Delete app.py

app.py

@@ -1,179 +0,0 @@
-import os
-import smtplib
-import gradio as gr
-import tensorflow as tf
-import numpy as np
-from tensorflow.keras.preprocessing import image
-from email.mime.multipart import MIMEMultipart
-from email.mime.text import MIMEText
-from email.mime.base import MIMEBase
-from email import encoders
-from PIL import Image
-from reportlab.lib.pagesizes import letter
-from reportlab.pdfgen import canvas
-from reportlab.lib import colors
-from reportlab.platypus import Table, TableStyle
-
-# Load the trained model
-model = tf.keras.models.load_model("my_keras_model.h5")
-
-# Read HTML content from `re.html`
-with open("templates/re.html", "r", encoding="utf-8") as file:
-    html_content = file.read()
-
-# Ensure reports directory exists
-os.makedirs("reports", exist_ok=True)
-
-# List of sample images
-sample_images = [f"samples/{img}" for img in os.listdir("samples") if img.endswith((".png", ".jpg", ".jpeg"))]
-
-# Function to process X-ray and generate a PDF report
-def generate_report(name, age, gender, weight, height, allergies, cause, email, xray):
-    image_size = (224, 224)
-
-    def predict_fracture(xray_path):
-        img = Image.open(xray_path).resize(image_size)
-        img_array = image.img_to_array(img) / 255.0
-        img_array = np.expand_dims(img_array, axis=0)
-        prediction = model.predict(img_array)[0][0]
-        return prediction
-
-    # Predict fracture
-    prediction = predict_fracture(xray)
-    diagnosed_class = "Normal" if prediction > 0.5 else "Fractured"
-
-    # Injury severity classification
-    severity = "Mild" if prediction < 0.3 else "Moderate" if prediction < 0.7 else "Severe"
-
-    # Treatment details table
-    treatment_data = [
-        ["Severity Level", "Recommended Treatment", "Recovery Duration"],
-        ["Mild", "Rest, pain relievers, and follow-up X-ray", "4-6 weeks"],
-        ["Moderate", "Plaster cast, minor surgery if needed", "6-10 weeks"],
-        ["Severe", "Major surgery, metal implants, physiotherapy", "Several months"]
-    ]
-
-    # Estimated cost & duration table
-    cost_duration_data = [
-        ["Hospital Type", "Estimated Cost", "Recovery Time"],
-        ["Government Hospital", f"₹{2000 if severity == 'Mild' else 8000 if severity == 'Moderate' else 20000} - ₹{5000 if severity == 'Mild' else 15000 if severity == 'Moderate' else 50000}", "4-12 weeks"],
-        ["Private Hospital", f"₹{10000 if severity == 'Mild' else 30000 if severity == 'Moderate' else 100000}+", "6 weeks - Several months"]
-    ]
-
-    # Save X-ray image for report
-    img = Image.open(xray).resize((300, 300))
-    img_path = f"reports/{name}_xray.png"
-    img.save(img_path)
-
-    # Generate PDF report
-    report_path = f"reports/{name}_fracture_report.pdf"
-    c = canvas.Canvas(report_path, pagesize=letter)
-    
-    # Report title
-    c.setFont("Helvetica-Bold", 16)
-    c.drawString(200, 770, "Bone Fracture Detection Report")
-
-    # Patient details table
-    patient_data = [
-        ["Patient Name", name],
-        ["Age", age],
-        ["Gender", gender],
-        ["Weight", f"{weight} kg"],
-        ["Height", f"{height} cm"],
-        ["Allergies", allergies if allergies else "None"],
-        ["Cause of Injury", cause if cause else "Not Provided"],
-        ["Diagnosis", diagnosed_class],
-        ["Injury Severity", severity]
-    ]
-
-    # Format and align tables
-    def format_table(data):
-        table = Table(data, colWidths=[270, 270])  # Set 90% width
-        table.setStyle(TableStyle([
-            ('BACKGROUND', (0, 0), (-1, 0), colors.darkblue),
-            ('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
-            ('ALIGN', (0, 0), (-1, -1), 'CENTER'),
-            ('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
-            ('BOTTOMPADDING', (0, 0), (-1, 0), 12),
-            ('GRID', (0, 0), (-1, -1), 1, colors.black),
-            ('VALIGN', (0, 0), (-1, -1), 'MIDDLE')
-        ]))
-        return table
-
-    # Draw patient details table
-    patient_table = format_table(patient_data)
-    patient_table.wrapOn(c, 480, 500)
-    patient_table.drawOn(c, 50, 620)
-
-    # Load and insert X-ray image
-    c.drawInlineImage(img_path, 50, 320, width=250, height=250)
-    c.setFont("Helvetica-Bold", 12)
-    c.drawString(120, 290, f"Fractured: {'Yes' if diagnosed_class == 'Fractured' else 'No'}")
-
-    # Draw treatment and cost tables
-    treatment_table = format_table(treatment_data)
-    treatment_table.wrapOn(c, 480, 200)
-    treatment_table.drawOn(c, 50, 200)
-
-    cost_table = format_table(cost_duration_data)
-    cost_table.wrapOn(c, 480, 150)
-    cost_table.drawOn(c, 50, 80)
-
-    c.save()
-
-    return report_path  # Return path for auto-download
-
-# Function to send email with the report attached
-def send_email_report(email, report_path):
-    sender_email = "[email protected]"
-    sender_password = "1w3r5y7i9pW$"  # Use an app password or environment variable
-    subject = "Your Bone Fracture Detection Report"
-
-    msg = MIMEMultipart()
-    msg["From"] = sender_email
-    msg["To"] = email
-    msg["Subject"] = subject
-
-    body = "Dear Patient,\n\nPlease find attached your bone fracture detection report.\n\nBest Regards,\nYour Medical Team"
-    msg.attach(MIMEText(body, "plain"))
-
-    with open(report_path, "rb") as attachment:
-        part = MIMEBase("application", "octet-stream")
-        part.set_payload(attachment.read())
-        encoders.encode_base64(part)
-        part.add_header("Content-Disposition", f"attachment; filename={os.path.basename(report_path)}")
-        msg.attach(part)
-
-    try:
-        with smtplib.SMTP("smtp.gmail.com", 587) as server:
-            server.starttls()
-            server.login(sender_email, sender_password)
-            server.sendmail(sender_email, email, msg.as_string())
-        return "Email Sent Successfully"
-    except Exception as e:
-        return f"Failed to Send Email: {str(e)}"
-
-# Define Gradio Interface
-with gr.Blocks() as app:
-    gr.HTML(html_content)
-    gr.Markdown("## Bone Fracture Detection System")
-
-    name = gr.Textbox(label="Patient Name")
-    age = gr.Number(label="Age")
-    gender = gr.Radio(["Male", "Female", "Other"], label="Gender")
-    weight = gr.Number(label="Weight (kg)")
-    height = gr.Number(label="Height (cm)")
-    allergies = gr.Textbox(label="Allergies (if any)")
-    cause = gr.Textbox(label="Cause of Injury")
-    email = gr.Textbox(label="Patient Email")
-    xray = gr.Image(type="filepath", label="Upload X-ray Image")
-
-    submit_button = gr.Button("Generate Report")
-    output_file = gr.File(label="Download Report")
-    email_button = gr.Button("Send Email Report")
-
-    submit_button.click(generate_report, inputs=[name, age, gender, weight, height, allergies, cause, email, xray], outputs=[output_file])
-    email_button.click(send_email_report, inputs=[email, output_file], outputs=[])
-
-if __name__ == "__main__":
-    app.launch()