Create app.py

app.py

@@ -0,0 +1,24 @@
+from transformers import pipeline
+import gradio as gr
+
+model_checkpoint = "MuntasirHossain/RoBERTa-base-finetuned-emotion"
+model = pipeline("text-classification", model=model_checkpoint)
+
+def classify(text):
+    label = model(text)[0]["label"]
+    return label
+
+description = "This AI model is trained to classify texts expressing human emotion into six categories: sadness, joy, love, anger, fear, and surprise." 
+title = "Classify Texts Expressing Emotion"
+examples = [["This is such a beautiful place"]]
+
+iface = gr.Interface(
+    fn=classify,
+    inputs=gr.Textbox(),
+    outputs=gr.Label(),
+    title=title,
+    description=description,
+    examples=examples,
+)
+
+iface.launch()