Delete emotion_classification.py

emotion_classification.py

@@ -1,40 +0,0 @@
-import gradio as gr
-import spaces
-from transformers import AutoImageProcessor
-from transformers import SiglipForImageClassification
-from PIL import Image
-import torch
-
-# Load model and processor
-model_name = "prithivMLmods/Facial-Emotion-Detection-SigLIP2"
-model = SiglipForImageClassification.from_pretrained(model_name)
-processor = AutoImageProcessor.from_pretrained(model_name)
-
-@spaces.GPU
-def emotion_classification(image):
-    """Predicts facial emotion classification for an image."""
-    image = Image.fromarray(image).convert("RGB")
-    inputs = processor(images=image, return_tensors="pt")
-    
-    with torch.no_grad():
-        outputs = model(**inputs)
-        logits = outputs.logits
-        probs = torch.nn.functional.softmax(logits, dim=1).squeeze().tolist()
-    
-    labels = {
-        "0": "Ahegao", "1": "Angry", "2": "Happy", "3": "Neutral",
-        "4": "Sad", "5": "Surprise"
-    }
-    predictions = {labels[str(i)]: round(probs[i], 3) for i in range(len(probs))}
-    
-    return predictions
-
-if __name__ == "__main__":
-    iface = gr.Interface(
-        fn=emotion_classification,
-        inputs=gr.Image(type="numpy"),
-        outputs=gr.Label(label="Prediction Scores"),
-        title="Facial Emotion Detection",
-        description="Upload an image to classify the facial emotion."
-    )
-    iface.launch()