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import streamlit as st
import numpy as np
from PIL import Image
import insightface
import cv2
import os
import tempfile
st.set_page_config(page_title="Face Finder on Internet", layout="centered")
st.title("🕵️♂️ Check if Your Face Exists on the Internet")
st.markdown("Upload your photo and we'll search for public matches using reverse image search and AI-based face comparison.")
# Load InsightFace model
@st.cache_resource
def load_model():
model = insightface.app.FaceAnalysis(name='buffalo_l')
model.prepare(ctx_id=0)
return model
model = load_model()
# Function to extract face embeddings
def get_face_embedding(image):
image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
faces = model.get(image)
if faces:
return faces[0].embedding
else:
return None
# UI: Upload image
uploaded_file = st.file_uploader("Upload your face image (jpg/png)", type=["jpg", "jpeg", "png"])
if uploaded_file:
# Show uploaded image
image = Image.open(uploaded_file).convert("RGB")
st.image(image, caption="Uploaded Image", use_column_width=True)
# Extract face embedding
embedding = get_face_embedding(image)
if embedding is not None:
st.success("Face features extracted successfully ✅")
# Convert image to bytes for reverse search
img_byte_arr = tempfile.NamedTemporaryFile(delete=False, suffix=".jpg")
image.save(img_byte_arr.name)
img_bytes = open(img_byte_arr.name, 'rb').read()
# Provide links for manual reverse search
st.subheader("🔍 Search Your Face on the Web")
col1, col2, col3 = st.columns(3)
with col1:
st.markdown("[Search on Google](https://images.google.com)")
st.caption("Upload the same image manually")
with col2:
st.markdown("[Search on Yandex](https://yandex.com/images)")
st.caption("Yandex is great for face search")
with col3:
st.markdown("[Search on Bing](https://www.bing.com/visualsearch)")
st.caption("Another good reverse image search")
st.info("These tools let you check if your face appears on the internet. Full automation is limited due to privacy restrictions.")
else:
st.warning("No face detected in the uploaded image. Try another photo.")
st.markdown("---")
st.markdown("Created with ❤️ using open-source InsightFace and public search tools.")
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