File size: 2,818 Bytes
38167d4 04e05f4 38167d4 82d483e 846f1f8 57613ba 4392ab5 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 |
import pandas as pd
import streamlit as st
from my_model.tabs.run_inference import run_inference
class UIManager:
def __init__(self):
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):
self.tabs[tab_name] = display_function
def display_sidebar(self):
st.sidebar.title("Navigation")
selection = st.sidebar.radio("Go to", list(self.tabs.keys()))
#st.sidebar.write("More Pages will follow .. ")
return selection
def display_selected_page(self, selection):
if selection in self.tabs:
self.tabs[selection]()
def display_home(self):
st.title("MultiModal Learning for Visual Question Answering using World Knowledge \n(Knowledge-Based Visual Question Answering)")
st.write("""This application is an interactive element of the project prepared by [Mohammed Alhaj](https://www.linkedin.com/in/m7mdal7aj) as part of the dissertation for Masters degree in Artificial Intelligence at the University of Bath 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):
st.title("OK-VQA Dataset Analysis")
st.write("This is a Place Holder until the contents are uploaded.")
def display_finetuning_evaluation(self):
st.title("Finetuning and Evaluation Results")
st.write("This is a Place Holder until the contents are uploaded.")
def display_run_inference(self):
run_inference()
def display_dissertation_report(self):
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):
st.title("Code")
st.markdown("You can view the code for this project on the Hugging Face Space file page.")
st.markdown("[View Code](https://huggingface.co/spaces/m7mdal7aj/Mohammed_Alhaj_PlayGround/tree/main)", unsafe_allow_html=True)
def display_placeholder(self):
st.title("Stay Tuned")
st.write("This is a Place Holder until the contents are uploaded.")
|