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| import streamlit as st | |
| import pathlib | |
| from PIL import Image | |
| import google.generativeai as genai | |
| # Configure the API key directly in the script | |
| API_KEY = 'YOUR KEY' | |
| genai.configure(api_key=API_KEY) | |
| # Generation configuration | |
| generation_config = { | |
| "temperature": 1, | |
| "top_p": 0.95, | |
| "top_k": 64, | |
| "max_output_tokens": 8192, | |
| "response_mime_type": "text/plain", | |
| } | |
| # Safety settings | |
| safety_settings = [ | |
| {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"}, | |
| {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"}, | |
| {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"}, | |
| {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"}, | |
| ] | |
| # Model name | |
| MODEL_NAME = "gemini-1.5-pro-latest" | |
| # Framework selection (e.g., Tailwind, Bootstrap, etc.) | |
| framework = "Regular CSS use flex grid etc" # Change this to "Bootstrap" or any other framework as needed | |
| # Create the model | |
| model = genai.GenerativeModel( | |
| model_name=MODEL_NAME, | |
| safety_settings=safety_settings, | |
| generation_config=generation_config, | |
| ) | |
| # Start a chat session | |
| chat_session = model.start_chat(history=[]) | |
| # Function to send a message to the model | |
| def send_message_to_model(message, image_path): | |
| image_input = { | |
| 'mime_type': 'image/jpeg', | |
| 'data': pathlib.Path(image_path).read_bytes() | |
| } | |
| response = chat_session.send_message([message, image_input]) | |
| return response.text | |
| # Streamlit app | |
| def main(): | |
| st.title("Gemini 1.5 Pro, Images to Code 👨💻 ") | |
| st.subheader('Made with ❤️ by [KhulnaSoft](https://x.com/khulnasoft)') | |
| uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"]) | |
| if uploaded_file is not None: | |
| try: | |
| # Load and display the image | |
| image = Image.open(uploaded_file) | |
| st.image(image, caption='Uploaded Image.', use_column_width=True) | |
| # Convert image to RGB mode if it has an alpha channel | |
| if image.mode == 'RGBA': | |
| image = image.convert('RGB') | |
| # Save the uploaded image temporarily | |
| temp_image_path = pathlib.Path("temp_image.jpg") | |
| image.save(temp_image_path, format="JPEG") | |
| # Generate UI description | |
| if st.button("Code UI"): | |
| st.write("🧑💻 Looking at your UI...") | |
| prompt = "Describe this UI in accurate details. When you reference a UI element put its name and bounding box in the format: [object name (y_min, x_min, y_max, x_max)]. Also Describe the color of the elements." | |
| description = send_message_to_model(prompt, temp_image_path) | |
| st.write(description) | |
| # Refine the description | |
| st.write("🔍 Refining description with visual comparison...") | |
| refine_prompt = f"Compare the described UI elements with the provided image and identify any missing elements or inaccuracies. Also Describe the color of the elements. Provide a refined and accurate description of the UI elements based on this comparison. Here is the initial description: {description}" | |
| refined_description = send_message_to_model(refine_prompt, temp_image_path) | |
| st.write(refined_description) | |
| # Generate HTML | |
| st.write("🛠️ Generating website...") | |
| html_prompt = f"Create an HTML file based on the following UI description, using the UI elements described in the previous response. Include {framework} CSS within the HTML file to style the elements. Make sure the colors used are the same as the original UI. The UI needs to be responsive and mobile-first, matching the original UI as closely as possible. Do not include any explanations or comments. Avoid using ```html. and ``` at the end. ONLY return the HTML code with inline CSS. Here is the refined description: {refined_description}" | |
| initial_html = send_message_to_model(html_prompt, temp_image_path) | |
| st.code(initial_html, language='html') | |
| # Refine HTML | |
| st.write("🔧 Refining website...") | |
| refine_html_prompt = f"Validate the following HTML code based on the UI description and image and provide a refined version of the HTML code with {framework} CSS that improves accuracy, responsiveness, and adherence to the original design. ONLY return the refined HTML code with inline CSS. Avoid using ```html. and ``` at the end. Here is the initial HTML: {initial_html}" | |
| refined_html = send_message_to_model(refine_html_prompt, temp_image_path) | |
| st.code(refined_html, language='html') | |
| # Save the refined HTML to a file | |
| with open("index.html", "w") as file: | |
| file.write(refined_html) | |
| st.success("HTML file 'index.html' has been created.") | |
| # Provide download link for HTML | |
| st.download_button(label="Download HTML", data=refined_html, file_name="index.html", mime="text/html") | |
| except Exception as e: | |
| st.error(f"An error occurred: {e}") | |
| if __name__ == "__main__": | |
| main() |