Update app.py
Browse files
app.py
CHANGED
@@ -92,7 +92,7 @@ def image_qa_app(kbvqa):
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st.session_state['answer_in_progress'] = True
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answer = answer_question(st.session_state['processed_image'], question, model=kbvqa)
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st.session_state['qa_history'].append((question, answer))
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# Display all Q&A
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for q, a in st.session_state['qa_history']:
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@@ -117,17 +117,7 @@ def run_inference():
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index=0 # Default to the first option
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)
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# Set default confidence based on the selected model
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default_confidence = 0.2 if detection_model == "yolov5" else 0.4
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# Slider for confidence level
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confidence_level = st.slider(
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"Select Detection Confidence Level",
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min_value=0.1,
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max_value=0.9,
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value=default_confidence,
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step=0.1
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)
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@@ -152,7 +142,22 @@ def run_inference():
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image_qa_app(st.session_state['kbvqa'])
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else:
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st.write('
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# Main function
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st.session_state['answer_in_progress'] = True
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answer = answer_question(st.session_state['processed_image'], question, model=kbvqa)
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st.session_state['qa_history'].append((question, answer))
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+
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# Display all Q&A
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for q, a in st.session_state['qa_history']:
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index=0 # Default to the first option
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)
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image_qa_app(st.session_state['kbvqa'])
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else:
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st.write(f'{method} model is not ready for inference yet')
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# Set default confidence based on the selected model
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default_confidence = 0.2 if detection_model == "yolov5" else 0.4
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# Slider for confidence level
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confidence_level = st.slider(
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"Select Detection Confidence Level",
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min_value=0.1,
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max_value=0.9,
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value=default_confidence,
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step=0.1
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)
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st.session_state['kbvqa'].detection_confidence = confidence_level
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# Main function
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