Update app.py

app.py

@@ -60,12 +60,8 @@ gemma_3_formatter = MessagesFormatter(
 
 
 # Set the title and description
-title = "Gemma Llama.cpp"
-description = """Google released **[Gemma 3](https://blog.google/technology/developers/gemma-3/)**, a family of multimodal models that offers advanced capabilities like large context and multilingual support.
-This interactive chat interface allows you to experiment with the [`gemma-3-1b-it`](https://huggingface.co/google/gemma-3-1b-it) text model using various prompts and generation parameters.
-Users can select different model variants (GGUF format), system prompts, and observe generated responses in real-time. 
-Key generation parameters, such as ⁣`temperature`, `max_tokens`, `top_k` and others are exposed below for tuning model behavior.
-For a detailed technical walkthrough, please refer to the accompanying **[blog post](https://sitammeur.medium.com/build-your-own-gemma-3-chatbot-with-gradio-and-llama-cpp-46457b22a28e)**."""
+title = "Elisa AI Basic"
+description = """Made with ❤️ by SpriFi"""
 
 
 llm = None
@@ -75,7 +71,7 @@ def respond(
     message: str,
     history: List[Tuple[str, str]],
     model: str = "gemma-3-1b-it-Q4_K_M.gguf",  # Set default model
-    system_message: str = "You are a helpful assistant.",
+    system_message: str = "You are a helpful assistant. Your name is Elisa AI made by SpriFi Inc.",
     max_tokens: int = 1024,
     temperature: float = 0.7,
     top_p: float = 0.95,
@@ -181,7 +177,7 @@ def respond(
 # Create a chat interface
 demo = gr.ChatInterface(
     respond,
-    examples=[["What is the capital of France?"], ["Tell me something about artificial intelligence."], ["What is gravity?"]],
+    examples=[["Explain Quantum Computing"], ["Tell me something about AI."], ["What is gravity?"]],
     additional_inputs_accordion=gr.Accordion(
         label="⚙️ Parameters", open=False, render=False
     ),