Update app.py

app.py

@@ -8,16 +8,14 @@ import torch.nn as nn
 from my_model.object_detection import detect_and_draw_objects
 from my_model.captioner.image_captioning import get_caption
 from my_model.utilities import free_gpu_resources
+from my_model.KBVQA import KBVQA, prepare_kbvqa_model
 
 
 
-# Placeholder for undefined functions
-def load_caption_model():
-    st.write("Placeholder for load_caption_model function")
-    return None, None
+def answer_question(image, question, model):
 
-def answer_question(image, question):
-    return "Placeholder answer for the question"
+    answer = model.generate_answer(question, image):
+    return answer
 
 def get_caption(image):
     return "Generated caption for the image"
@@ -32,18 +30,18 @@ sample_images = ["Files/sample1.jpg", "Files/sample2.jpg", "Files/sample3.jpg",
 
 def run_inference():
     st.title("Run Inference")
-    image_qa_and_object_detection()
 
-def image_qa_and_object_detection():
-    # Image-based Q&A functionality
-    st.subheader("Talk to your image")
-    image_qa_app()
+    # Button to load KBVQA models
+    if st.button('Load KBVQA Models'):
+        # Call the function to load models and show progress
+        kbvqa = prepare_kbvqa_model(your_detection_model)  # Replace with your actual detection model
 
-    # Object Detection functionality
-    st.subheader("Object Detection")
-    object_detection_app()
+        if kbvqa:
+            st.write("Model is ready for inference."
+    image_qa_app(kbvqa)
 
-def image_qa_app():
+
+def image_qa_app(kbvqa):
     # Initialize session state for storing the current image and its Q&A history
     if 'current_image' not in st.session_state:
         st.session_state['current_image'] = None
@@ -76,7 +74,7 @@ def image_qa_app():
         # Get Answer button
         if st.button('Get Answer'):
             # Process the question
-            answer = answer_question(st.session_state['current_image'], question)
+            answer = answer_question(st.session_state['current_image'], question, model=kbvqa)
             st.session_state['qa_history'].append((question, answer))
 
         # Display all Q&A
@@ -84,11 +82,6 @@ def image_qa_app():
             st.text(f"Q: {q}\nA: {a}\n")
             
             
-# Object Detection App
-def object_detection_app():
-    # ... Implement your code for object detection ...
-    pass
-
 # Main function
 def main():
     st.sidebar.title("Navigation")