Create app.py

app.py

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+from transformers import T5ForConditionalGeneration, T5Tokenizer
+import gradio as gr
+
+model_name = "t5-small"
+text2text_tokenizer = T5Tokenizer.from_pretrained(model_name)
+model = T5ForConditionalGeneration.from_pretrained(model_name)
+
+def text2text_sentiment(text):
+    input = "Sentiment analysis for this sentence:" + text
+    encoded = text2text_tokenizer(input, return_tensors="pt")
+    tokens = model.generate(**encoded)
+    response = text2text_tokenizer.batch_decode(tokens)
+    return response
+
+in_para = gr.Textbox(lines=1, label="English text", placeholder="Text in English")
+out = gr.Textbox(lines=1, label="Sentiment")
+
+gr.Interface(text2text_sentiment, inputs=in_para, outputs=out)