Update README.md

README.md

@@ -9,28 +9,12 @@ app_file: app.py
 pinned: false
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-## FakeSpotter — Image Deepfake Detector (Images Only)
+## FakeSpotter — Image Deepfake Detector
 
 **What it does**
 - Detect faces (MTCNN). If faces are found, classify **each face**; otherwise classify the **whole image**.
 - Uses a vision classifier fine-tuned for deepfake detection from Hugging Face.
 - **No EXIF heuristics** — purely image-based.
 
-**Model**
-- Default: `prithivMLmods/Deep-Fake-Detector-v2-Model`  
-  You can swap to another HF model by editing `MODEL_ID` in `app.py`.  
-  (Make sure the license allows your intended use.)
-
-**How to run on Spaces**
-1. Create a Space → SDK: **Gradio**, Template: **Blank**, Public.
-2. Upload `app.py`, `requirements.txt`, `README.md` to the **repo root**.
-3. Wait for “Running 🟢” and open the **App** tab.
-
 **Notes**
-- This is a **classroom demo**, not a forensic tool.
-- For better robustness: constrain input size (done), and aggregate per-face scores (done).
-- For videos, extend by sampling frames and aggregating scores.
-
-**License**
-- Your code: choose MIT/Apache-2.0 for simplicity.
-- The model’s own license is defined on its HF model card — verify before production use.
+- This is a **classroom demo**, not a forensic tool.