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app.py

@@ -26,42 +26,15 @@ def on_btn_click():
 
 
 def main():
-    st.write("Hello, world!")
-    st.header(" Al Generated this app - spotify recommendations")
-    st.subheader(" this application contains the auto generated layout")
-    (
-        col1,
-        col2,
-    ) = st.columns(2)
-    with col1:
-        st.write("Hello, world!")
-    with col2:
-        option = st.selectbox(
-            " gender / male / female", [" gender ", " male ", " female"]
-        )
-    (
-        col1,
-        col2,
-    ) = st.columns(2)
-    with col1:
-        value = st.slider(
-            " max predictions", min_value=0, max_value=100, value=50, key=39
-        )
-    with col2:
-        value = st.slider(
-            " num categories", min_value=0, max_value=100, value=50, key=81
-        )
-    (
-        col1,
-        col2,
-    ) = st.columns(2)
-    with col1:
-        option = st.radio("Choose an option:", ["Option 1", "Option 2", "Option 3"])
-    with col2:
-        if st.checkbox("Check me"):
-            st.write("Checkbox checked!")
-    if st.button(" generate recommendations"):
+    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=69
+    )
+    value = st.slider(" Folds", min_value=0, max_value=100, value=50, key=17)
+    if st.button(" start"):
         st.write("Button clicked!")
+    st.title(" Training")
     (
         col1,
         col2,
@@ -75,6 +48,14 @@ def main():
             }
         )
     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(
                 {
@@ -90,72 +71,14 @@ def main():
                 }
             )
         )
-    (
-        col1,
-        col2,
-    ) = st.columns(2)
-    with col1:
+    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)
-    with col2:
-        st.bar_chart(
-            pd.DataFrame(np.random.randn(20, 3), columns=["Apple", "Banana", "Cherry"])
-        )
-    (
-        col1,
-        col2,
-    ) = st.columns(2)
-    with col1:
-        st.write("Hello, world!")
-    with col2:
-        df = px.data.gapminder().query("year == 2007").query("continent == 'Americas'")
-        fig = px.pie(
-            df,
-            values="pop",
-            names="country",
-            title="Population of American continent",
-            hover_data=["lifeExp"],
-            labels={"lifeExp": "life expectancy"},
-        )
-        fig.update_traces(textposition="inside", textinfo="percent+label")
-        st.plotly_chart(fig)
-    source = vds.cars()
-    chart = {
-        "mark": "point",
-        "encoding": {
-            "x": {"field": "Horsepower", "type": "quantitative"},
-            "y": {"field": "Miles_per_Gallon", "type": "quantitative"},
-            "color": {"field": "Origin", "type": "nominal"},
-            "shape": {"field": "Origin", "type": "nominal"},
-        },
-    }
-    tab1, tab2 = st.tabs(["Streamlit theme (default)", "Vega-Lite native theme"])
-    with tab1:
-        st.vega_lite_chart(source, chart, theme="streamlit", use_container_width=True)
-    with tab2:
-        st.vega_lite_chart(source, chart, theme=None, use_container_width=True)
-    (
-        col1,
-        col2,
-    ) = st.columns(2)
-    with col1:
-        st.video("https://www.youtube.com/watch?v=50hVvC7gMR8&t=5s", format="video/mp4")
-    with col2:
-        st.image(
-            "https://assets-global.website-files.com/59e16042ec229e00016d3a66/6441d5f76d21e1e4dee9ffa2_Gen%20AI%20blog_Blog%20hero.png",
-            caption="Image Caption",
-        )
-    st.plotly_chart(
-        ff.create_distplot(
-            [np.random.randn(200) - 2, np.random.randn(200), np.random.randn(200) + 2],
-            ["Negative Shift", "Normal", "Positive Shift"],
-            bin_size=[0.1, 0.25, 0.5],
-        ),
-        use_container_width=True,
+    st.bar_chart(
+        pd.DataFrame(np.random.randn(20, 3), columns=["Apple", "Banana", "Cherry"])
     )
-    st.header(" auto generated by sketch2streamiit")
 
 
 if __name__ == "__main__":