Upload 3 files

app.py

@@ -78,7 +78,7 @@ def predict(dataset, text, df, example_index):
     out = out.detach().cpu().numpy()
     out = out*std+mean
 
-    input_dates_series = pd.to_datetime(df["timestamp"])
+    input_dates_series = pd.to_datetime(df["Timestamp"])
     time_diff = input_dates_series.diff().mode()[0]
     start_time = input_dates_series.iloc[-1] + time_diff
     forecast_dates_series = pd.date_range(start=start_time, periods=len(input_dates_series), freq=time_diff)
@@ -107,12 +107,17 @@ def selected_example(evt: gr.SelectData):
 
 def update_time_series_dataframe(dataset, example_index):
     if example_index is None:
-        pass
+        return None, None
     elif example_index == 3: # Custom Input
-        return gr.Dataframe(value=None, datatype="str", label="Time Series Input", interactive=True)
+        return gr.File(label="Time Series CSV File", file_types=[".csv"], visible=True), gr.Dataframe(value=None, datatype="str", label="Time Series Input", interactive=True)
     else:
         df = inputs[dataset][example_index]
-        return gr.Dataframe(value=df, label="Time Series Input", interactive=False)
+        return gr.File(value=None, visible=False), gr.Dataframe(value=df, label="Time Series Input", interactive=False)
+
+def load_csv(file):
+    if file is None:
+        return pd.DataFrame()
+    return pd.read_csv(file.name)
 
 with gr.Blocks() as demo:
     gr.Image(
@@ -120,6 +125,7 @@ with gr.Blocks() as demo:
         show_label=False,
         show_download_button=False,
         show_fullscreen_button=False,
+        show_share_button=False,
         interactive=False,
         height=128,
         container=False,
@@ -146,11 +152,14 @@ with gr.Blocks() as demo:
             example_index = gr.State(value=None)
             example_gallery.select(selected_example, None, example_index)
 
+            time_series_csv = gr.File(label="Time Series CSV File", file_types=[".csv"], visible=False)
             time_series_dataframe = gr.Dataframe(value=None, headers=["Timestamp", "Value"], label="Time Series Input", interactive=False)
 
             dataset_dropdown.change(selected_dataset, inputs=dataset_dropdown, outputs=[example_gallery, dataset_description_textbox])
-            dataset_dropdown.change(update_time_series_dataframe, inputs=[dataset_dropdown, example_index], outputs=time_series_dataframe)
-            example_index.change(update_time_series_dataframe, inputs=[dataset_dropdown, example_index], outputs=time_series_dataframe)
+            dataset_dropdown.change(update_time_series_dataframe, inputs=[dataset_dropdown, example_index], outputs=[time_series_csv, time_series_dataframe])
+            example_index.change(update_time_series_dataframe, inputs=[dataset_dropdown, example_index], outputs=[time_series_csv, time_series_dataframe])
+
+            time_series_csv.change(load_csv, inputs=time_series_csv, outputs=time_series_dataframe)
             
             btn = gr.Button("Run")
         with gr.Column():

example/inputs.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e2c7ada397bda4d8be66a84d12a145283bda4021a0beed57071b53dac67cc907
-size 8919
+oid sha256:8674da75da9912f54d1427e0d52390f44de7507372601d291a5e5e1857806222
+size 8876

example/targets.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2e0f82b9c0e9b1e922043a9cc4588ac4bb0ae298b2accc8fbb1c145b6566a18
-size 8919
+oid sha256:3841703ca636d4bb7a832c5cfc82f3a312bb6718ec11041fbd1ea00b442f0101
+size 8876