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| import gradio as gr | |
| with gr.Blocks() as demo: | |
| gr.Markdown("Your coding interview practice AI assistant!") | |
| with gr.Tab("Coding"): | |
| chat_history = gr.State([]) | |
| previous_code = gr.State("") | |
| with gr.Accordion("Settings") as init_acc: | |
| requirements = gr.Textbox( | |
| label="Requirements", | |
| placeholder=( | |
| "Write any requirements here in a plain text: topic, difficulty, complexity, etc. " | |
| "Or keep it blank to just get a random question." | |
| ), | |
| ) | |
| start_btn = gr.Button("Start") | |
| with gr.Accordion("Solution", open=True) as solution_acc: | |
| with gr.Accordion("Problem description", open=True) as solution_acc: | |
| description = gr.Markdown() | |
| with gr.Row() as content: | |
| with gr.Column(scale=2): | |
| code = gr.Code(label="Solution", language="python", lines=20) | |
| message = gr.Textbox(label="text", lines=1) | |
| answer_btn = gr.Button("Send message") | |
| with gr.Column(scale=1): | |
| chat = gr.Chatbot(label="Chat history") | |
| end_btn = gr.Button("Finish the interview") | |
| with gr.Accordion("Feedback", open=True) as feedback_acc: | |
| feedback = gr.Markdown() | |
| demo.launch() | |