Update app.py

app.py

@@ -1,7 +1,40 @@
 import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+class Emotionclass:
+    def __init__(self, model: str):
+        self.model = AutoModelForSequenceClassification.from_pretrained(model)
+        self.pipeline = pipeline(
+            "text-classification",
+            model=self.model,
+            return_all_scores=True,
+        )
+
+    def predict(self, input: str):
+        output = self.pipeline(input)[0]
+        result = {
+            "sad": output[0]["score"],
+            "joy": output[1]["score"],
+            "love": output[2]["score"],
+            "anger": output[3]["score"],
+            "fear": output[4]["score"],
+            "surprise": output[5]["score"],
+        }
+        return result
+
+
+def main():
+    model = Emotionclass("bhadresh-savani/bert-base-uncased-emotion")
+    iface = gr.Interface(
+        fn=model.predict,
+        inputs="text",
+        outputs=["text"],
+        title="Sentiment Classification",
+    )
+
+    iface.launch()
+
+
+if __name__ == "__main__":
+    main()