Update README.md

README.md

@@ -1,3 +1,42 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+- video-classification
+- emotion-detection
+- education
+- qwen2.5-vl
+library_name: transformers
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
+---
+
+# DAiSEE Emotion Detection Model
+
+This model detects 4 emotion states (Boredom, Engagement, Confusion, Frustration) from educational videos.
+
+## Architecture
+
+- **Stage 1**: Qwen2.5-VL-7B-Instruct (embedding extraction)
+- **Stage 2**: MLP classifiers (4 separate models)
+
+## Usage
+
+### Via Inference Endpoint
+
+```python
+import requests
+import base64
+
+# Encode video
+with open("student_video.avi", "rb") as f:
+    video_b64 = base64.b64encode(f.read()).decode()
+
+# Send request
+response = requests.post(
+    "https://YOUR-ENDPOINT.aws.endpoints.huggingface.cloud",
+    headers={"Authorization": f"Bearer {YOUR_HF_TOKEN}"},
+    json={"inputs": video_b64}
+)
+
+predictions = response.json()
+print(predictions)