Update app.py

app.py

@@ -1,3 +1,41 @@
 import gradio as gr
 
-gr.load("models/AnkitAI/deberta-xlarge-base-emotions-classifier").launch()
+# Define the function to use the model for predictions
+def classify_emotion(text):
+    model = gr.Interface.load("models/AnkitAI/deberta-xlarge-base-emotions-classifier")
+    return model(text)
+
+# Validate the input
+def validate_input(text):
+    if len(text.strip()) == 0:
+        return "Please enter some text."
+    return classify_emotion(text)
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=validate_input,
+    inputs=gr.Textbox(lines=5, placeholder="Enter text here...", label="Input Text"),
+    outputs=gr.Label(label="Predicted Emotion"),
+    title="Emotion Classifier",
+    description="Enter some text and let the model predict the emotion.",
+    examples=["I am feeling great today!", "I am so sad and depressed.", "I am excited about the new project."],
+    theme="huggingface"
+)
+
+# Add some custom CSS to improve the look and feel
+css = """
+body {
+    background-color: #f8f9fa;
+    font-family: Arial, sans-serif;
+}
+h1 {
+    color: #007bff;
+}
+.gradio-container {
+    border-radius: 10px;
+    box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
+}
+"""
+
+# Launch the Gradio app with custom CSS
+interface.launch(server_name="0.0.0.0", server_port=8080, inline=False, css=css)