID
	new_id = len(df) + 1

	# Append new patient data
	new_data = pd.DataFrame({
	"Patient ID": [new_id],
	"Patient Name": [name],
	"Age": [age],
	"Phone Number": [phone]
	})
	logging.info(f"New patient data: {new_data}")

	df = pd.concat([df, new_data], ignore_index=True)
	logging.debug(f"Updated DataFrame: {df}")

	# Save updated data
	df.to_csv(CSV_FILE, index=False)
	logging.info(f"Data saved to CSV file successfully at {CSV_FILE}.")

	return f"Patient {name} with ID {new_id} registered successfully!", CSV_FILE
	except Exception as e:
	logging.error(f"An error occurred while registering patient: {e}")
	return f"An error occurred: {e}", None

	# Define Gradio interface
	with gr.Blocks() as demo:
	gr.Markdown("## Patient Registration")
	with gr.Row():
	patient_name = gr.Textbox(label="Patient Name", placeholder="Enter patient name")
	age = gr.Number(label="Age", precision=0)
	phone_number = gr.Textbox(label="Phone Number", placeholder="Enter phone number")
	register_button = gr.Button("Register")
	status = gr.Textbox(label="Status", interactive=False)
	download_button = gr.File(label="Download CSV")

	def update_status_and_file(*inputs):
	message, file_path = register_patient(*inputs)
	return message, file_path

	register_button.click(fn=update_status_and_file, inputs=[patient_name, age, phone_number], outputs=[status, download_button])

	# Launch the app
	if __name__ == "__main__":
	demo.launch()