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Update my_model/utilities/ui_manager.py
Browse files- my_model/utilities/ui_manager.py +114 -26
my_model/utilities/ui_manager.py
CHANGED
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@@ -8,11 +8,23 @@ from my_model.state_manager import StateManager
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from my_model.tabs.dataset_analysis import run_dataset_analyzer
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from my_model.tabs.model_arch import run_model_arch
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class UIManager():
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"""Manages the user interface for the Streamlit application."""
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self.tabs = {
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"Home": self.display_home,
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@@ -28,13 +40,31 @@ class UIManager():
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state_manager.initialize_state()
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"""
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self.tabs[tab_name] = display_function
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def display_sidebar(self):
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"""
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st.sidebar.image("Files/logo.jpg")
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st.sidebar.title("Navigation")
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selection = st.sidebar.radio("Go to", list(self.tabs.keys()), disabled=st.session_state['loading_in_progress'])
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@@ -51,20 +81,40 @@ class UIManager():
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return selection
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def display_selected_page(self, selection):
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"""
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if selection in self.tabs:
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self.tabs[selection]()
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def display_home(self):
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"""
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run_home()
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def display_dataset_analysis(self):
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"""
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st.title("Dataset Analysis")
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st.write("""This page shows an overview of some of the KB-VQA datasets, and various analysis of
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run_dataset_analyzer()
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def display_results(self):
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"""
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st.title("Evaluation Results & Analyses")
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st.write("This page demonstrates the model evaluation results and analyses in an interactive way.")
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@@ -82,8 +139,15 @@ class UIManager():
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run_demo()
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def display_model_arch(self):
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"""
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st.title("Model Architecture")
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st.write("This page shows the detailed Model Architecture.")
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run_model_arch()
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def display_run_inference(self):
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"""
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st.title("Run Inference")
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st.write("""Please note that this is not a general purpose model, it is specifically trained on
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inference_runner.run_inference()
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def display_dissertation_report(self):
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"""
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st.title("Dissertation Report")
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st.write("Click the link below to view the PDF.")
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@@ -118,16 +196,26 @@ class UIManager():
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)
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def display_code(self):
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"""
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st.title("Code")
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st.markdown("You can view the code for this project on HuggingFace Space files page.")
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st.markdown("[View Code](https://huggingface.co/spaces/m7mdal7aj/Mohammed_Alhaj_KB-VQA/tree/main)", unsafe_allow_html=True)
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def display_placeholder(self):
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"""
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st.title("Stay Tuned")
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st.write("This is a Place Holder until the contents are uploaded.")
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from my_model.tabs.dataset_analysis import run_dataset_analyzer
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from my_model.tabs.model_arch import run_model_arch
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class UIManager():
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"""
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Manages the user interface for the Streamlit application.
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This class handles the creation and navigation of various tabs in the Streamlit app. It provides methods to add new
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tabs, display the sidebar, and render the content of the selected tab.
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Attributes:
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tabs (dict): A dictionary mapping tab names to their corresponding display functions.
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"""
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def __init__(self)-> None:
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"""
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Initializes the UIManager with predefined tabs.
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This method sets up the initial tabs for the application and initializes the state manager.
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"""
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self.tabs = {
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"Home": self.display_home,
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state_manager.initialize_state()
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def add_tab(self, tab_name: str, display_function: callable) -> None:
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"""
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Adds a new tab to the UI.
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Args:
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tab_name (str): The name of the new tab.
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display_function (callable): The function to be called when the tab is selected.
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Returns:
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None
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"""
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self.tabs[tab_name] = display_function
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def display_sidebar(self) -> str:
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"""
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Displays the sidebar for navigation.
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This method creates a sidebar with navigation options and returns the user's selection.
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Returns:
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str: The name of the selected tab.
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"""
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st.sidebar.image("Files/logo.jpg")
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st.sidebar.title("Navigation")
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selection = st.sidebar.radio("Go to", list(self.tabs.keys()), disabled=st.session_state['loading_in_progress'])
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return selection
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def display_selected_page(self, selection: str) -> None:
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"""
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Displays the selected page based on the user's choice.
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Args:
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selection (str): The name of the selected tab.
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Returns:
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None
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"""
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if selection in self.tabs:
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self.tabs[selection]()
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def display_home(self) -> None:
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"""
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Displays the Home page of the application.
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Returns:
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None
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"""
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run_home()
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def display_dataset_analysis(self) -> None:
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"""
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Displays the Dataset Analysis page.
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This page provides an overview of various KB-VQA datasets and analyses of the OK-VQA dataset.
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Returns:
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None
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"""
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st.title("Dataset Analysis")
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st.write("""This page shows an overview of some of the KB-VQA datasets, and various analysis of
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run_dataset_analyzer()
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def display_results(self) -> None:
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"""
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Displays the Evaluation Results page.
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This page demonstrates the model evaluation results and analyses in an interactive way.
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Returns:
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None
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"""
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st.title("Evaluation Results & Analyses")
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st.write("This page demonstrates the model evaluation results and analyses in an interactive way.")
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run_demo()
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def display_model_arch(self) -> None:
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"""
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Displays the Model Architecture page.
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This page provides detailed information about the model architecture.
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Returns:
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None
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"""
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st.title("Model Architecture")
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st.write("This page shows the detailed Model Architecture.")
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run_model_arch()
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def display_run_inference(self) -> None:
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"""
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Displays the Run Inference page.
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This page allows users to run inference using the fine-tuned model on the OK-VQA dataset.
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Returns:
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None
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"""
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st.title("Run Inference")
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st.write("""Please note that this is not a general purpose model, it is specifically trained on
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inference_runner.run_inference()
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def display_dissertation_report(self) -> None:
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"""
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Displays the Dissertation Report page.
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This page provides a link to download the dissertation report PDF.
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Returns:
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None
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"""
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st.title("Dissertation Report")
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st.write("Click the link below to view the PDF.")
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)
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def display_code(self) -> None:
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"""
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Displays the Code page with a link to the project's code repository.
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Returns:
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None
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"""
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st.title("Code")
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st.markdown("You can view the code for this project on HuggingFace Space files page.")
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st.markdown("[View Code](https://huggingface.co/spaces/m7mdal7aj/Mohammed_Alhaj_KB-VQA/tree/main)", unsafe_allow_html=True)
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def display_placeholder(self) -> None:
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"""
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Displays a placeholder for future content.
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Returns:
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None
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"""
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st.title("Stay Tuned")
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st.write("This is a Place Holder until the contents are uploaded.")
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