Update app.py

app.py

@@ -17,7 +17,6 @@ processor = AutoProcessor.from_pretrained("ahmed-masry/ChartInstruct-LLama2")
 @spaces.GPU
 def predict(image, input_text):
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-    model.to(device)
 
     input_prompt = f"<image>\n Question: {input_text} Answer: "
     image = image.convert("RGB")
@@ -39,7 +38,7 @@ def predict(image, input_text):
 image = gr.components.Image(type="pil", label="Chart Image")
 input_prompt = gr.components.Textbox(label="Input Prompt")
 model_output = gr.components.Textbox(label="Model Output")
-examples = [["chart_example_1.png", "What is the share of respondants who prefer Facebook Messenger in the 30-59 age group?"],
+examples = [["chart_example_1.png", "Describe the trend of the mortality rates for children before age 5"],
             ["chart_example_2.png", "What is the share of respondants who prefer Facebook Messenger in the 30-59 age group?"]]
 
 title = "Interactive Gradio Demo for ChartInstruct-Llama2 model"