update

app.py

@@ -8,22 +8,61 @@ model = Net(100, 50, 10)
 model.load_state_dict(torch.load('model.pth'))
 model.eval()
 
-def infer(file_obj):
-    results = ""
-    for file in file_obj:
-        data = np.load(file.name)
-        output = model(torch.from_numpy(data).float()).detach().numpy()
-        results += np.array_str(output) + "\n"
-    return results
-
-with gr.Blocks("Test") as demo:
-    gr.Markdown("## Test")
-    output = gr.Textbox(label="Output")
-    data = gr.UploadButton(
-        label="Upload a .npy",
-        file_count="multiple", 
-        file_types=[".npy"])
-    data.upload(fn=infer, inputs=data, outputs=output)
+
+
+import plotly.graph_objects as go
+
+def demo_plot(city, facility):
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(x=[0, 1, 2, 3, 4, 5],
+                             y=[1, 3, 2, 3, 1, 4],
+                             mode='lines+markers',
+                             name='City'))
+    fig.add_trace(go.Scatter(x=[0, 1, 2, 3, 4, 5],
+                                y=[2, 5, 3, 1, 4, 2],
+                                mode='lines+markers',
+                                name='Facility'))
+    fig.update_layout(title='City and Facility',
+                        xaxis_title='X',
+                        yaxis_title='Y')
+    return fig
+
+
+# def infer(file_obj):
+#     results = ""
+#     for file in file_obj:
+#         data = np.load(file.name)
+#         output = model(torch.from_numpy(data).float()).detach().numpy()
+#         results += np.array_str(output) + "\n"
+#     return results
+
+
+
+
+# with gr.Blocks("Test") as demo:
+#     gr.Markdown("## Test")
+#     output = gr.Textbox(label="Output")
+#     data = gr.UploadButton(
+#         label="Upload a .npy",
+#         file_count="multiple", 
+#         file_types=[".npy"])
+#     data.upload(fn=infer, inputs=data, outputs=output)
+    
+    
+    
+with gr.Blocks() as demo:
+    with gr.Column():
+        # with gr.Row():
+        #     min_price = gr.Number(value=250, label="Minimum Price")
+        #     max_price = gr.Number(value=1000, label="Maximum Price")
+        city = gr.CheckboxGroup(choices=["New York", "Boston", "Los Angeles", "Chicago"], value=["New York"], label="Select City:")
+        facility = gr.CheckboxGroup(choices=["School", "Hospital", "Park"], value=["Hospital"], label="Select Facility:")
+        btn = gr.Button(value="Generate")
+        map = gr.Plot()
+    demo.load(demo_plot, [city, facility], map)
+    btn.click(demo_plot, [city, facility], map)
+    # demo.load(filter_map, [min_price, max_price, boroughs], map)
+    # btn.click(filter_map, [min_price, max_price, boroughs], map)
 
 if __name__ == "__main__":
     demo.launch()

push.sh

@@ -0,0 +1,3 @@
+git add .
+git commit -m "update"
+git push