Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import AutoModelForImageClassification, AutoImageProcessor
+from PIL import Image
+import torch
+
+model_id = "SEAR01/FER_model"  # 你的模型 ID
+processor = AutoImageProcessor.from_pretrained(model_id)
+model = AutoModelForImageClassification.from_pretrained(model_id)
+emotion_labels = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']
+
+def predict_emotion(image):
+    inputs = processor(images=image, return_tensors="pt")
+    with torch.no_grad():
+        outputs = model(**inputs)
+        predicted = outputs.logits.argmax(-1).item()
+    emotion = emotion_labels[predicted]
+    return f"Detected: {emotion}"
+
+iface = gr.Interface(fn=predict_emotion, inputs=gr.Image(type="pil"), outputs="text")
+iface.launch()