3v324v23 commited on
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1a3069d
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1 Parent(s): ce53066

add requirements.txt

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Files changed (2) hide show
  1. HomePage.py +0 -47
  2. requirements.txt +11 -0
HomePage.py DELETED
@@ -1,47 +0,0 @@
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- import streamlit as st
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- from PIL import Image
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-
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- def main():
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- st.set_page_config(page_title="DR Assistive Tool", layout="centered")
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-
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- st.markdown("<h1 style='text-align: center; color: #2E86C1;'>DR Assistive Tool</h1>", unsafe_allow_html=True)
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-
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- st.markdown("""
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- <h4 style='text-align: center; color: grey;'>
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- An AI-powered assistant for early detection of Diabetic Retinopathy
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- </h4>
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- """, unsafe_allow_html=True)
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-
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- st.markdown("""---""")
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-
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- st.markdown("""
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- ### 🧠 What is DR Assistive Tool?
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- **DR Assistive Tool** is a user-friendly web application built for early and accurate detection of **Diabetic Retinopathy (DR)**—a diabetes-related eye disease that can lead to blindness if not diagnosed in time. This tool uses **AI and deep learning models** trained on retinal images to help healthcare professionals, students, and researchers identify the severity stage of DR.
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-
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- By simply uploading a retinal image, the model will:
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- - Analyze the image using advanced machine learning techniques
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- - Predict the stage of Diabetic Retinopathy (No DR, Mild, Moderate, Severe, Proliferative DR)
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- - Provide a quick, reliable, and cost-efficient second opinion for screening
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-
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- The app also offers evaluation options to test the model's performance using real datasets, ensuring its credibility and practical usability.
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- """)
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-
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- st.markdown("""
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- ---
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- ### 🛠 Features:
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- - 📤 **Upload retinal images** for DR stage prediction
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- - 📊 **Evaluate** the model using real test datasets
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- - 📁 **View results** with interpretation and confidence score
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- - 📈 **Analyze model performance** using accuracy, precision, confusion matrix, and more (in evaluation mode)
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-
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- ---
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- ### 📌 How to Use:
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- 1. Use the **sidebar** to select a feature (e.g., Predict or Evaluate).
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- 2. In **Evaluate**, to check model accuracy.
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- 3. In **Predict**, choose an DR image in sample images to predict or upload a high-quality retinal image (JPEG or PNG).
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-
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- ⚠️ *Note: This tool is not a diagnostic tool. This is an assistive tool for Doctors.*
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- """)
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-
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- if __name__ == '__main__':
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- main()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
requirements.txt ADDED
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+ streamlit
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+ pandas
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+ numpy
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+ matplotlib
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+ seaborn
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+ opencv-python
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+ Pillow
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+ torch
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+ torchvision
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+ scikit-learn
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+ fpdf