Update app.py

The real deal!!! YAAAAY TRIAL AND ERROR.

app.py

@@ -0,0 +1,50 @@
+import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
+
+
+class EmotionClassifier:
+    def __init__(self):
+        self.model = AutoModelForSequenceClassification.from_pretrained("barbieheimer/MND_TweetEvalBert_model")
+        self.tokenizer = AutoTokenizer.from_pretrained("barbieheimer/MND_TweetEvalBert_model")
+        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 = {
+            "Anger 😠": pred[0]["score"],
+           "Joy 😂": pred[1]["score"],
+           "Surprise 😲": pred[2]["score"],
+           "Sadness 😭": pred[3]["score"],
+        }
+        return result
+
+
+def main():
+    model = EmotionClassifier()
+    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",
+        examples=[
+    ["The movie was a bummer."],
+    ["I cannot wait to watch all these movies!"],
+    ["The ending of the movie really irks me, gives me the ick fr."],
+    ["The protagonist seems to have a lot of hope...."]
+],
+    )
+
+    iface.launch()
+
+
+if __name__ == "__main__":
+    main()