App code added

app.py

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+from transformers import AutoTokenizer
+from transformers import pipeline
+import gradio as gr
+
+# Load tokenizer and generator
+tokenizer = AutoTokenizer.from_pretrained('google/mt5-base')
+generator3 = pipeline(model='Suchinthana/MT5-Sinhala-Wikigen-Experimental', tokenizer=tokenizer)
+
+# Define the function for Gradio to use
+def generate_sinhala_text(prompt):
+    generated_text = generator3(prompt, do_sample=True, max_length=50)[0]['generated_text']
+    return generated_text
+
+iface = gr.Interface(
+    fn=generate_sinhala_text, 
+    inputs=gr.inputs.Textbox(), 
+    outputs=gr.outputs.Textbox()
+)
+
+iface.launch()

requirements.txt

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+transformers
+tokenizers
+sentencepiece