fix

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the face emotion recognition model
+emotion_classifier = pipeline("image-classification", model="dima806/facial_emotions_image_detection")
+
+def detect_emotion(image):
+    # Perform emotion detection
+    results = emotion_classifier(image)
+    
+    # Format and return the results
+    return {result["label"]: f"{result['score']:.4f}" for result in results}
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn=detect_emotion,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=7),
+    title="Facial Expression Recognition",
+    description="Upload an image with a face to detect the emotion/expression. The model can recognize: anger, disgust, fear, happiness, neutral, sadness, and surprise."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -0,0 +1,4 @@
+gradio>=3.50.2
+transformers>=4.30.0
+torch>=2.0.0
+Pillow>=9.5.0