freddyaboulton HF Staff commited on
Commit
fd5fed7
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1 Parent(s): 9d16dfe

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -5,7 +5,7 @@ emoji: 🔥
5
  colorFrom: indigo
6
  colorTo: indigo
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  sdk: gradio
8
- sdk_version: 5.49.1
9
  app_file: run.py
10
  pinned: false
11
  hf_oauth: true
 
5
  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
8
+ sdk_version: 6.0.0
9
  app_file: run.py
10
  pinned: false
11
  hf_oauth: true
bar_plot_demo.py CHANGED
@@ -15,14 +15,14 @@ with gr.Blocks() as bar_plots:
15
  temp_sensor_data,
16
  x="time",
17
  y="temperature",
18
- show_export_button=True,
19
  )
20
  temp_by_time_location = gr.BarPlot(
21
  temp_sensor_data,
22
  x="time",
23
  y="temperature",
24
  color="location",
25
- show_export_button=True,
26
  )
27
 
28
  time_graphs = [temp_by_time, temp_by_time_location]
@@ -51,7 +51,7 @@ with gr.Blocks() as bar_plots:
51
  food_rating_data,
52
  x="cuisine",
53
  y="price",
54
- show_export_button=True,
55
  )
56
  with gr.Column(scale=0):
57
  gr.Button("Sort $ > $$$").click(lambda: gr.BarPlot(sort="y"), None, price_by_cuisine)
@@ -64,7 +64,7 @@ with gr.Blocks() as bar_plots:
64
  x="rating",
65
  y="price",
66
  x_bin=1,
67
- show_export_button=True,
68
  )
69
  price_by_rating_color = gr.BarPlot(
70
  food_rating_data,
@@ -73,7 +73,7 @@ with gr.Blocks() as bar_plots:
73
  color="cuisine",
74
  x_bin=1,
75
  color_map={"Italian": "red", "Mexican": "green", "Chinese": "blue"},
76
- show_export_button=True,
77
  )
78
 
79
  if __name__ == "__main__":
 
15
  temp_sensor_data,
16
  x="time",
17
  y="temperature",
18
+ buttons=["export"],
19
  )
20
  temp_by_time_location = gr.BarPlot(
21
  temp_sensor_data,
22
  x="time",
23
  y="temperature",
24
  color="location",
25
+ buttons=["export"],
26
  )
27
 
28
  time_graphs = [temp_by_time, temp_by_time_location]
 
51
  food_rating_data,
52
  x="cuisine",
53
  y="price",
54
+ buttons=["export"],
55
  )
56
  with gr.Column(scale=0):
57
  gr.Button("Sort $ > $$$").click(lambda: gr.BarPlot(sort="y"), None, price_by_cuisine)
 
64
  x="rating",
65
  y="price",
66
  x_bin=1,
67
+ buttons=["export"],
68
  )
69
  price_by_rating_color = gr.BarPlot(
70
  food_rating_data,
 
73
  color="cuisine",
74
  x_bin=1,
75
  color_map={"Italian": "red", "Mexican": "green", "Chinese": "blue"},
76
+ buttons=["export"],
77
  )
78
 
79
  if __name__ == "__main__":
line_plot_demo.py CHANGED
@@ -14,14 +14,14 @@ with gr.Blocks() as line_plots:
14
  temp_sensor_data,
15
  x="time",
16
  y="temperature",
17
- show_export_button=True,
18
  )
19
  temp_by_time_location = gr.LinePlot(
20
  temp_sensor_data,
21
  x="time",
22
  y="temperature",
23
  color="location",
24
- show_export_button=True,
25
  )
26
 
27
  time_graphs = [temp_by_time, temp_by_time_location]
@@ -49,22 +49,26 @@ with gr.Blocks() as line_plots:
49
  food_rating_data,
50
  x="cuisine",
51
  y="price",
52
- show_export_button=True,
53
  )
54
  with gr.Row():
55
  price_by_rating = gr.LinePlot(
56
  food_rating_data,
 
57
  x="rating",
58
  y="price",
59
- show_export_button=True,
 
60
  )
61
  price_by_rating_color = gr.LinePlot(
62
  food_rating_data,
 
63
  x="rating",
64
  y="price",
 
65
  color="cuisine",
66
  color_map={"Italian": "red", "Mexican": "green", "Chinese": "blue"},
67
- show_export_button=True,
68
  )
69
 
70
  if __name__ == "__main__":
 
14
  temp_sensor_data,
15
  x="time",
16
  y="temperature",
17
+ buttons=["export"],
18
  )
19
  temp_by_time_location = gr.LinePlot(
20
  temp_sensor_data,
21
  x="time",
22
  y="temperature",
23
  color="location",
24
+ buttons=["export"],
25
  )
26
 
27
  time_graphs = [temp_by_time, temp_by_time_location]
 
49
  food_rating_data,
50
  x="cuisine",
51
  y="price",
52
+ buttons=["export"],
53
  )
54
  with gr.Row():
55
  price_by_rating = gr.LinePlot(
56
  food_rating_data,
57
+ title="Price by Rating (for Ratings >2)",
58
  x="rating",
59
  y="price",
60
+ x_lim=[2, None],
61
+ buttons=["export"],
62
  )
63
  price_by_rating_color = gr.LinePlot(
64
  food_rating_data,
65
+ title="Price by Rating (for Ratings <4)",
66
  x="rating",
67
  y="price",
68
+ x_lim=[None, 4],
69
  color="cuisine",
70
  color_map={"Italian": "red", "Mexican": "green", "Chinese": "blue"},
71
+ buttons=["export"],
72
  )
73
 
74
  if __name__ == "__main__":
requirements.txt CHANGED
@@ -1,4 +1,4 @@
1
- gradio-client @ git+https://github.com/gradio-app/gradio@e05eb8df38a4ca20993e94ca4e209cf8110bb677#subdirectory=client/python
2
- https://gradio-pypi-previews.s3.amazonaws.com/e05eb8df38a4ca20993e94ca4e209cf8110bb677/gradio-5.49.1-py3-none-any.whl
3
  vega_datasets
4
  pandas
 
1
+ gradio-client @ git+https://github.com/gradio-app/gradio@d007e6cf617baba5c62e49ec2b7ce278aa863a79#subdirectory=client/python
2
+ https://gradio-pypi-previews.s3.amazonaws.com/d007e6cf617baba5c62e49ec2b7ce278aa863a79/gradio-6.0.0-py3-none-any.whl
3
  vega_datasets
4
  pandas
scatter_plot_demo.py CHANGED
@@ -14,14 +14,14 @@ with gr.Blocks() as scatter_plots:
14
  temp_sensor_data,
15
  x="time",
16
  y="temperature",
17
- show_export_button=True,
18
  )
19
  temp_by_time_location = gr.ScatterPlot(
20
  temp_sensor_data,
21
  x="time",
22
  y="temperature",
23
  color="location",
24
- show_export_button=True,
25
  )
26
 
27
  time_graphs = [temp_by_time, temp_by_time_location]
@@ -49,7 +49,7 @@ with gr.Blocks() as scatter_plots:
49
  food_rating_data,
50
  x="cuisine",
51
  y="price",
52
- show_export_button=True,
53
  )
54
  with gr.Row():
55
  price_by_rating = gr.ScatterPlot(
@@ -57,15 +57,14 @@ with gr.Blocks() as scatter_plots:
57
  x="rating",
58
  y="price",
59
  color="wait",
60
- show_actions_button=True,
61
- show_export_button=True,
62
  )
63
  price_by_rating_color = gr.ScatterPlot(
64
  food_rating_data,
65
  x="rating",
66
  y="price",
67
  color="cuisine",
68
- show_export_button=True,
69
  )
70
 
71
  if __name__ == "__main__":
 
14
  temp_sensor_data,
15
  x="time",
16
  y="temperature",
17
+ buttons=["export"],
18
  )
19
  temp_by_time_location = gr.ScatterPlot(
20
  temp_sensor_data,
21
  x="time",
22
  y="temperature",
23
  color="location",
24
+ buttons=["export"],
25
  )
26
 
27
  time_graphs = [temp_by_time, temp_by_time_location]
 
49
  food_rating_data,
50
  x="cuisine",
51
  y="price",
52
+ buttons=["export"],
53
  )
54
  with gr.Row():
55
  price_by_rating = gr.ScatterPlot(
 
57
  x="rating",
58
  y="price",
59
  color="wait",
60
+ buttons=["actions", "export"],
 
61
  )
62
  price_by_rating_color = gr.ScatterPlot(
63
  food_rating_data,
64
  x="rating",
65
  y="price",
66
  color="cuisine",
67
+ buttons=["export"],
68
  )
69
 
70
  if __name__ == "__main__":