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README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Stock Forecast Main
-emoji: 💻
-colorFrom: yellow
-colorTo: yellow
+title: stock_forecast_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 3.6
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+numpy
+matplotlibhttps://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl

run.py

@@ -0,0 +1,39 @@
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+import numpy as np
+
+import gradio as gr
+
+
+def plot_forecast(final_year, companies, noise, show_legend, point_style):
+    start_year = 2020
+    x = np.arange(start_year, final_year + 1)
+    year_count = x.shape[0]
+    plt_format = ({"cross": "X", "line": "-", "circle": "o--"})[point_style]
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+    for i, company in enumerate(companies):
+        series = np.arange(0, year_count, dtype=float)
+        series = series**2 * (i + 1)
+        series += np.random.rand(year_count) * noise
+        ax.plot(x, series, plt_format)
+    if show_legend:
+        plt.legend(companies)
+    return fig
+
+
+demo = gr.Interface(
+    plot_forecast,
+    [
+        gr.Radio([2025, 2030, 2035, 2040], label="Project to:"),
+        gr.CheckboxGroup(["Google", "Microsoft", "Gradio"], label="Company Selection"),
+        gr.Slider(1, 100, label="Noise Level"),
+        gr.Checkbox(label="Show Legend"),
+        gr.Dropdown(["cross", "line", "circle"], label="Style"),
+    ],
+    gr.Plot(label="forecast"),
+)
+
+if __name__ == "__main__":
+    demo.launch()