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app.py

@@ -26,79 +26,59 @@ def on_btn_click():
 
 
 def main():
-    st.title(" 3D Visualisation")
-    z_data = pd.read_csv(
-        "https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv"
+    st.title(" Stock Forecasting App")
+    uploaded_file = st.file_uploader("Choose a file", type=["jpg", "png", "mp3"])
+    value = st.slider(
+        " Select Horizon Period", min_value=0, max_value=100, value=50, key=18
     )
-    fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
-    fig.update_layout(
-        title="Mt Bruno Elevation",
-        width=400,
-        height=400,
-        margin=dict(t=40, r=0, l=20, b=20),
+    value = st.slider(" Folds", min_value=0, max_value=100, value=50, key=80)
+    if st.button(" start"):
+        st.write("Button clicked!")
+    st.title(" Training")
+    (
+        col1,
+        col2,
+    ) = st.columns(2)
+    with col1:
+        st.table(
+            {
+                "Country": ["USA", "Canada", "UK", "Australia"],
+                "Population (millions)": [331, 38, 66, 25],
+                "GDP (trillion USD)": [22.675, 1.843, 2.855, 1.488],
+            }
+        )
+    with col2:
+        data = {"key": "value", "name": "John Doe", "age": 30}
+        st.json(data)
+    st.title(" Forecast")
+    (
+        col1,
+        col2,
+    ) = st.columns(2)
+    with col1:
+        st.line_chart(
+            pd.DataFrame(
+                {
+                    "Apple": yf.download("AAPL", start="2023-01-01", end="2023-07-31")[
+                        "Adj Close"
+                    ],
+                    "Google": yf.download(
+                        "GOOGL", start="2023-01-01", end="2023-07-31"
+                    )["Adj Close"],
+                    "Microsoft": yf.download(
+                        "MSFT", start="2023-01-01", end="2023-07-31"
+                    )["Adj Close"],
+                }
+            )
+        )
+    with col2:
+        data = pd.DataFrame(
+            {"X": [1, 2, 3, 4, 5], "Y1": [10, 16, 8, 14, 12], "Y2": [5, 8, 3, 6, 7]}
+        )
+        st.area_chart(data)
+    st.bar_chart(
+        pd.DataFrame(np.random.randn(20, 3), columns=["Apple", "Banana", "Cherry"])
     )
-    name = "default"
-    camera = dict(
-        up=dict(x=0, y=0, z=1),
-        center=dict(x=0, y=0, z=0),
-        eye=dict(x=1.25, y=1.25, z=1.25),
-    )
-    fig.update_layout(scene_camera=camera, title=name)
-    st.plotly_chart(fig)
-    df = px.data.election()
-    geojson = px.data.election_geojson()
-    fig = px.choropleth_mapbox(
-        df,
-        geojson=geojson,
-        color="Bergeron",
-        locations="district",
-        featureidkey="properties.district",
-        center={"lat": 45.5517, "lon": -73.7073},
-        mapbox_style="carto-positron",
-        zoom=9,
-    )
-    st.plotly_chart(fig)
-    fig = make_subplots(
-        rows=2,
-        cols=2,
-        specs=[
-            [{"type": "surface"}, {"type": "surface"}],
-            [{"type": "surface"}, {"type": "surface"}],
-        ],
-    )
-    x = np.linspace(-5, 80, 10)
-    y = np.linspace(-5, 60, 10)
-    xGrid, yGrid = np.meshgrid(y, x)
-    z = xGrid**3 + yGrid**3
-    fig.add_trace(
-        go.Surface(x=x, y=y, z=z, colorscale="Viridis", showscale=False), row=1, col=1
-    )
-    fig.add_trace(
-        go.Surface(x=x, y=y, z=z, colorscale="RdBu", showscale=False), row=1, col=2
-    )
-    fig.add_trace(
-        go.Surface(x=x, y=y, z=z, colorscale="YlOrRd", showscale=False), row=2, col=1
-    )
-    fig.add_trace(
-        go.Surface(x=x, y=y, z=z, colorscale="YlGnBu", showscale=False), row=2, col=2
-    )
-    fig.update_layout(
-        title_text="3D subplots with different colorscales", height=800, width=800
-    )
-    st.plotly_chart(fig)
-    fig = px.scatter_3d(
-        px.data.iris(),
-        x="sepal_length",
-        y="sepal_width",
-        z="petal_width",
-        color="petal_length",
-        size="petal_length",
-        size_max=18,
-        symbol="species",
-        opacity=0.7,
-    )
-    fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))
-    st.plotly_chart(fig)
 
 
 if __name__ == "__main__":