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app.py

@@ -26,89 +26,26 @@ def on_btn_click():
 
 
 def main():
-    st.title(" US Real Estate Data and Market Trends")
+    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)
     (
         col1,
         col2,
     ) = st.columns(2)
     with col1:
-        option = st.selectbox(" Monthly / Weekly", [" Monthly ", " Weekly"])
+        if st.checkbox(" Remove Noise"):
+            st.write("Checkbox checked!")
     with col2:
-        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=5)
-    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,
+        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",
     )