Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+model_name = "elo4/TinyBERT-sentiment-model"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+def predict_sentiment(text):
+    inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True, max_length=128)
+    outputs = model(**inputs)
+    sentiment = outputs.logits.argmax().item()
+    return f"Predicted Sentiment Class: {sentiment}"
+
+interface = gr.Interface(
+    fn=predict_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a review here..."),
+    outputs="text",
+    title="TinyBERT Sentiment Analysis",
+    description="Enter a text review and get the sentiment class predicted by TinyBERT."
+)
+
+interface.launch()