Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load your model (make sure this is your actual model ID)
+emotion_classifier = pipeline("text-classification", model="ShahzadSohail/emotion_detection_model_final", return_all_scores=True)
+
+# Define the function to return prediction
+def predict_emotion(text):
+    results = emotion_classifier(text)
+    return results
+
+# Gradio interface (for UI)
+iface = gr.Interface(fn=predict_emotion, inputs=gr.Textbox(label="Enter Text"), outputs="json")
+
+# Enable API mode
+iface.launch(share=False)