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     "text": [
      "Running on local URL:  http://127.0.0.1:7863\n",
      "Running on public URL: https://106ff53aeff217d73d.gradio.live\n",
      "\n",
      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
     ]
    },
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       "<div><iframe src=\"https://106ff53aeff217d73d.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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     "execution_count": 3,
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   ],
   "source": [
    "import os\n",
    "import random\n",
    "import cv2\n",
    "import gradio as gr\n",
    "from PIL import Image\n",
    "import numpy as np\n",
    "\n",
    "def generate_and_delete_word_image(word):\n",
    "    \"\"\"Generates a combined image, displays it, and deletes it afterward.\n",
    "\n",
    "    Args:\n",
    "        word: The user-provided word (uppercase).\n",
    "\n",
    "    Returns:\n",
    "        The image data for displaying.\n",
    "    \"\"\"\n",
    "\n",
    "    dataset_path = \"C:\\DYPIU\\___________________CODE___________________\\Random Word Genrator\\dataset\"  # Adjust for your dataset path\n",
    "\n",
    "    resized_images = []\n",
    "    for letter in word:\n",
    "        letter_folder_path = os.path.join(dataset_path, letter)\n",
    "\n",
    "        # Check if the folder exists\n",
    "        if not os.path.isdir(letter_folder_path):\n",
    "            print(\"Folder not found for the letter:\", letter)\n",
    "            continue\n",
    "\n",
    "        images_in_folder = [img for img in os.listdir(letter_folder_path)\n",
    "                            if img.endswith(\".jpg\") or img.endswith(\".png\")]\n",
    "\n",
    "        if not images_in_folder:\n",
    "            print(\"No images found for the letter:\", letter)\n",
    "            continue\n",
    "\n",
    "        # Randomly select an image from the folder\n",
    "        random_image_name = random.choice(images_in_folder)\n",
    "        image_path = os.path.join(letter_folder_path, random_image_name)\n",
    "\n",
    "        try:\n",
    "            # Load image using PIL, ensuring RGB mode\n",
    "            image = Image.open(image_path).convert(\"RGB\")\n",
    "            # Convert to NumPy array for OpenCV\n",
    "            resized_image = np.array(image.resize((250, 250)))\n",
    "        except Exception as e:\n",
    "            print(f\"Error loading image: {e}\")\n",
    "            continue\n",
    "\n",
    "        resized_images.append(resized_image)\n",
    "\n",
    "    if not resized_images:\n",
    "        print(\"No images found for the input word.\")\n",
    "        return None\n",
    "\n",
    "    concatenated_image = cv2.hconcat(resized_images)\n",
    "\n",
    "    # Display the concatenated image\n",
    "    # cv2.imshow(\"Concatenated Image\", concatenated_image)\n",
    "    # cv2.waitKey(0)\n",
    "    # cv2.destroyAllWindows()\n",
    "\n",
    "    # Return the image data\n",
    "    return concatenated_image\n",
    "\n",
    "# Gradio interface with clear explanations\n",
    "interface = gr.Interface(\n",
    "    fn=generate_and_delete_word_image,\n",
    "    inputs=\"text\",  # User input for the word\n",
    "    outputs=\"image\",  # Output as an image\n",
    "    title=\"Random Word Image Generator\",\n",
    "    description=\"Enter a word (uppercase letters only) to generate a combined image using random letters from the dataset. The image will be displayed below.\",\n",
    "    \n",
    "    \n",
    "    css=\"\"\"\n",
    "      body {\n",
    "        background-color: white;\n",
    "        font-family: Arial, sans-serif;\n",
    "      }\n",
    "      .gr-interactive-component h1 {\n",
    "        font-size: 20px;\n",
    "        margin-bottom: 10px;\n",
    "      }\n",
    "    \"\"\",\n",
    "    \n",
    ")\n",
    "\n",
    "\n",
    "interface.launch(share=True)  # Launch the Gradio interface and share it publicly\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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