Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load your pre-trained model
+model = pipeline("text-classification", model="i0xs0/Text_Classifiction", tokenizer="i0xs0/Text_Classifiction")
+
+
+def predict_emotion(text):
+    
+    results = model(text)  
+    return {item["label"]: item["score"] for item in results}
+
+
+theme = gr.themes.Ocean()
+
+demo = gr.Interface(
+    fn=predict_emotion,                
+    inputs=gr.Textbox(label="Input Text"),  
+    outputs=gr.Label(label="Emotion"),
+    title="Emotion Classifier",
+    description="Enter a text to classify its emotion.",
+    allow_flagging="never",  
+
+    theme=theme  
+)
+
+
+demo.launch()