Instructions to use babuakash/TruthLens-AI-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use babuakash/TruthLens-AI-Models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://babuakash/TruthLens-AI-Models") - Notebooks
- Google Colab
- Kaggle
๐ก๏ธ TruthLens AI โ Multimodal Digital Media Verification Platform Backend
FastAPI & LangGraph autonomous digital media verification engine with custom deep learning models:
- CIFAKE Custom CNN Image & Video Detector
- BiLSTM Malicious URL Threat Classifier
- Hugging Face Audio Deepfake Model
- Error Level Analysis & Digital Forensics Suite
- Wikipedia & DuckDuckGo Multi-Tool News Verifier
API Endpoints
POST /api/analyze/image: Upload image for deepfake and ELA analysisPOST /api/analyze/video: Video frame sampling and temporal jitter analysisPOST /api/analyze/audio: Acoustic spectrogram and voice deepfake analysisPOST /api/analyze/url: BiLSTM URL threat classificationPOST /api/analyze/text: Factual claim extraction and web RAGPOST /api/chat/verify-news: Live fact-checking agent with Wikipedia & DuckDuckGo toolsGET /api/health: System health & model status
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