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()
 
 
 
@@ -33,39 +33,39 @@ 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("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("TTest") 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)
+# 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)