Create app.py

app.py

@@ -0,0 +1,52 @@
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+import numpy as np
+
+import gradio as gr
+
+
+
+title="Financial: THE REAL FUTURE OF THE STOCKS"
+
+
+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(["Google", "Microsoft", "Netflix", "Apple", "Amazon", "Facebook"]):
+        if company in 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, label=company)
+    if show_legend:
+        plt.legend()
+    ax.set_xlabel("Year")
+    ax.set_ylabel("Revenue")
+    ax.set_title("Pricescope Forecast")
+    return fig
+
+
+demo = gr.Interface(
+    plot_forecast,
+    [
+        gr.Radio([2025, 2030, 2035, 2040], label="Project to:"),
+        gr.CheckboxGroup(["Google", "Microsoft", "Netflix","Apple", "Amazon", "Facebook"], 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"),
+    title = title
+)
+
+import gradio as gr
+
+gr.Interface.load("models/runaksh/financial_sentiment_distilBERT")
+
+if __name__ == "__main__":
+    demo.launch()