|
import streamlit as st |
|
import streamlit.components.v1 as components |
|
import pandas as pd |
|
from my_model.tabs.run_inference import InferenceRunner |
|
from my_model.tabs.results import run_demo |
|
from my_model.tabs.home import run_home |
|
from my_model.state_manager import StateManager |
|
from my_model.tabs.dataset_analysis import run_dataset_analyzer |
|
from my_model.tabs.model_arch import run_model_arch |
|
|
|
class UIManager(): |
|
"""Manages the user interface for the Streamlit application.""" |
|
|
|
def __init__(self): |
|
"""Initializes the UIManager with predefined tabs.""" |
|
|
|
self.tabs = { |
|
"Home": self.display_home, |
|
"Dataset Analysis": self.display_dataset_analysis, |
|
"Model Architecture": self.display_model_arch() |
|
"Results": self.display_results, |
|
"Run Inference": self.display_run_inference, |
|
"Dissertation Report": self.display_dissertation_report, |
|
"Code": self.display_code |
|
} |
|
|
|
state_manager = StateManager() |
|
state_manager.initialize_state() |
|
|
|
|
|
def add_tab(self, tab_name, display_function): |
|
"""Adds a new tab to the UI.""" |
|
self.tabs[tab_name] = display_function |
|
|
|
|
|
def display_sidebar(self): |
|
"""Displays the sidebar for navigation.""" |
|
st.sidebar.image("Files/logo.jpg") |
|
st.sidebar.title("Navigation") |
|
selection = st.sidebar.radio("Go to", list(self.tabs.keys()), disabled=st.session_state['loading_in_progress']) |
|
st.sidebar.image("Files/mm.jpeg", use_column_width=True) |
|
st.sidebar.markdown( |
|
""" |
|
<div style="text-align: center;"> |
|
<a href="https://www.linkedin.com/in/m7mdal7aj" style="font-weight: bold; text-decoration: none;">Mohammed H AlHaj</a> |
|
</div> |
|
""", |
|
unsafe_allow_html=True |
|
) |
|
|
|
return selection |
|
|
|
|
|
def display_selected_page(self, selection): |
|
"""Displays the selected page based on user's choice.""" |
|
|
|
if selection in self.tabs: |
|
self.tabs[selection]() |
|
|
|
|
|
def display_home(self): |
|
"""Displays the Home page of the application.""" |
|
|
|
run_home() |
|
|
|
def display_dataset_analysis(self): |
|
"""Displays the Dataset Analysis page.""" |
|
|
|
st.title("Dataset Analysis") |
|
st.write("""This page shows an overview of some of the KB-VQA datasets, and various analysis of |
|
the [OK-VQA Dataset](https://okvqa.allenai.org/) that this KB-VQA model was fine-tuned |
|
and evaluated on.""") |
|
run_dataset_analyzer() |
|
|
|
|
|
def display_results(self): |
|
"""Displays Evaluation Results page.""" |
|
|
|
st.title("Evaluation Results & Analyses") |
|
st.write("This page demonstrates the model evaluation results and analyses in an interactive way.") |
|
st.write("\n") |
|
|
|
run_demo() |
|
|
|
def display_model_arch(self): |
|
"""Displays Model Architecture page.""" |
|
|
|
st.title("Model Architecture") |
|
st.write("This page shows the detailed Model Architecture.") |
|
st.write("\n") |
|
|
|
run_model_arch() |
|
|
|
|
|
def display_run_inference(self): |
|
"""Displays the Run Inference page.""" |
|
|
|
st.title("Run Inference") |
|
st.write("""Please note that this is not a general purpose model, it is specifically trained on |
|
[OK-VQA Dataset](https://okvqa.allenai.org/) and desgined to give short and direct answers to the |
|
given questions about the given image.\n""") |
|
|
|
inference_runner = InferenceRunner() |
|
inference_runner.run_inference() |
|
|
|
|
|
def display_dissertation_report(self): |
|
"""Displays the Dissertation Report page.""" |
|
|
|
st.title("Dissertation Report") |
|
st.write("Click the link below to view the PDF.") |
|
|
|
st.download_button( |
|
label="Download PDF", |
|
data=open("Files/Dissertation Report.pdf", "rb"), |
|
file_name="example.pdf", |
|
mime="application/octet-stream" |
|
) |
|
|
|
|
|
def display_code(self): |
|
"""Displays the Code page with a link to the project's code repository.""" |
|
|
|
st.title("Code") |
|
st.markdown("You can view the code for this project on HuggingFace Space files page.") |
|
st.markdown("[View Code](https://huggingface.co/spaces/m7mdal7aj/Mohammed_Alhaj_KB-VQA/tree/main)", unsafe_allow_html=True) |
|
|
|
|
|
def display_placeholder(self): |
|
"""Displays a placeholder for future content.""" |
|
|
|
st.title("Stay Tuned") |
|
st.write("This is a Place Holder until the contents are uploaded.") |
|
|
