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| import gradio as gr | |
| import os | |
| # Function for Main content (takes user input and returns a response) | |
| def process_input(user_input): | |
| return f"You entered: {user_input}" | |
| # Function to generate predefined examples | |
| def get_example(): | |
| # Define the path to the 'examples' directory | |
| example_root = os.path.join(os.path.dirname(__file__), "examples") | |
| # Get list of all example text file paths | |
| example_files = [os.path.join(example_root, _) for _ in os.listdir(example_root) if _.endswith("txt")] | |
| # Read the content of each file (assuming they're plain text files) | |
| examples = [] | |
| for file_path in example_files: | |
| example_content = "" | |
| with open(file_path, "r", encoding="utf-8", errors="ignore") as f: | |
| example_content = f.read() | |
| examples.append(example_content) # Append the content to the list | |
| return examples | |
| # Create the header section | |
| def create_header(): | |
| agent_header = """ | |
| # Content Agent | |
| Use content agent to determine whether language is polite by passing it text strings. | |
| Content Agent checks text and classifies it as polite, somewhat polite, neutral, and impolite. | |
| Uses Intel's Polite Guard NLP library | |
| """ | |
| with gr.Row(): | |
| gr.Markdown("<div id='header'>" + agent_header" </div>") | |
| # Create the user guidance section | |
| def create_user_guidance(): | |
| with gr.Row(): | |
| gr.Markdown("<div id='user-guidance'>Please enter text below to get started. Select one of the examples to see the classfication results.</div>") | |
| # Create the main content section | |
| def create_main(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| user_input = gr.Textbox(label="Your Input", placeholder="Enter something here...") | |
| output = gr.Textbox(label="Output", interactive=False) | |
| # move this down to ensure that output it defined | |
| user_input.submit(process_input, inputs=user_input, outputs=output) | |
| return user_input, output # Return both input and output components | |
| # Create the examples section | |
| def create_examples(user_input): | |
| # Fetch examples by calling get_example() here | |
| examples = get_example() | |
| gr.Markdown("<div id='examples'>Try one of these examples:</div>") | |
| # Create a Radio component with the list of examples | |
| example_radio = gr.Radio(choices=examples, label="Select an Example") | |
| # When an example is selected, populate the input field | |
| example_radio.change(fn=lambda example: example, inputs=example_radio, outputs=user_input) | |
| # Create the footer section | |
| def create_footer(): | |
| with gr.Row(): | |
| gr.Markdown("<div id='footer'>Thanks for trying it out!</div>") | |
| # Main function to bring all sections together | |
| def ContentAgentUI(): | |
| # Set the path to the external CSS file | |
| css_path = os.path.join(os.getcwd(), "ui", "styles.css") | |
| with gr.Blocks(css=css_path) as ca_gui: | |
| create_header() # Create the header | |
| create_user_guidance() # Create user guidance section | |
| user_input, output = create_main() # Create the main section (returns the input/output components) | |
| create_examples(user_input) # Create the examples section | |
| create_footer() # Create the footer section | |
| # Launch the Gradio interface | |
| ca_gui.launch() | |