added requirements and fleshed out UI

app.py

@@ -1,7 +1,26 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load your fine-tuned model from Hugging Face Hub
+model_id = "peterjandre/finetuned-codet5-vbnet-csharp"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Use text2text-generation pipeline (suitable for CodeT5)
+generator = pipeline("text2text-generation", model=model_id)
+
+def generate_code(prompt):
+    if not prompt:
+        return "Please enter a prompt."
+    outputs = generator(prompt, max_length=256, num_return_sequences=1)
+    return outputs[0]['generated_text']
+
+# Build Gradio interface
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=gr.Textbox(lines=5, placeholder="Enter code prompt here..."),
+    outputs="textbox",
+    title="CodeT5 VBNet/C# Code Generator",
+    description="Generate VB.NET or C# code from your prompt using a fine-tuned CodeT5 model."
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+gradio