Updated logic
Browse files
app.py
CHANGED
@@ -90,16 +90,24 @@ if __name__ == '__main__':
|
|
90 |
embeddings = data['embeddings']
|
91 |
filters = data['filters']
|
92 |
|
93 |
-
|
|
|
|
|
94 |
with gr.Row():
|
95 |
with gr.Column(visible=True) as input_col:
|
|
|
|
|
|
|
|
|
|
|
|
|
96 |
query = gr.Textbox(label="What are you looking for?")
|
97 |
number_of_recommendations = gr.Slider(label= "# of Recommendations", minimum=1, maximum=10, value=3, step=1)
|
98 |
genres = gr.Dropdown(label='Genres',multiselect=True,choices=filters['genres'], value=['ALL'])
|
99 |
themes = gr.Dropdown(label='Themes',multiselect=True,choices=filters['themes'], value=['ALL'])
|
100 |
-
rating = gr.Dropdown(label='Rating',multiselect=True,choices=filters['rating'], value=['
|
101 |
-
objective_weight = gr.Slider(label= "Objective Weight", minimum=0, maximum=1, value=.
|
102 |
-
subjective_weight = gr.Slider(label= "Subjective Weight", minimum=0, maximum=1, value=.
|
103 |
submit_btn = gr.Button("Submit")
|
104 |
|
105 |
examples = gr.Examples(
|
|
|
90 |
embeddings = data['embeddings']
|
91 |
filters = data['filters']
|
92 |
|
93 |
+
|
94 |
+
|
95 |
+
with gr.Blocks(theme=gr.themes.Soft(primary_hue='red')) as demo:
|
96 |
with gr.Row():
|
97 |
with gr.Column(visible=True) as input_col:
|
98 |
+
|
99 |
+
gr.Markdown(
|
100 |
+
'''
|
101 |
+
# Welcome to the Nuanced Recommendation System!
|
102 |
+
### This system **combines** both objective (synopsis, episode count, themes) and subjective (user reviews) data, in order to recommend the most approprate anime. Feel free to refine using the **optional** filters below!
|
103 |
+
''')
|
104 |
query = gr.Textbox(label="What are you looking for?")
|
105 |
number_of_recommendations = gr.Slider(label= "# of Recommendations", minimum=1, maximum=10, value=3, step=1)
|
106 |
genres = gr.Dropdown(label='Genres',multiselect=True,choices=filters['genres'], value=['ALL'])
|
107 |
themes = gr.Dropdown(label='Themes',multiselect=True,choices=filters['themes'], value=['ALL'])
|
108 |
+
rating = gr.Dropdown(label='Rating',multiselect=True,choices=filters['rating'], value=['ALL'])
|
109 |
+
objective_weight = gr.Slider(label= "Objective Weight", minimum=0, maximum=1, value=.5, step=.1)
|
110 |
+
subjective_weight = gr.Slider(label= "Subjective Weight", minimum=0, maximum=1, value=.5, step=.1)
|
111 |
submit_btn = gr.Button("Submit")
|
112 |
|
113 |
examples = gr.Examples(
|