Create app.py

import gradio as gr
from transformers import pipeline

# IBM Granite model
model_name = "ibm-granite/granite-3.2-2b-instruct"
generator = pipeline("text-generation", model=model_name)

def smart_city_assistant(prompt):
response = generator(prompt, max_new_tokens=200, do_sample=True, temperature=0.7)
return response[0]['generated_text']

iface = gr.Interface(
fn=smart_city_assistant,
inputs=gr.Textbox(lines=3, placeholder="Ask about smart city, governance, eco tips..."),
outputs="text",
title="🌱 Sustainable Smart City Assistant",
description="Powered by IBM Granite LLM"
)

iface.launch()

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+# IBM Granite model
+model_name = "ibm-granite/granite-3.2-2b-instruct"
+generator = pipeline("text-generation", model=model_name)
+
+def smart_city_assistant(prompt):
+    response = generator(prompt, max_new_tokens=200, do_sample=True, temperature=0.7)
+    return response[0]['generated_text']
+
+iface = gr.Interface(
+    fn=smart_city_assistant,
+    inputs=gr.Textbox(lines=3, placeholder="Ask about smart city, governance, eco tips..."),
+    outputs="text",
+    title="🌱 Sustainable Smart City Assistant",
+    description="Powered by IBM Granite LLM"
+)
+
+iface.launch()