Update app.py

app.py

@@ -5,14 +5,8 @@ import time
 from gtts import gTTS
 import os
 
-# Mock function to simulate image capture
-def capture_image():
-    st.write("Simulating image capture...")
-    time.sleep(1)
-    return "sample_image.jpg"  # Replace with actual path to an image file or a placeholder
-
 # Mock object detection function
-def detect_objects(image_path):
+def detect_objects(image):
     st.write("Detecting objects in the image...")
     # Simulated output
     return ["table", "chair", "lamp"]
@@ -49,31 +43,35 @@ def get_distance_to_object(address):
 def main():
     st.title("Context-Aware Object Detection with Hugging Face")
     
-    # Step 1: Capture Image (simulated)
-    image_path = capture_image()
-    st.image(image_path, caption="Captured Image")
+    # Step 1: Upload an Image
+    uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
+
+    if uploaded_file is not None:
+        # Open the uploaded image
+        image = Image.open(uploaded_file)
+        st.image(image, caption="Uploaded Image", use_column_width=True)
 
-    # Step 2: Detect Objects
-    detected_objects = detect_objects(image_path)
-    st.write(f"Detected Objects: {detected_objects}")
+        # 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 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 4: Generate Summary
+        summary = generate_summary(relevant_objects)
+        st.write(f"Summary: {summary}")
 
-    # Step 5: Convert Summary to Speech
-    text_to_speech(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)
-        st.write(f"Distance to Object: {distance}, Duration: {duration}")
+        # 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)
+            st.write(f"Distance to Object: {distance}, Duration: {duration}")
 
 if __name__ == "__main__":
     main()