| license: mit | |
| import gradio as gr | |
| import json | |
| # Ngarko dataset | |
| with open("dataset.json", "r") as f: | |
| data = json.load(f) | |
| def get_recommendation(question): | |
| question_lower = question.lower() | |
| for item in data: | |
| if item["input"].lower() in question_lower: | |
| return item["output"] | |
| return "Ideja nuk u gjet në dataset. Provo pyetje tjetër 😊" | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## 🌟 Super AGI Minimal Demo") | |
| inp = gr.Textbox(label="Fut pyetjen tënde") | |
| out = gr.Textbox(label="Rekomandimi") | |
| btn = gr.Button("Merr rekomandim") | |
| btn.click(get_recommendation, inputs=inp, outputs=out) | |
| demo.launch() |