Update app.py

app.py

@@ -1,3 +1,22 @@
 import gradio as gr
+from transformers import AutoTokenizer, TFAutoModelForSeq2SeqLM
 
-gr.Interface.load("models/MahmoudH/t5-v1_1-base-finetuned-sci_summ").launch()
+tokenizer = AutoTokenizer.from_pretrained("MahmoudH/t5-v1_1-base-finetuned-sci_summ")
+model = TFAutoModelForSeq2SeqLM.from_pretrained("MahmoudH/t5-v1_1-base-finetuned-sci_summ")
+
+def predict(text):
+    tokenized_inputs = tokenizer([text])
+    output = model.generate(
+        input_ids=tokenized_inputs["input_ids"],
+        attention_mask=tokenized_inputs["attention_mask"],
+        max_new_tokens=256,
+        num_beams=2,
+        do_sample=True
+    )
+    summary = tokenizer.batch_decode(output, skip_special_tokens=True)[0]
+    return summary
+
+input_box = gr.Textbox(label="Input")
+output_box = gr.Textbox(label="Summary")
+
+gr.Interface(fn=predict, inputs=input_box, outputs=output_box).launch()