Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+model_name = "google/gemma-2b-it"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(user_input, history=[]):
+    prompt = f"<start_of_turn>user\n{user_input}<end_of_turn>\n<start_of_turn>model\n"
+    result = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7)
+    response = result[0]["generated_text"].split("<start_of_turn>model\n")[-1].strip()
+    history.append((user_input, response))
+    return history, history
+
+gr.ChatInterface(
+    fn=chat,
+    title="🤖 Mobe 2.0 - Your Personal AI",
+    description="Welcome to Mobe 2.0 – Powered by Gemma 2B | Developed by Ronobir",
+    theme="soft",
+    examples=["তুমি কে?", "Python দিয়ে কিভাবে ফাংশন বানায়?", "AI কীভাবে কাজ করে?"]
+).launch()