Update app.py

app.py

@@ -6,7 +6,6 @@ from PIL import Image
 from collections import deque
 import numpy as np
 
-# Load BLIP model for English captioning
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
 model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
 detect_model = YOLO('yolov5s.pt')
@@ -27,14 +26,6 @@ custom_css = """
     font-size: 19px;
     margin: 14px 0 22px 0;
 }
-#main-card {
-    max-width: 600px;
-    margin: auto;
-    background: #252933;
-    border-radius: 16px;
-    box-shadow: 0 5px 24px #0002;
-    padding: 28px 35px;
-}
 #generate-btn {
     background: linear-gradient(90deg, #31b2fd 0%, #98f972 100%);
     color: white;
@@ -60,17 +51,6 @@ custom_css = """
     background: #23262e !important;
     border-radius: 10px !important;
 }
-.copy-btn-table {
-    background: #252c37;
-    color: #75e39e;
-    border: none;
-    border-radius: 7px;
-    padding: 5px 15px;
-    font-size: 15px;
-    font-weight: bold;
-    margin-left: 10px;
-    transition: background 0.2s;
-}
 """
 
 def preprocess_image(image):
@@ -101,12 +81,8 @@ def generate_caption(image):
     return combined_text
 
 def build_history_table():
-    # Table: one row per caption text, with copy button in second column
-    headers = ["Past Outputs", "Action"]
-    data = []
-    for t in reversed(last_texts):  # latest on top
-        copy_btn = gr.Button("Copy", elem_classes="copy-btn-table")
-        data.append([t, copy_btn])
+    headers = ["Past Outputs (Click text to copy)"]
+    data = [[text] for text in reversed(last_texts)]
     return headers, data
 
 with gr.Blocks(css=custom_css) as iface:
@@ -120,28 +96,26 @@ with gr.Blocks(css=custom_css) as iface:
         '📜 <i>Last 15 results are stored for you.</i>'
         '</div>'
     )
-    with gr.Box(elem_id="main-card"):
-        image_input = gr.Image(type="pil", label="Upload Image")
-        generate_btn = gr.Button("⭐ Generate Caption", elem_id="generate-btn")
-        caption_output = gr.Textbox(label="📝 Caption and Detected Objects", lines=5, interactive=True, elem_classes="label-copyable")
-        history_table = gr.Dataframe(
-            headers=["Past Outputs", "Action"],
-            datatype=["str", "str"],
-            interactive=True,
-            row_count=(0, MEMORY_SIZE),
-            col_count=2,
-            wrap=True
-        )
+
+    # Main panel (no gr.Box; just direct)
+    image_input = gr.Image(type="pil", label="Upload Image")
+    generate_btn = gr.Button("⭐ Generate Caption", elem_id="generate-btn")
+    caption_output = gr.Textbox(label="📝 Caption and Detected Objects", lines=5, interactive=True, elem_classes="label-copyable")
+    history_table = gr.Dataframe(
+        headers=["Past Outputs (Click text to copy)"],
+        datatype=["str"],
+        interactive=True,
+        row_count=(0, MEMORY_SIZE),
+        col_count=1,
+        wrap=True,
+    )
 
     def on_generate(image):
         if image is None:
-            return "Please upload an image.", (["Past Outputs", "Action"], [])
+            return "Please upload an image.", (["Past Outputs (Click text to copy)"], [])
         combined = generate_caption(image)
         headers, data = build_history_table()
-        return combined, (headers, [[row[0], "Copy"] for row in data])
-
-    def copy_output(text):
-        return gr.Textbox.update(value=text, interactive=True)
+        return combined, (headers, data)
 
     generate_btn.click(
         fn=on_generate,
@@ -149,7 +123,5 @@ with gr.Blocks(css=custom_css) as iface:
         outputs=[caption_output, history_table]
     )
 
-    # The table cells are interactive; for a real "copy" button, use browser clipboard JS if needed
-
 if __name__ == "__main__":
     iface.launch()