Update app.py

app.py

@@ -1,10 +1,20 @@
 import gradio as gr
+from transformers import pipeline
 
-with gr.Blocks(fill_height=True) as demo:
-    with gr.Sidebar():
-        gr.Markdown("# Inference Provider")
-        gr.Markdown("This Space showcases the dima806/facial_emotions_image_detection model, served by the hf-inference API. Sign in with your Hugging Face account to use this API.")
-        button = gr.LoginButton("Sign in")
-    gr.load("models/dima806/facial_emotions_image_detection", accept_token=button, provider="hf-inference")
-    
-demo.launch()
+# Load emotion model from Hugging Face
+emotion_pipe = pipeline("image-classification", model="dima806/facial_emotions_image_detection")
+
+def detect_emotion(image):
+    results = emotion_pipe(image)
+    if results:
+        top = results[0]
+        return f"{top['label']} ({100*top['score']:.1f}%)"
+    return "No face detected"
+
+gr.Interface(
+    fn=detect_emotion,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="High Accuracy Emotion Detector",
+    description="Powered by dima806/facial_emotions_image_detection (~91% accurate)"
+).launch()