Update app.py

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-def greet(name):
-    return "Hello " + name + "!!"
+tokenizer = AutoTokenizer.from_pretrained("mrm8488/flan-t5-small-finetuned-samsum")
+
+model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/flan-t5-small-finetuned-samsum")
+
+
+def predict_sentiment(input: Input):
+    input_ids = tokenizer(input.text, return_tensors="pt").input_ids 
+    outputs = model.generate(input_ids, max_length=30)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+
+iface = gr.Interface(fn=predict_sentiment, inputs="text", outputs="text")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()