Update app.py

app.py

@@ -1,12 +1,73 @@
 import streamlit as st
-from generate_video import generate_video_from_text
+import requests
+import face_recognition
+import numpy as np
+from PIL import Image
+import os
+import io
 
-st.title("🎥 Text-to-Video Generator (CPU Only)")
+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.")
 
-prompt = st.text_input("Enter your prompt", "A futuristic cityscape at night")
-generate_btn = st.button("Generate Video")
+# Function to convert uploaded image to face encoding
+def get_face_encoding(image_file):
+    try:
+        image = face_recognition.load_image_file(image_file)
+        encodings = face_recognition.face_encodings(image)
+        if encodings:
+            return encodings[0]
+        else:
+            return None
+    except Exception as e:
+        st.error(f"Error processing image: {e}")
+        return None
 
-if generate_btn and prompt:
-    with st.spinner("Generating video..."):
-        output_path = generate_video_from_text(prompt)
-        st.video(output_path)
+# Function to reverse search using Yandex (via redirect to their site)
+def generate_yandex_link(image_bytes):
+    temp_file_path = "temp_image.jpg"
+    with open(temp_file_path, "wb") as f:
+        f.write(image_bytes)
+    return "https://yandex.com/images/search?rpt=imageview&url="
+
+# 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)
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    # Extract face encoding
+    encoding = get_face_encoding(uploaded_file)
+
+    if encoding is not None:
+        st.success("Face encoding extracted successfully ✅")
+
+        # Convert image to bytes for reverse search
+        img_byte_arr = io.BytesIO()
+        image.save(img_byte_arr, format='JPEG')
+        img_bytes = img_byte_arr.getvalue()
+
+        # 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 there 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 face recognition models and public search tools.")