Update app.py

app.py

@@ -661,7 +661,7 @@ def process_image(focal_image, same_brand_files, competitive_brand_files):
     avg_r = visual_features['Average Red']
     avg_g = visual_features['Average Green']
     avg_b = visual_features['Average Blue']
-    visual_complexity = visual_features['Visual Complexity (0 to 1)']
+    visual_complexity = visual_features['Visual Complexity']
 
     # Perform object detection
     object_detection_results = perform_object_detection(focal_image)
@@ -736,14 +736,6 @@ def process_image(focal_image, same_brand_files, competitive_brand_files):
         emo_neutral
     ]
 
-import cv2, requests
-image = cv2.imdecode(np.frombuffer(requests.get("https://github.com/JaidedAI/EasyOCR/raw/master/examples/english.png").content, np.uint8), cv2.IMREAD_COLOR)
-
-image = Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
-image = image.convert('RGB')
-image
-
-process_image(image, None, None)
 
 """#5. Gradio Interface"""
 
@@ -836,7 +828,7 @@ with gr.Blocks() as demo:
         avg_r_output = gr.Textbox(label='Average Red')
         avg_g_output = gr.Textbox(label='Average Green')
         avg_b_output = gr.Textbox(label='Average Blue')
-        visual_complexity_output = gr.Textbox(label='Visual Complexity')
+        visual_complexity_output = gr.Textbox(label='Visual Complexity (0 to 1)')
     gr.Markdown("## Object Detection")
     with gr.Row():
         car_count_output = gr.Textbox(label='Car Count')