| import gradio as gr |
| from huggingface_hub import InferenceClient |
| from transformers import pipeline |
| |
| advice_model = InferenceClient("HuggingFaceH4/zephyr-7b-beta") |
| |
| def calculate_advice(food, clothes, utilities): |
| total_expenses = food + clothes + utilities |
| if total_expenses == 0: |
| return "Please enter valid expense values." |
| food_percentage = (food / total_expenses) * 100 |
| clothes_percentage = (clothes / total_expenses) * 100 |
| utilities_percentage = (utilities / total_expenses) * 100 |
| |
| advice_input = [{"role": "user", "content": f"Food: {food_percentage:.2f}%, Clothes: {clothes_percentage:.2f}%, Utilities: {utilities_percentage:.2f}%."}] |
| advice_output = advice_model.chat_completion(advice_input, max_tokens=100) |
| |
| return advice_output.choices[0].message.content |
| with gr.Blocks() as demo: |
| gr.Markdown("## Budget Advisor") |
| food_input = gr.Number(label="Food", value=0) |
| clothes_input = gr.Number(label="Clothes", value=0) |
| utilities_input = gr.Number(label="Utilities", value=0) |
| |
| def update_fields(): |
| additional_expenses.value = add_input_field(additional_expenses.value) |
| return additional_expenses.value |
| |
| advice_button = gr.Button("Advise Me") |
| output_text = gr.Textbox(label="Advice Output", interactive=False) |
| |
| advice_button.click( |
| fn=calculate_advice, |
| inputs=[food_input, clothes_input, utilities_input], |
| outputs=output_text |
| ) |
| |
| if __name__ == "__main__": |
| demo.launch() |
