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app.py

@@ -26,26 +26,89 @@ def on_btn_click():
 
 
 def main():
-    st.title(" Image Prediction (Computer Vision)")
-    option = st.selectbox(" ImageNet / CoCo", [" ImageNet ", " CoCo"])
-    value = st.slider(" Threshold", min_value=0, max_value=100, value=50, key=57)
+    st.title(" US Real Estate Data and Market Trends")
     (
         col1,
         col2,
     ) = st.columns(2)
     with col1:
-        if st.checkbox(" Remove Noise"):
-            st.write("Checkbox checked!")
+        option = st.selectbox(" Monthly / Weekly", [" Monthly ", " Weekly"])
     with col2:
-        if st.checkbox(" Increase Resolution"):
-            st.write("Checkbox checked!")
-    uploaded_file = st.file_uploader("Choose a file", type=["jpg", "png", "mp3"])
-    if st.button(" Predict"):
-        st.write("Button clicked!")
-    st.subheader(" Original vs Predicted")
-    image_comparison(
-        img1="https://www.imgonline.com.ua/examples/red-yellow-flower.jpg",
-        img2="https://lettatai.sirv.com/imgonline-com-ua-Negative-lYz1br1SWE.jpg",
+        option = st.selectbox(" Current / Historical", [" Current ", " Historical"])
+    (
+        col1,
+        col2,
+    ) = st.columns(2)
+    with col1:
+        option = st.selectbox(" Median / Mean", [" Median ", " Mean"])
+    with col2:
+        option = st.selectbox(" San Francisco", [" San Francisco"])
+    (
+        col1,
+        col2,
+    ) = st.columns(2)
+    with col1:
+        selected_color = st.color_picker(" Choose a palate", "#FF0000")
+    with col2:
+        value = st.slider(" No of colors", min_value=0, max_value=100, value=50, key=70)
+    if st.checkbox(" Show raw data"):
+        st.write("Checkbox checked!")
+    st.subheader(" Global 3D Visualization")
+    st.pydeck_chart(
+        pdk.Deck(
+            map_style=None,
+            initial_view_state=pdk.ViewState(
+                latitude=37.76, longitude=-122.4, zoom=11, pitch=50
+            ),
+            layers=[
+                pdk.Layer(
+                    "HexagonLayer",
+                    data=pd.DataFrame(
+                        np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],
+                        columns=["lat", "lon"],
+                    ),
+                    get_position="[lon, lat]",
+                    radius=200,
+                    elevation_scale=4,
+                    elevation_range=[0, 1000],
+                    pickable=True,
+                    extruded=True,
+                ),
+                pdk.Layer(
+                    "ScatterplotLayer",
+                    data=pd.DataFrame(
+                        np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],
+                        columns=["lat", "lon"],
+                    ),
+                    get_position="[lon, lat]",
+                    get_color="[200, 30, 0, 160]",
+                    get_radius=200,
+                ),
+            ],
+        )
+    )
+    st.subheader(" 2D Visualization")
+    st.altair_chart(
+        alt.Chart(
+            pd.DataFrame(
+                {
+                    "x": np.random.rand(50),
+                    "y": np.random.rand(50),
+                    "size": np.random.randint(10, 100, 50),
+                    "color": np.random.rand(50),
+                }
+            )
+        )
+        .mark_circle()
+        .encode(
+            x="x",
+            y="y",
+            size="size",
+            color="color",
+            tooltip=["x", "y", "size", "color"],
+        )
+        .properties(width=600, height=400),
+        use_container_width=True,
     )