Update `app.py`

app.py

@@ -1,7 +1,24 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load the model and tokenizer
+model_name = "silma-ai/SILMA-9B-Instruct-v1.0"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=200, num_return_sequences=1)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="SILMA-9B Instruct",
+    description="Provide a prompt, and the model generates a response."
+)
+
+interface.launch()
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()