Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import pipeline
+pipe = pipeline("text2text-generation", model="csebuetnlp/banglat5")
+
+def generate_text(input_text):
+    output = pipe(input_text)
+    return output[0]['generated_text']
+
+iface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.inputs.Textbox(label="Input Text"),
+    outputs=gr.outputs.Textbox(label="Generated Text"),
+    title="Bangla Text Generation",
+    description="Generate text based on the input using the Bangla T5 model."
+)
+if __name__ == "__main__":
+    iface.launch()