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import gradio as gr | |
def predict(*args): | |
pass | |
# markup table for markdown | |
# # Members: | |
# | Students Name | Student ID | | |
# | :--- | :----: | | |
# | Zeel Karshanbhai Sheladiya | 500209119 | | |
# | Ravikumar Chandrakantbhai Patel | 500196861 | | |
# | Dharma Teja Reddy Bandreddi | 500209454 | | |
# | Sai Charan Reddy Meda | 500201602 | | |
# | Aditya Babu | 500209122 | | |
# | Sudip Bhattarai | 500198055 | | |
# | NOMAN FAZAL MUKADAM | 500209115 | | |
# | Leela Prasad Kavuri | 500209550 | | |
# | Vamsi Dasari | 500200775 | | |
with gr.Blocks() as demo: | |
gr.Markdown(""" | |
# Subject: Data Science Project Management and Requirement Gathering 02 (Group 4) | |
[](https://github.com/ravi7522/Football-Prediction) | |
""") | |
with gr.Row(): | |
gr.Label("Football Prediction", container=False) | |
with gr.Row(): | |
with gr.Column(): | |
home_team_id = gr.Dropdown( | |
label="Home Team", | |
choices=["zeel", "Ravi", "Sudip", "sai"], | |
) | |
with gr.Column(): | |
Away_team_id = gr.Dropdown( | |
label="Away Team", | |
choices=["zeel", "Ravi", "Sudip", "sai"], | |
) | |
with gr.Row(): | |
predict_btn = gr.Button(value="Predict") | |
predict_btn.click( | |
predict, | |
inputs=[ | |
# needed parameters | |
], | |
outputs=[], | |
) | |
with gr.Row(): | |
plot = gr.Plot() | |
demo.launch() |