| import streamlit as st |
| import numpy as np |
| import cv2 |
| import tempfile |
| import requests |
| from PIL import Image |
| from pytube import YouTube |
| import os |
| from PIL import Image |
| import tensorflow as tf |
| from transformers import pipeline |
| from tensorflow.keras.applications import Xception, EfficientNetB7 |
| from tensorflow.keras.models import Model |
| from tensorflow.keras.layers import Dense, GlobalAveragePooling2D |
| from tensorflow.keras.preprocessing.image import load_img, img_to_array |
|
|
| |
| st.set_page_config(page_title="Fake & Deepfake Detection", layout="wide") |
|
|
| st.title("📰 Fake News & Deepfake Detection Tool") |
| st.write("🚀 Detect Fake News, Deepfake Images, and Videos using AI") |
|
|
| |
| fake_news_detector = pipeline("text-classification", model="microsoft/deberta-v3-base") |
|
|
| @st.cache_resource |
| def load_fake_news_model(): |
| return pipeline("text-classification", model="microsoft/deberta-v3-base") |
|
|
| @st.cache_resource |
| def load_deepfake_models(): |
| base_model_image = Xception(weights="imagenet", include_top=False) |
| base_model_image.trainable = False |
| x = GlobalAveragePooling2D()(base_model_image.output) |
| x = Dense(1024, activation="relu")(x) |
| x = Dense(1, activation="sigmoid")(x) |
| deepfake_image_model = Model(inputs=base_model_image.input, outputs=x) |
|
|
| base_model_video = EfficientNetB7(weights="imagenet", include_top=False) |
| base_model_video.trainable = False |
| x = GlobalAveragePooling2D()(base_model_video.output) |
| x = Dense(1024, activation="relu")(x) |
| x = Dense(1, activation="sigmoid")(x) |
| deepfake_video_model = Model(inputs=base_model_video.input, outputs=x) |
|
|
| return deepfake_image_model, deepfake_video_model |
|
|
| |
| fake_news_detector = load_fake_news_model() |
| deepfake_image_model, deepfake_video_model = load_deepfake_models() |
|
|
|
|
| |
| base_model_image = Xception(weights="imagenet", include_top=False) |
| base_model_image.trainable = False |
| x = GlobalAveragePooling2D()(base_model_image.output) |
| x = Dense(1024, activation="relu")(x) |
| x = Dense(1, activation="sigmoid")(x) |
| deepfake_image_model = Model(inputs=base_model_image.input, outputs=x) |
|
|
| base_model_video = EfficientNetB7(weights="imagenet", include_top=False) |
| base_model_video.trainable = False |
| x = GlobalAveragePooling2D()(base_model_video.output) |
| x = Dense(1024, activation="relu")(x) |
| x = Dense(1, activation="sigmoid")(x) |
| deepfake_video_model = Model(inputs=base_model_video.input, outputs=x) |
|
|
| |
| def preprocess_image(image_path): |
| img = load_img(image_path, target_size=(100, 100)) |
| img = img_to_array(img) |
| img = np.expand_dims(img, axis=0) |
| img /= 255.0 |
| return img |
|
|
| |
| def detect_deepfake_image(image_path): |
| image = preprocess_image(image_path) |
| prediction = deepfake_image_model.predict(image)[0][0] |
| confidence = round(float(prediction), 2) |
| label = "FAKE" if confidence > 0.5 else "REAL" |
| return {"label": label, "score": confidence} |
|
|
| |
| st.subheader("📝 Fake News Detection") |
| news_input = st.text_area("Enter News Text:", placeholder="Type here...") |
|
|
| |
| fact_check_db = { |
| "elon musk was born in 1932": "FAKE", |
| "earth revolves around the sun": "REAL", |
| "the moon is made of cheese": "FAKE", |
| "water boils at 100 degrees celsius": "REAL", |
| "the great wall of china is visible from space": "FAKE", |
| "human beings need oxygen to survive": "REAL", |
| "vaccines cause autism": "FAKE", |
| "the sun rises in the west": "FAKE", |
| "chocolate is toxic to dogs": "REAL", |
| "microsoft was founded by bill gates": "REAL", |
| "dinosaurs and humans lived together": "FAKE", |
| "the eiffel tower is in italy": "FAKE", |
| "the speed of light is faster than sound": "REAL", |
| "5g technology spreads covid-19": "FAKE", |
| "honey never spoils": "REAL", |
| "napoleon was extremely short": "FAKE", |
| "goldfish have a three-second memory": "FAKE", |
| "einstein failed math in school": "FAKE", |
| "birds are descendants of dinosaurs": "REAL", |
| "water is composed of hydrogen and oxygen": "REAL", |
| "humans only use 10 percent of their brain": "FAKE", |
| "the human body has 206 bones": "REAL", |
| "the great pyramid of giza was built by aliens": "FAKE", |
| "the internet was invented in 1983": "REAL", |
| "earth is flat": "FAKE", |
| "bananas grow on trees": "FAKE", |
| "polar bears are left-handed": "FAKE", |
| "the amazon rainforest produces 20 percent of the world's oxygen": "REAL", |
| "dogs can see only black and white": "FAKE", |
| "lightning never strikes the same place twice": "FAKE", |
| "the shortest war lasted only 38 minutes": "REAL", |
| "there is no gravity in space": "FAKE", |
| "sharks do not get cancer": "FAKE", |
| "the human heart beats about 100,000 times a day": "REAL", |
| "albert einstein was a high school dropout": "FAKE", |
| "diamonds are formed from coal": "FAKE", |
| "the human tongue has different taste zones": "FAKE", |
| "tomatoes are a fruit": "REAL", |
| "a year on venus is shorter than a day": "REAL", |
| "vikings wore horned helmets": "FAKE", |
| "the moon has its own gravity": "REAL", |
| "sugar causes hyperactivity in children": "FAKE", |
| "human blood is blue inside the body": "FAKE", |
| "gold is edible": "REAL", |
| "ostriches bury their heads in the sand": "FAKE", |
| "earth is the only planet with water": "FAKE", |
| "black holes can evaporate": "REAL", |
| "a penny dropped from the empire state building can kill a person": "FAKE", |
| "octopuses have three hearts": "REAL", |
| "mars is red because of iron oxide": "REAL", |
| "eating carrots improves eyesight": "FAKE", |
| "the human nose and ears keep growing with age": "REAL", |
| "the leaning tower of pisa has always leaned": "REAL", |
| "bats are blind": "FAKE", |
| "you swallow eight spiders a year in your sleep": "FAKE", |
| "the statue of liberty was a gift from france": "REAL", |
| "light bulbs were invented by thomas edison": "REAL", |
| "chameleons change color to match their surroundings": "FAKE", |
| "dogs have unique nose prints": "REAL", |
| "some frogs can survive being frozen": "REAL", |
| "birds die if they eat rice": "FAKE", |
| "a group of crows is called a murder": "REAL", |
| "human dna is 60% similar to bananas": "REAL", |
| "snakes can dislocate their jaws": "REAL", |
| "the longest english word has 189,819 letters": "REAL", |
| "there are more trees on earth than stars in the milky way": "REAL", |
| "bananas are berries": "REAL", |
| "peanuts are nuts": "FAKE", |
| "avocados are poisonous to birds": "REAL", |
| "a day on mercury is longer than its year": "REAL", |
| "sharks existed before trees": "REAL", |
| "the olympics were originally held in greece": "REAL", |
| "human fingers have no muscles": "REAL", |
| "cows have best friends": "REAL", |
| "the inventor of the frisbee was turned into a frisbee after he died": "REAL", |
| "watermelon is 92% water": "REAL", |
| "new york was once called new amsterdam": "REAL", |
| "the heart of a blue whale is the size of a small car": "REAL", |
| "giraffes have the same number of neck bones as humans": "REAL", |
| "venus is the hottest planet in the solar system": "REAL", |
| "your hair and nails continue to grow after death": "FAKE", |
| "the sun is a star": "REAL", |
| "the human body glows in the dark but is invisible to the naked eye": "REAL", |
| "barbie’s full name is barbara millicent roberts": "REAL", |
| "ants can carry 50 times their own body weight": "REAL", |
| "rabbits can’t vomit": "REAL", |
| "the speed of sound is faster in water than in air": "REAL", |
| "every planet in our solar system could fit between earth and the moon": "REAL", |
| "a single lightning bolt is five times hotter than the sun’s surface": "REAL", |
| "mosquitoes are the deadliest animals on earth": "REAL", |
| "sea otters hold hands while sleeping": "REAL", |
| "the empire state building can be seen from space": "FAKE", |
| "your stomach gets a new lining every 3 to 4 days": "REAL", |
| "hummingbirds can fly backward": "REAL", |
| "a shrimp’s heart is in its head": "REAL", |
| "the eiffel tower grows in the summer": "REAL", |
| "neptune was the first planet discovered using math": "REAL" |
| } |
| def check_manual_facts(text): |
| text_lower = text.lower().strip() |
| return fact_check_db.get(text_lower, None) |
|
|
| if st.button("Check News"): |
| |
| loading_placeholder = st.empty() |
| with loading_placeholder: |
| st.markdown("🔍 Processing...", unsafe_allow_html=True) |
|
|
| |
| manual_result = check_manual_facts(news_input) |
| if manual_result: |
| if manual_result == "FAKE": |
| st.error(f"⚠️ Result: This news is **FAKE** (Verified by Database).") |
| else: |
| st.success(f"✅ Result: This news is **REAL** (Verified by Database).") |
| else: |
| |
| prediction = fake_news_detector(news_input) |
| label = prediction[0]['label'].lower() |
| confidence = prediction[0]['score'] |
|
|
| if "fake" in label or confidence < 0.5: |
| st.error(f"⚠️ Result: This news is **FAKE**. (Confidence: {confidence:.2f})") |
| else: |
| st.success(f"✅ Result: This news is **REAL**. (Confidence: {confidence:.2f})") |
|
|
| st.subheader("📸 Deepfake Image Detection") |
| uploaded_image = st.file_uploader("Upload an Image", type=["jpg", "png", "jpeg"]) |
|
|
| if uploaded_image is not None: |
| temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") |
| img = Image.open(uploaded_image).convert("RGB") |
| img.save(temp_file.name, "JPEG") |
| |
| |
| st.image(temp_file.name, caption="🖼️ Uploaded Image", width=300) |
| |
| if st.button("Analyze Image"): |
| st.write("🔍 Processing...") |
| |
| |
| result = detect_deepfake_image(temp_file.name) |
| |
| if result["label"] == "REAL": |
| st.success(f"✅ Result: This image is Real. (Confidence: {1 - result['score']:.2f})") |
| else: |
| st.error(f"⚠️ Result: This image is a Deepfake. (Confidence: {result['score']:.2f})") |
|
|
| |
| st.subheader("🎥 Deepfake Video Detection") |
|
|
| |
| uploaded_video = st.file_uploader("Upload a Video", type=["mp4", "avi", "mov"]) |
|
|
| |
| video_url = st.text_input("Enter Video URL (YouTube or MP4 Link)") |
|
|
| |
| def detect_deepfake_video(video_path): |
| cap = cv2.VideoCapture(video_path) |
| frame_scores = [] |
| frame_count = 0 |
| |
| while cap.isOpened(): |
| ret, frame = cap.read() |
| if not ret: |
| break |
| |
| if frame_count % 10 == 0: |
| frame_path = "temp_frame.jpg" |
| cv2.imwrite(frame_path, frame) |
| result = detect_deepfake_image(frame_path) |
| frame_scores.append(result["score"]) |
| os.remove(frame_path) |
| |
| frame_count += 1 |
| |
| cap.release() |
| |
| if not frame_scores: |
| return {"label": "UNKNOWN", "score": 0.0} |
| |
| avg_score = np.mean(frame_scores) |
| confidence = round(float(avg_score), 2) |
| final_label = "FAKE" if avg_score > 0.5 else "REAL" |
| |
| return {"label": final_label, "score": confidence} |
|
|
| |
| def download_video(url): |
| try: |
| temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") |
| response = requests.get(url, stream=True) |
| if response.status_code == 200: |
| with open(temp_file.name, "wb") as f: |
| for chunk in response.iter_content(chunk_size=1024): |
| f.write(chunk) |
| return temp_file.name |
| else: |
| return None |
| except Exception as e: |
| return None |
| |
|
|
| |
| video_path = None |
|
|
| if uploaded_video is not None: |
| temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") |
| with open(temp_file.name, "wb") as f: |
| f.write(uploaded_video.read()) |
| video_path = temp_file.name |
| st.video(video_path) |
|
|
| elif video_url: |
| if "youtube.com" in video_url or "youtu.be" in video_url: |
| st.markdown( |
| f'<iframe width="560" height="315" src="{video_url.replace("watch?v=", "embed/")}" frameborder="0" allowfullscreen></iframe>', |
| unsafe_allow_html=True, |
| ) |
| else: |
| video_path = download_video(video_url) |
| if video_path: |
| st.video(video_path) |
| else: |
| st.warning("⚠️ Invalid MP4 URL.") |
|
|
| |
| if uploaded_video or (video_url and not "youtube.com" in video_url): |
| analyze_button = st.button("Analyze Video") |
|
|
| if analyze_button and video_path: |
| st.write("🔍 Processing... Please wait.") |
| result = detect_deepfake_video(video_path) |
| |
| if result["label"] == "FAKE": |
| st.error(f"⚠️ Deepfake Detected! This video appears to be FAKE. (Confidence: {result['score']:.2f})") |
| elif result["label"] == "REAL": |
| st.success(f"✅ This video appears to be REAL. (Confidence: {1 - result['score']:.2f})") |
| else: |
| st.warning("⚠️ Unable to analyze the video. Please try a different file.") |
|
|
| |
| st.markdown("🔹 **Developed for Fake News & Deepfake Detection**") |
|
|
