File size: 3,845 Bytes
38167d4 f0f4b86 38167d4 ba3027e 38167d4 ba3027e d6bb045 38167d4 ba3027e 38167d4 ba3027e 38167d4 ba3027e 38167d4 82d483e ba3027e 116ed6e dc9ee8f 116ed6e d6bb045 4392ab5 38167d4 ba3027e 38167d4 ba3027e 38167d4 ba3027e f0f4b86 38167d4 ba3027e 38167d4 ba3027e 38167d4 ba3027e 38167d4 ba3027e 38167d4 ba3027e 38167d4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 |
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.markdown("<h1 style='text-align: center;'>MultiModal Learning for Visual Question Answering using World Knowledge</h1>", unsafe_allow_html=True)
st.write(" ")
st.markdown("<h2 style='text-align: center;'>(Knowledge-Based Visual Question Answering)</h2>", unsafe_allow_html=True)
st.write("""\n\nThis application is an interactive element of the project prepared by [Mohammed H AlHaj](https://www.linkedin.com/in/m7mdal7aj) as part of the dissertation for Masters degree in Artificial Intelligence at the [University of Bath](https://www.bath.ac.uk/) under the supervision of [Mr. Andreas Theophilou](https://researchportal.bath.ac.uk/en/persons/andreas-theophilou).
\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."""
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 the HuggingFace Space file page.")
# Inform users they are leaving the app
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.")
|