personalised

app.py

@@ -1,3 +1,14 @@
 import gradio as gr
 
-gr.load("models/google/flan-t5-large").launch(share=True)
+def my_function(input):
+    # Include your name in the output or any other specific logic you want
+    return f"Processed by Aumkar's model: {input}"
+
+# Load the FLAN-T5 model
+model = gr.load("models/google/flan-t5-large")
+
+# Create an interface with your custom function
+interface = gr.Interface(fn=my_function, inputs="text", outputs="text")
+
+# Launch the interface
+interface.launch(share=True)