Spaces:
Sleeping
Sleeping
Update my_model/utilities/st_utils.py
Browse files- my_model/utilities/st_utils.py +42 -54
my_model/utilities/st_utils.py
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@@ -1,6 +1,8 @@
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import streamlit as st
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from my_model.tabs.run_inference import run_inference
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class UIManager:
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def __init__(self):
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self.tabs = {
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@@ -40,7 +42,6 @@ class UIManager:
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st.write("This is a Place Holder until the contents are uploaded.")
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def display_run_inference(self):
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run_inference()
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def display_dissertation_report(self):
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@@ -67,61 +68,48 @@ class UIManager:
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class StateManager:
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def __init__(self):
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self.reset_state()
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def reset_state(self):
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"""Resets the state to its initial values."""
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self.current_image = None
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self.qa_history = []
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self.analysis_done = False
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self.answer_in_progress = False
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self.caption = ""
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self.detected_objects_str = ""
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def set_current_image(self, image):
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"""Sets the current image and resets relevant state variables."""
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try:
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self.current_image = image
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self.qa_history = []
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self.analysis_done = False
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self.answer_in_progress = False
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self.caption = ""
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self.detected_objects_str = ""
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except Exception as e:
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print(f"Error setting current image: {e}")
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def add_to_qa_history(self, question, answer):
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"""Adds a question-answer pair to the history."""
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if question and answer:
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self.qa_history.append((question, answer))
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else:
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print("Invalid question or answer. Cannot add to history.")
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def set_analysis_done(self, status=True):
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"""Sets the analysis status."""
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self.analysis_done = status
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def set_answer_in_progress(self, status=True):
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"""Sets the answer in progress status."""
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self.answer_in_progress = status
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def set_caption(self, caption):
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"""Sets the image caption."""
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if caption:
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self.caption = caption
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else:
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print("Invalid caption. Cannot set caption.")
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def set_detected_objects_str(self, detected_objects_str):
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"""Sets the detected objects string."""
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if detected_objects_str:
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self.detected_objects_str = detected_objects_str
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else:
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print("Invalid detected objects string. Cannot set detected objects.")
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import pandas as pd
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import streamlit as st
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from my_model.tabs.run_inference import run_inference
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class UIManager:
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def __init__(self):
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self.tabs = {
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st.write("This is a Place Holder until the contents are uploaded.")
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def display_run_inference(self):
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run_inference()
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def display_dissertation_report(self):
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class StateManager:
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def __init__(self):
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self.initialize_state()
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def initialize_state(self):
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if 'images_data' not in st.session_state:
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st.session_state['images_data'] = {}
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if 'model_settings' not in st.session_state:
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st.session_state['model_settings'] = {'detection_model': None, 'confidence_level': None}
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if 'kbvqa' not in st.session_state:
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st.session_state['kbvqa'] = None
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if 'selected_method' not in st.session_state:
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st.session_state['selected_method'] = None
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def update_model_settings(self, detection_model=None, confidence_level=None, selected_method=None):
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if detection_model is not None:
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st.session_state['model_settings']['detection_model'] = detection_model
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if confidence_level is not None:
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st.session_state['model_settings']['confidence_level'] = confidence_level
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if selected_method is not None:
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st.session_state['selected_method'] = selected_method
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def check_settings_changed(self, current_detection_model, current_confidence_level):
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return (st.session_state['model_settings']['detection_model'] != current_detection_model or
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st.session_state['model_settings']['confidence_level'] != current_confidence_level)
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def display_model_settings(self):
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st.write("### Current Model Settings:")
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st.table(pd.DataFrame(st.session_state['model_settings'], index=[0]))
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def display_session_state(self):
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st.write("### Current Session State:")
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data = [{'Key': key, 'Value': str(value)} for key, value in st.session_state.items()]
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df = pd.DataFrame(data)
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st.table(df)
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