Delete app1.py

app1.py

@@ -1,130 +0,0 @@
-from PIL import Image
-import numpy as np
-import cv2
-import requests
-import face_recognition
-import os
-import streamlit as st
-
-# page title and description
-st.set_page_config(
-    page_title="Aadhaar Based Face Recognition Attendance System",
-    page_icon="📷",
-    layout="centered",
-    initial_sidebar_state="collapsed"
-)
-st.title("Attendance System Using Face Recognition 📷")
-st.markdown("This app recognizes faces in an image, verifies Aadhaar card details, and updates attendance records with the current timestamp.")
-
-# Load images for face recognition
-Images = []   # List to store Images
-classnames = []  # List to store classnames
-aadhar_numbers = []  # List to store Aadhaar numbers
-
-directory = "photos"
-myList = os.listdir(directory)
-
-for cls in myList:
-    if os.path.splitext(cls)[1] in [".jpg", ".jpeg"]:
-        img_path = os.path.join(directory, cls)
-        curImg = cv2.imread(img_path)
-        Images.append(curImg)
-        classnames.append(os.path.splitext(cls)[0])
-        # Assume Aadhaar number is part of the image filename (e.g., "123456_john.jpg")
-        aadhar_numbers.append(cls.split('_')[0])
-
-# Function to validate Aadhaar card number
-def validate_aadhaar(aadhaar):
-    # Implement your Aadhaar card validation logic here
-    # For simplicity, let's assume any 6-digit number is a valid Aadhaar card
-    return len(aadhaar) == 6 and aadhaar.isdigit()
-
-# Function to update Aadhaar data
-def update_data(name, aadhaar_number):
-    url = "https://attendanceviaface.000webhostapp.com"
-    url1 = "/update.php"
-    data = {'name': name, 'aadhaar': aadhaar_number}
-    response = requests.post(url + url1, data=data)
-    
-    if response.status_code == 200:
-        st.success("Data updated on: " + url)
-    else:
-        st.warning("Data not updated")
-
-# Function to display image with overlay
-def display_image_with_overlay(image, name):
-    # Add overlay to the image (e.g., bounding box and name)
-    # ...
-
-    # Apply styling with CSS
-    st.markdown('<style>img { animation: pulse 2s infinite; }</style>', unsafe_allow_html=True)
-    st.image(image, use_column_width=True, output_format="PNG")
-
-# Take input Aadhaar card details
-aadhaar_number = st.text_input("Enter your 4-digits Aadhaar Number:")
-    
-# Take picture using the camera 
-img_file_buffer = st.camera_input("Take a picture")
-
-# Load images for face recognition
-encodeListknown = [face_recognition.face_encodings(img)[0] for img in Images]
-
-if img_file_buffer is not None:
-    # Validate Aadhaar card number
-    if validate_aadhaar(aadhaar_number):
-        test_image = Image.open(img_file_buffer)
-        image = np.asarray(test_image)
-
-        imgS = cv2.resize(image, (0, 0), None, 0.25, 0.25)
-        imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
-        facesCurFrame = face_recognition.face_locations(imgS)
-        encodesCurFrame = face_recognition.face_encodings(imgS, facesCurFrame)
-
-        name = "Unknown"  # Default name for unknown faces
-
-        # Checking if faces are detected
-        if len(encodesCurFrame) > 0:
-            for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
-                # Assuming that encodeListknown is defined and populated in your code
-                matches = face_recognition.compare_faces(encodeListknown, encodeFace)
-                faceDis = face_recognition.face_distance(encodeListknown, encodeFace)
-                matchIndex = np.argmin(faceDis)
-
-                if matches[matchIndex]:
-                    name = classnames[matchIndex].upper()
-                    
-                    # Check if Aadhaar number is found in the database
-                    if aadhaar_number not in aadhar_numbers:
-                        st.error("Face recognized, but Aadhaar number not found in the database.")
-                    else:
-                        # Update data only if a known face is detected and Aadhaar number is valid
-                        update_data(name, aadhaar_number)
-                    
-                else:
-                    # Face recognized, but not matched with Aadhaar number
-                    st.error("Face recognized, but Aadhaar number does not match.")
-
-                y1, x2, y2, x1 = faceLoc
-                y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
-                cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
-                cv2.rectangle(image, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
-                cv2.putText(image, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
-
-            display_image_with_overlay(image, name)
-
-            # Display the name corresponding to the entered Aadhaar number
-            if name == "Unknown":
-                # Match Aadhaar number with the list
-                aadhar_index = aadhar_numbers.index(aadhaar_number) if aadhaar_number in aadhar_numbers else None
-                if aadhar_index is not None:
-                    st.success(f"Match found: {classnames[aadhar_index]}")
-                else:
-                    st.warning("Face not detected, and Aadhaar number not found in the database.")
-            else:
-                st.success(f"Face recognized: {name}")
-
-        else:
-            st.warning("No faces detected in the image. Face recognition failed.")
-
-    else:
-        st.error("Invalid Aadhaar card number. Please enter a valid 6-digit Aadhaar number.")