Create app.py

app.py

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+import gradio as gr
+from transformers import T5Tokenizer, T5ForConditionalGeneration
+
+tokenizer = T5Tokenizer.from_pretrained("cuneytkaya/fintech-chatbot-t5")
+model = T5ForConditionalGeneration.from_pretrained("cuneytkaya/fintech-chatbot-t5")
+
+def chatbot(input_text):
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model.generate(inputs.input_ids)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+interface = gr.Interface(fn=chatbot, 
+                         inputs="text", 
+                         outputs="text",
+                         title="Fintech Chatbot",
+                         description="This chatbot answers common fintech and banking-related queries.")
+
+interface.launch(share=True)