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| import pandas as pd | |
| import streamlit as st | |
| from my_model.tabs.run_inference import InferenceRunner | |
| 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, | |
| "Finetuning and Evaluation Results": self.display_finetuning_evaluation, | |
| "Run Inference": self.display_run_inference, | |
| "Dissertation Report": self.display_dissertation_report, | |
| "Code": self.display_code, | |
| "More Pages will follow .. ": self.display_placeholder | |
| } | |
| 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.title("Navigation") | |
| selection = st.sidebar.radio("Go to", list(self.tabs.keys())) | |
| 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.""" | |
| st.title('MultiModal Learning for Visual Question Answering using World Knowledge') | |
| st.text('') | |
| st.header('(Knowledge-Based Visual Question Answering)') | |
| st.text('') | |
| st.text('') | |
| st.text('') | |
| st.write("""\n\n\n\nThis is an interactive application developed to demonstrate my project as part of the dissertation for Masters degree in Artificial Intelligence at the [University of Bath](https://www.bath.ac.uk/). | |
| \n\n\nDeveloped by: [Mohammed H AlHaj](https://www.linkedin.com/in/m7mdal7aj) | Dissertation Supervisor: [Andreas Theophilou](https://researchportal.bath.ac.uk/en/persons/andreas-theophilou) | |
| \n\nFurther details will be updated later . .""") | |
| def display_dataset_analysis(self): | |
| """Displays the Dataset Analysis page.""" | |
| st.title("OK-VQA Dataset Analysis") | |
| st.write("This is a Place Holder until the contents are uploaded.") | |
| def display_finetuning_evaluation(self): | |
| """Displays the Finetuning and Evaluation Results page.""" | |
| st.title("Finetuning and Evaluation Results") | |
| st.write("This is a Place Holder until the contents are uploaded.") | |
| 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.") | |
| st.write("\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.") | |
| # Error handling for file access should be considered here | |
| 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_PlayGround/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.") | |