Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -102,8 +102,12 @@ The extractive models for this app are using sentence-transformer models, which
|
|
102 |
Use this tab to experiment summarization task of text for different types Abstractive models.""")
|
103 |
with gr.Row():
|
104 |
with gr.Column(scale=4):
|
105 |
-
text_baseline_transformer= gr.TextArea(label="Input text to summarize", placeholder="Input summarization"
|
106 |
-
|
|
|
|
|
|
|
|
|
107 |
with gr.Column(scale=3):
|
108 |
with gr.Row():
|
109 |
num_beams = gr.Slider(minimum=2, maximum=10, value=2, step=1, label="Number of Beams")
|
@@ -118,11 +122,10 @@ The extractive models for this app are using sentence-transformer models, which
|
|
118 |
gr.Markdown("NOTE: First time inference for a new model will take time, since a new model has to downloaded before inference.")
|
119 |
gr.Examples([[abstractive_example_text_1
|
120 |
, 5,25,120, "Gabriel/bart-base-cnn-swe"],
|
121 |
-
[
|
122 |
, 5,25,120, "Gabriel/bart-base-cnn-xsum-swe"]
|
123 |
], [text_baseline_transformer, num_beams, min_len, max_len, model_in])
|
124 |
|
125 |
-
|
126 |
with gr.TabItem("Extractive Ranking Graph for Summarization"):
|
127 |
gr.Markdown(
|
128 |
"""Use this tab to experiment summarization task of text with a graph based method (LexRank).""")
|
|
|
102 |
Use this tab to experiment summarization task of text for different types Abstractive models.""")
|
103 |
with gr.Row():
|
104 |
with gr.Column(scale=4):
|
105 |
+
text_baseline_transformer= gr.TextArea(label="Input text to summarize", placeholder="Input summarization")
|
106 |
+
|
107 |
+
with gr.Row():
|
108 |
+
transformer_button_clear = gr.Button("Clear", variant='secondary')
|
109 |
+
transformer_button = gr.Button("Summarize!", variant='primary')
|
110 |
+
|
111 |
with gr.Column(scale=3):
|
112 |
with gr.Row():
|
113 |
num_beams = gr.Slider(minimum=2, maximum=10, value=2, step=1, label="Number of Beams")
|
|
|
122 |
gr.Markdown("NOTE: First time inference for a new model will take time, since a new model has to downloaded before inference.")
|
123 |
gr.Examples([[abstractive_example_text_1
|
124 |
, 5,25,120, "Gabriel/bart-base-cnn-swe"],
|
125 |
+
[abstractive_example_text_2
|
126 |
, 5,25,120, "Gabriel/bart-base-cnn-xsum-swe"]
|
127 |
], [text_baseline_transformer, num_beams, min_len, max_len, model_in])
|
128 |
|
|
|
129 |
with gr.TabItem("Extractive Ranking Graph for Summarization"):
|
130 |
gr.Markdown(
|
131 |
"""Use this tab to experiment summarization task of text with a graph based method (LexRank).""")
|