update

app.py

@@ -4,9 +4,9 @@ import torch
 from model import Net
 
 
-model = Net(100, 50, 10)
-model.load_state_dict(torch.load('model.pth'))
-model.eval()
+# model = Net(100, 50, 10)
+# model.load_state_dict(torch.load('model.pth'))
+# model.eval()
 
 
 
@@ -33,41 +33,41 @@ def demo_plot(city, facility):
 
 
 
-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
+# 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("TTest") as demo:
-    gr.Markdown("## TTest")
-    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("TTest") as demo:
+#     gr.Markdown("## TTest")
+#     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)
+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()