colab.ipynb

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   "source": [
    "# colab.ipynb\n",
    "# Import necessary libraries\n",
    "import os\n",
    "import random\n",
    "import ipywidgets as widgets\n",
    "from huggingface_hub import InferenceClient\n",
    "from IPython.display import display, clear_output\n",
    "from img_gen_logic_colab import generate_image, save_image\n",
    "from config_colab import models, prompts, api_token\n",
    "from PIL import Image\n",
    "from google.colab import userdata\n",
    "from datetime import datetime\n",
    "\n",
    "# Initialize the InferenceClient with the default model\n",
    "client = InferenceClient(models[0][\"name\"], token=api_token)\n",
    "\n",
    "# Dropdown menu for model selection\n",
    "model_dropdown = widgets.Dropdown(\n",
    "    options=[(model[\"alias\"], model[\"name\"]) for model in models],\n",
    "    description=\"Select Model:\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Dropdown menu for prompt selection\n",
    "prompt_dropdown = widgets.Dropdown(\n",
    "    options=[(prompt[\"alias\"], prompt[\"text\"]) for prompt in prompts],\n",
    "    description=\"Select Prompt:\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Dropdown menu for team selection\n",
    "team_dropdown = widgets.Dropdown(\n",
    "    options=[\"Red\", \"Blue\"],\n",
    "    description=\"Select Team:\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Input for height\n",
    "height_input = widgets.IntText(\n",
    "    value=360,\n",
    "    description=\"Height:\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Input for width\n",
    "width_input = widgets.IntText(\n",
    "    value=640,\n",
    "    description=\"Width:\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Input for number of inference steps\n",
    "num_inference_steps_input = widgets.IntSlider(\n",
    "    value=20,\n",
    "    min=10,\n",
    "    max=100,\n",
    "    step=1,\n",
    "    description=\"Inference Steps:\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Input for guidance scale\n",
    "guidance_scale_input = widgets.FloatSlider(\n",
    "    value=2,\n",
    "    min=1.0,\n",
    "    max=20.0,\n",
    "    step=0.5,\n",
    "    description=\"Guidance Scale:\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Input for seed\n",
    "seed_input = widgets.IntText(\n",
    "    value=random.randint(0, 1000000),\n",
    "    description=\"Seed:\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Checkbox to randomize seed\n",
    "randomize_seed_checkbox = widgets.Checkbox(\n",
    "    value=True,\n",
    "    description=\"Randomize Seed\",\n",
    "    style={\"description_width\": \"initial\"}\n",
    ")\n",
    "\n",
    "# Text box for custom prompt\n",
    "custom_prompt_input = widgets.Textarea(\n",
    "    value=\"\",\n",
    "    placeholder=\"Enter your custom prompt (up to 200 characters)...\",\n",
    "    description=\"Custom Prompt:\",\n",
    "    style={\"description_width\": \"initial\"},\n",
    "    layout=widgets.Layout(width=\"500px\", height=\"80px\")\n",
    ")\n",
    "\n",
    "# Button to generate image\n",
    "generate_button = widgets.Button(\n",
    "    description=\"Generate Image\",\n",
    "    button_style=\"success\"\n",
    ")\n",
    "\n",
    "# Output area to display the image\n",
    "output = widgets.Output()\n",
    "\n",
    "def on_generate_button_clicked(b):\n",
    "    with output:\n",
    "        clear_output(wait=True)  # Clear previous output\n",
    "\n",
    "        # Get selected values from widgets\n",
    "        selected_prompt = prompt_dropdown.value\n",
    "        selected_team = team_dropdown.value\n",
    "        selected_model = model_dropdown.value\n",
    "        height = height_input.value\n",
    "        width = width_input.value\n",
    "        num_inference_steps = num_inference_steps_input.value\n",
    "        guidance_scale = guidance_scale_input.value\n",
    "        seed = seed_input.value\n",
    "        custom_prompt = custom_prompt_input.value\n",
    "\n",
    "        # Debug: Show selected parameters\n",
    "        print(\"=== Debug: Selected Parameters ===\")\n",
    "        print(f\"Selected Model: {model_dropdown.label}\")\n",
    "        print(f\"Selected Prompt: {prompt_dropdown.label}\")\n",
    "        print(f\"Selected Team: {selected_team}\")\n",
    "        print(f\"Height: {height}\")\n",
    "        print(f\"Width: {width}\")\n",
    "        print(f\"Inference Steps: {num_inference_steps}\")\n",
    "        print(f\"Guidance Scale: {guidance_scale}\")\n",
    "        print(f\"Seed: {seed}\")\n",
    "        print(f\"Custom Prompt: {custom_prompt}\")\n",
    "        print(\"==================================\")\n",
    "\n",
    "        # Generate the image\n",
    "        print(\"=== Debug: Calling generate_image ===\")\n",
    "        image = generate_image(\n",
    "            selected_prompt, selected_team, selected_model, height, width,\n",
    "            num_inference_steps, guidance_scale, seed, custom_prompt, api_token,\n",
    "            randomize_seed=randomize_seed_checkbox.value\n",
    "        )\n",
    "\n",
    "        # Debug: Check the output of generate_image\n",
    "        print(\"=== Debug: generate_image Output ===\")\n",
    "        print(f\"Image: {image}\")\n",
    "        print(\"====================================\")\n",
    "\n",
    "        if isinstance(image, str):\n",
    "            print(\"=== Debug: Error ===\")\n",
    "            print(image)\n",
    "        else:\n",
    "            # Debug: Indicate that the image is being displayed and saved\n",
    "            print(\"=== Debug: Image Generation ===\")\n",
    "            print(\"Image generated successfully!\")\n",
    "            print(\"Displaying image...\")\n",
    "\n",
    "            # Display the image in the notebook\n",
    "            display(image)\n",
    "\n",
    "            # Save the image with a timestamped filename\n",
    "            output_filename = save_image(image, model_dropdown.label, prompt_dropdown.label, selected_team)\n",
    "            print(f\"Image saved as {output_filename}\")\n",
    "            \n",
    "# Attach the button click event handler\n",
    "generate_button.on_click(on_generate_button_clicked)\n",
    "\n",
    "# Display the widgets\n",
    "display(prompt_dropdown, team_dropdown, model_dropdown, custom_prompt_input, generate_button, output)"
   ]
  }
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