<｜begin▁of▁sentence｜>### Instruction:
As a seasoned coffee roaster, you know that precision is key to enhancing the flavor, aroma, and quality of the beans. Now, imagine you're tasked with creating a roast profile for a new blend. To achieve the perfect roast, you need to visualize the trajectory of the roasting curve, akin to plotting the arc of a circle.

You have a sequence of coordinates representing this arc, which essentially outlines how the roast profile should progress over time. To assist in this endeavor, you're looking to utilize Plotly, a powerful plotting library. Your goal is to generate a scatter plot using line segments to approximate the arc, allowing you to visualize the roast profile with accuracy and finesse. 

In this scenario, the arc_points variable contains the coordinates of the arc, guiding you in crafting the ideal roast profile for a truly exceptional coffee blend.
### Response:
import plotly.graph_objects as go

fig = go.Figure()
# Approximate an SVG arc using line segments
arc_points = [(1, 2), (2, 3), (3, 1)]  # Define the points of the arc
fig.add_trace(go.Scatter(x=[pt[0] for pt in arc_points], y=[pt[1] for pt in arc_points], mode='lines+markers'))

fig.show()
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