Updated app.py

app.py

@@ -1,23 +1,46 @@
 import gradio as gr
-from transformers import pipeline
-
-pipeline = pipeline("text-classification", model="bhadresh-savani/bert-base-uncased-emotion", return_all_scores=True)
-
-def predict(input_text):
-  preds = pipeline(input_text)
-  pred= preds[0]
-  res = {"Sadness 😭": pred[0]["score"],
-         "Joy 😂": pred[1]["score"],
-         "Love 😍": pred[2]["score"],
-         "Anger 😠": pred[3]["score"],
-         "Fear 😨": pred[4]["score"],
-         "Surprise 😲": pred[5]["score"],
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
+
+
+class EmotionClassifier:
+    def __init__(self, model_name: str):
+        self.model = AutoModelForSequenceClassification.from_pretrained(model_name)
+        self.tokenizer = AutoTokenizer.from_pretrained(model_name)
+        self.pipeline = pipeline(
+            "text-classification",
+            model=self.model,
+            tokenizer=self.tokenizer,
+            return_all_scores=True,
+        )
+
+    def predict(self, input_text: str):
+        pred = self.pipeline(input_text)[0]
+        result = {
+            "Sadness 😭": pred[0]["score"],
+            "Joy 😂": pred[1]["score"],
+            "Love 😍": pred[2]["score"],
+            "Anger 😠": pred[3]["score"],
+            "Fear 😨": pred[4]["score"],
+            "Surprise 😲": pred[5]["score"],
         }
-  return res
+        return result
+
+
+def main():
+    model = EmotionClassifier("bhadresh-savani/bert-base-uncased-emotion")
+    iface = gr.Interface(
+        fn=model.predict,
+        inputs=gr.inputs.Textbox(
+            lines=3,
+            placeholder="Type a phrase that has some emotion",
+            label="Input Text",
+        ),
+        outputs="label",
+        title="Emotion Classification",
+    )
+
+    iface.launch()
 
-iface = gr.Interface(fn = predict, 
-                     inputs = "text", 
-                     outputs = gr.outputs.Label(num_top_classes=None, type="auto", label=None),
-                     title = 'Sentiment Analysis')
 
-iface.launch()
+if __name__ == "__main__":
+    main()