Joseph Spada commited on
Commit
677e6fc
·
1 Parent(s): de22604
Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -88,11 +88,11 @@ def plot_interest_coverage(interest_rate, cagr_revenues, cagr_ssoasdi_revenues):
88
  #data.index.astype(int) < 2025,
89
  #data["Total Revenues"],
90
  #data["Total Revenues"] + (revenues_yearly_increase * (data.index.astype(int) - 2024)))
91
-
92
  # add a projected revenues column
93
  data["Total Revenues (Projected)"] = data["Revenues ex SS OASDI (Projected)"] + data["SS OASDI Revenues (Projected)"]
94
 
95
- print(data.loc[2055, "Total Revenues (Projected)"])
96
 
97
  # add a projected interest / revenues column
98
  data["Net Interest / Revenues (Projected)"] = np.where(
@@ -100,8 +100,8 @@ def plot_interest_coverage(interest_rate, cagr_revenues, cagr_ssoasdi_revenues):
100
  data["Net Interest / Revenues (Baseline)"],
101
  data["Average Rate on Federal Debt (Projected)"] * data["Debt Balance"] / data["Total Revenues (Projected)"])
102
 
103
- print(data.loc[2055, "Net Interest / Revenues (Baseline)"])
104
- print(data.loc[2055, "Net Interest / Revenues (Projected)"])
105
 
106
  # add a projected interest / revenues ex SS OASDI column
107
  data["Net Interest / Revenues ex SS OASDI (Projected)"] = np.where(
@@ -199,7 +199,7 @@ cagr_ssoasdi_revenues_upper_bound = 8
199
 
200
  with gr.Blocks() as interface:
201
  # Create the image output
202
- graph = gr.Image(type="filepath", label = "Graph", value = plot_interest_coverage(baseline_interest_rate, baseline_cagr_revenues))
203
 
204
  # Create the slider input below the image for projected interest rate
205
  interest_rate_slider = gr.Slider(
 
88
  #data.index.astype(int) < 2025,
89
  #data["Total Revenues"],
90
  #data["Total Revenues"] + (revenues_yearly_increase * (data.index.astype(int) - 2024)))
91
+
92
  # add a projected revenues column
93
  data["Total Revenues (Projected)"] = data["Revenues ex SS OASDI (Projected)"] + data["SS OASDI Revenues (Projected)"]
94
 
95
+ #print(data.loc[2055, "Total Revenues (Projected)"])
96
 
97
  # add a projected interest / revenues column
98
  data["Net Interest / Revenues (Projected)"] = np.where(
 
100
  data["Net Interest / Revenues (Baseline)"],
101
  data["Average Rate on Federal Debt (Projected)"] * data["Debt Balance"] / data["Total Revenues (Projected)"])
102
 
103
+ #print(data.loc[2055, "Net Interest / Revenues (Baseline)"])
104
+ #print(data.loc[2055, "Net Interest / Revenues (Projected)"])
105
 
106
  # add a projected interest / revenues ex SS OASDI column
107
  data["Net Interest / Revenues ex SS OASDI (Projected)"] = np.where(
 
199
 
200
  with gr.Blocks() as interface:
201
  # Create the image output
202
+ graph = gr.Image(type="filepath", label = "Graph", value = plot_interest_coverage(baseline_interest_rate, baseline_cagr_revenues, baseline_cagr_ssoasdi_revenues))
203
 
204
  # Create the slider input below the image for projected interest rate
205
  interest_rate_slider = gr.Slider(