ddd
Browse files
app.py
CHANGED
@@ -1,74 +1,36 @@
|
|
1 |
-
import altair
|
2 |
-
|
3 |
import gradio as gr
|
4 |
-
from math import sqrt
|
5 |
import matplotlib
|
6 |
|
7 |
-
matplotlib.use("Agg")
|
8 |
|
9 |
import matplotlib.pyplot as plt
|
10 |
-
import numpy as np
|
11 |
-
import plotly.express as px
|
12 |
-
import pandas as pd
|
13 |
|
14 |
|
15 |
def outbreak(plot_type, r, month, countries, social_distancing):
|
16 |
-
|
17 |
-
m = months.index(month)
|
18 |
-
start_day = 30 * m
|
19 |
-
final_day = 30 * (m + 1)
|
20 |
-
x = np.arange(start_day, final_day + 1)
|
21 |
-
pop_count = {"USA": 350, "Canada": 40, "Mexico": 300, "UK": 120}
|
22 |
-
if social_distancing:
|
23 |
-
r = sqrt(r)
|
24 |
-
df = pd.DataFrame({"day": x})
|
25 |
-
for country in countries:
|
26 |
-
df[country] = x ** (r) * (pop_count[country] + 1)
|
27 |
-
|
28 |
-
if plot_type == "Matplotlib":
|
29 |
-
fig = plt.figure()
|
30 |
-
plt.plot(df["day"], df[countries].to_numpy())
|
31 |
-
plt.title("Outbreak in " + month)
|
32 |
-
plt.ylabel("Cases")
|
33 |
-
plt.xlabel("Days since Day 0")
|
34 |
-
plt.legend(countries)
|
35 |
-
return fig
|
36 |
-
elif plot_type == "Plotly":
|
37 |
-
fig = px.line(df, x="day", y=countries)
|
38 |
-
fig.update_layout(
|
39 |
-
title="Outbreak in " + month,
|
40 |
-
xaxis_title="Cases",
|
41 |
-
yaxis_title="Days Since Day 0",
|
42 |
-
)
|
43 |
-
return fig
|
44 |
-
elif plot_type == "Altair":
|
45 |
-
df = df.melt(id_vars="day").rename(columns={"variable": "country"})
|
46 |
-
fig = altair.Chart(df).mark_line().encode(x="day", y='value', color='country')
|
47 |
-
return fig
|
48 |
-
else:
|
49 |
-
raise ValueError("A plot type must be selected")
|
50 |
|
51 |
|
52 |
inputs = [
|
53 |
gr.Dropdown(["Matplotlib", "Plotly", "Altair"], label="Plot Type"),
|
54 |
-
gr.Slider(1, 4, 3.2, label="R"),
|
55 |
gr.Dropdown(["January", "February", "March", "April", "May"], label="Month"),
|
56 |
-
gr.
|
57 |
-
|
58 |
-
),
|
59 |
-
gr.Checkbox(label="Social Distancing?"),
|
60 |
]
|
61 |
-
outputs =
|
62 |
|
63 |
demo = gr.Interface(
|
64 |
fn=outbreak,
|
65 |
inputs=inputs,
|
66 |
outputs=outputs,
|
67 |
-
examples=[
|
68 |
-
|
69 |
-
|
70 |
-
|
71 |
-
],
|
72 |
cache_examples=True,
|
73 |
)
|
74 |
|
|
|
|
|
|
|
1 |
import gradio as gr
|
|
|
2 |
import matplotlib
|
3 |
|
4 |
+
#matplotlib.use("Agg")
|
5 |
|
6 |
import matplotlib.pyplot as plt
|
7 |
+
# import numpy as np
|
8 |
+
# import plotly.express as px
|
9 |
+
# import pandas as pd
|
10 |
|
11 |
|
12 |
def outbreak(plot_type, r, month, countries, social_distancing):
|
13 |
+
return " 145 Fcfa/ for 2Kg"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
|
15 |
|
16 |
inputs = [
|
17 |
gr.Dropdown(["Matplotlib", "Plotly", "Altair"], label="Plot Type"),
|
|
|
18 |
gr.Dropdown(["January", "February", "March", "April", "May"], label="Month"),
|
19 |
+
gr.Dropdown(["January", "February", "March", "April", "May"], label="Month"),
|
20 |
+
gr.Dropdown(["January", "February", "March", "April", "May"], label="Month"),
|
21 |
+
gr.Dropdown(["January", "February", "March", "April", "May"], label="Month"),
|
|
|
22 |
]
|
23 |
+
outputs = "label"
|
24 |
|
25 |
demo = gr.Interface(
|
26 |
fn=outbreak,
|
27 |
inputs=inputs,
|
28 |
outputs=outputs,
|
29 |
+
# examples=[
|
30 |
+
# ["Matplotlib", 2, "March", ["Mexico", "UK"], True],
|
31 |
+
# ["Altair", 2, "March", ["Mexico", "Canada"], True],
|
32 |
+
# ["Plotly", 3.6, "February", ["Canada", "Mexico", "UK"], False],
|
33 |
+
# ],
|
34 |
cache_examples=True,
|
35 |
)
|
36 |
|