Update app.py
Browse files
app.py
CHANGED
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@@ -15,6 +15,154 @@ from spotipy import oauth2
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import heatmap
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PORT_NUMBER = 8080
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SPOTIPY_CLIENT_ID = 'c087fa97cebb4f67b6f08ba841ed8378'
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SPOTIPY_CLIENT_SECRET = 'ae27d6916d114ac4bb948bb6c58a72d9'
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@@ -103,6 +251,8 @@ with gr.Blocks() as demo:
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gr.Markdown("This app analyzes how cool your music taste is. We dare you to take this challenge!")
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with gr.Row():
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get_started_btn = gr.Button("Get Started")
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with gr.Row():
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with gr.Column():
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with gr.Row():
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@@ -126,6 +276,7 @@ with gr.Blocks() as demo:
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)
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demo.load(fn=scatter_plot_fn, outputs=plot)
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demo.load(fn=heatmap_plot_fn, output=hm_plot)
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gradio_app = gr.mount_gradio_app(app, demo, "/gradio")
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import heatmap
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.patches import Circle, RegularPolygon
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from matplotlib.path import Path
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from matplotlib.projections.polar import PolarAxes
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from matplotlib.projections import register_projection
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from matplotlib.spines import Spine
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from matplotlib.transforms import Affine2D
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import matplotlib
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matplotlib.use('SVG')
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def get_features2(spotify):
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features = []
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for index in range(0, 10):
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results = spotify.current_user_saved_tracks(offset=index*50, limit=50)
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track_ids = [item['track']['id'] for item in results['items']]
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features.extend(spotify.audio_features(track_ids))
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df = pd.DataFrame(data=features)
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names = [
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'danceability',
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'energy',
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# 'loudness',
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'speechiness',
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'acousticness',
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'instrumentalness',
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'liveness',
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'valence',
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]
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return names, features_means.values
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def radar_factory(num_vars, frame='circle'):
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"""
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Create a radar chart with `num_vars` axes.
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This function creates a RadarAxes projection and registers it.
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Parameters
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----------
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num_vars : int
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Number of variables for radar chart.
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frame : {'circle', 'polygon'}
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Shape of frame surrounding axes.
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"""
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# calculate evenly-spaced axis angles
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theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False)
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class RadarTransform(PolarAxes.PolarTransform):
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def transform_path_non_affine(self, path):
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# Paths with non-unit interpolation steps correspond to gridlines,
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# in which case we force interpolation (to defeat PolarTransform's
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# autoconversion to circular arcs).
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if path._interpolation_steps > 1:
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path = path.interpolated(num_vars)
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return Path(self.transform(path.vertices), path.codes)
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class RadarAxes(PolarAxes):
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name = 'radar'
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PolarTransform = RadarTransform
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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# rotate plot such that the first axis is at the top
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self.set_theta_zero_location('N')
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def fill(self, *args, closed=True, **kwargs):
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"""Override fill so that line is closed by default"""
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return super().fill(closed=closed, *args, **kwargs)
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def plot(self, *args, **kwargs):
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"""Override plot so that line is closed by default"""
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lines = super().plot(*args, **kwargs)
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for line in lines:
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self._close_line(line)
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def _close_line(self, line):
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x, y = line.get_data()
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# FIXME: markers at x[0], y[0] get doubled-up
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if x[0] != x[-1]:
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x = np.append(x, x[0])
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y = np.append(y, y[0])
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line.set_data(x, y)
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def set_varlabels(self, labels):
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self.set_thetagrids(np.degrees(theta), labels)
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def _gen_axes_patch(self):
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# The Axes patch must be centered at (0.5, 0.5) and of radius 0.5
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# in axes coordinates.
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if frame == 'circle':
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return Circle((0.5, 0.5), 0.5)
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elif frame == 'polygon':
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return RegularPolygon((0.5, 0.5), num_vars,
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radius=.5, edgecolor="k")
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else:
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raise ValueError("Unknown value for 'frame': %s" % frame)
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def _gen_axes_spines(self):
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if frame == 'circle':
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return super()._gen_axes_spines()
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elif frame == 'polygon':
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# spine_type must be 'left'/'right'/'top'/'bottom'/'circle'.
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spine = Spine(axes=self,
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spine_type='circle',
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path=Path.unit_regular_polygon(num_vars))
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# unit_regular_polygon gives a polygon of radius 1 centered at
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# (0, 0) but we want a polygon of radius 0.5 centered at (0.5,
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# 0.5) in axes coordinates.
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spine.set_transform(Affine2D().scale(.5).translate(.5, .5)
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+ self.transAxes)
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return {'polar': spine}
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else:
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raise ValueError("Unknown value for 'frame': %s" % frame)
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register_projection(RadarAxes)
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return theta
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def get_spider_plot(request: gr.Request):
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token = request.request.session.get('token')
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sp = spotipy.Spotify(token)
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names, data = get_features2(sp)
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theta = radar_factory(len(names), frame='polygon')
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fig = plt.figure(figsize=(9, 9))
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ax = fig.add_axes([0, 0, 1, 1], projection='radar')
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# Plot the four cases from the example data on separate axes
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title = 'test'
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ax.set_rgrids([0.2, 0.4, 0.6, 0.8])
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ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),
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horizontalalignment='center', verticalalignment='center')
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ax.plot(theta, data)
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ax.fill(theta, data, alpha=0.25, label='_nolegend_')
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ax.set_varlabels(names)
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return fig
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PORT_NUMBER = 8080
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SPOTIPY_CLIENT_ID = 'c087fa97cebb4f67b6f08ba841ed8378'
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SPOTIPY_CLIENT_SECRET = 'ae27d6916d114ac4bb948bb6c58a72d9'
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gr.Markdown("This app analyzes how cool your music taste is. We dare you to take this challenge!")
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with gr.Row():
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get_started_btn = gr.Button("Get Started")
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with gr.Row():
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spider_plot = gr.Plot()
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with gr.Row():
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with gr.Column():
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with gr.Row():
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)
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demo.load(fn=scatter_plot_fn, outputs=plot)
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demo.load(fn=heatmap_plot_fn, output=hm_plot)
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demo.load(fn=get_spider_plot, outputs=spider_plot)
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gradio_app = gr.mount_gradio_app(app, demo, "/gradio")
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