Update app.py

app.py

@@ -6,13 +6,11 @@ import os
 # Mock object detection function
 def detect_objects(image):
     st.write("Detecting objects in the image...")
-    # Simulated output
     return ["table", "chair", "lamp"]
 
 # Mock context-aware filter function
 def filter_relevant_objects(detected_objects, setting):
     st.write(f"Filtering relevant objects for setting: {setting}")
-    # Simulated filtering based on setting
     if setting == "indoor":
         return [obj for obj in detected_objects if obj in ["table", "lamp"]]
     return detected_objects
@@ -20,7 +18,6 @@ def filter_relevant_objects(detected_objects, setting):
 # Mock summarization function
 def generate_summary(relevant_objects):
     st.write("Generating summary for relevant objects...")
-    # Simulated summary
     summary = f"This is an {len(relevant_objects)}-item scene including: {', '.join(relevant_objects)}."
     return summary
 
@@ -34,38 +31,30 @@ def text_to_speech(text):
 # Mock GPS navigation function
 def get_distance_to_object(address):
     st.write(f"Calculating distance to address: {address}")
-    # Simulated output
     return "5 km", "15 mins"
 
 # Streamlit app main function
 def main():
     st.title("Context-Aware Object Detection App")
     
-    # Step 1: Capture Image from Camera
     captured_image = st.camera_input("Take a picture")
 
     if captured_image is not None:
-        # Open the captured image
         image = Image.open(captured_image)
         st.image(image, caption="Captured Image", use_column_width=True)
 
-        # Step 2: Detect Objects
         detected_objects = detect_objects(image)
         st.write(f"Detected Objects: {detected_objects}")
 
-        # Step 3: Filter Relevant Objects
         setting = st.selectbox("Select Setting", ["indoor", "outdoor"], index=0)
         relevant_objects = filter_relevant_objects(detected_objects, setting)
         st.write(f"Relevant Objects: {relevant_objects}")
 
-        # Step 4: Generate Summary
         summary = generate_summary(relevant_objects)
         st.write(f"Summary: {summary}")
 
-        # Step 5: Convert Summary to Speech
         text_to_speech(summary)
 
-        # Step 6: GPS Navigation (simulated)
         address = st.text_input("Enter Object's Address", "1600 Amphitheatre Parkway, Mountain View, CA")
         if st.button("Get Distance to Object"):
             distance, duration = get_distance_to_object(address)
@@ -73,3 +62,4 @@ def main():
 
 if __name__ == "__main__":
     main()
+