Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -214,14 +214,15 @@ with gr.Blocks(fill_width=True) as demo:
|
|
214 |
""")
|
215 |
with gr.Row():
|
216 |
with gr.Column(scale=4):
|
217 |
-
|
218 |
-
|
219 |
-
|
220 |
-
|
221 |
-
|
222 |
-
|
223 |
-
|
224 |
-
|
|
|
225 |
|
226 |
T_data_filter = gr.Dropdown(visible=False)
|
227 |
T_tweet_embed = gr.HTML("<h1>Select a Tweet ID to view Tweet</h1>", container=True, every=1.0)
|
|
|
214 |
""")
|
215 |
with gr.Row():
|
216 |
with gr.Column(scale=4):
|
217 |
+
with gr.Group():
|
218 |
+
T_file_input = gr.File(label="Upload CSV or TSV File", file_types=['.tsv', '.csv'])
|
219 |
+
T_text_field = gr.Textbox(label="Text field name", value="tweet_text")
|
220 |
+
T_event_model = gr.Dropdown(event_models, value=event_models[0], label="Select classification model")
|
221 |
+
with gr.Accordion("Prediction threshold", open=False):
|
222 |
+
T_threshold = gr.Slider(0, 1, value=0, step=0.01, label="Prediction threshold", show_label=False,
|
223 |
+
info="This value sets a threshold by which texts classified flood or fire are accepted, \
|
224 |
+
higher values makes the classifier stricter (CAUTION: A value of 1 will set all predictions as none)", interactive=True)
|
225 |
+
T_predict_button = gr.Button("Start Prediction")
|
226 |
|
227 |
T_data_filter = gr.Dropdown(visible=False)
|
228 |
T_tweet_embed = gr.HTML("<h1>Select a Tweet ID to view Tweet</h1>", container=True, every=1.0)
|