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import gradio as gr | |
from transformers import pipeline | |
# Load the AI model | |
model = pipeline("text-generation", model="STEM-AI-mtl/phi-2-electrical-engineering") | |
# Function to process user questions | |
def get_ai_answer(question): | |
response = model(question, max_length=200, do_sample=True) | |
return response[0]["generated_text"] | |
# Gradio UI | |
iface = gr.Interface( | |
fn=get_ai_answer, | |
inputs="text", | |
outputs="text", | |
title="Circuit Debugging AI", | |
description="Ask electrical engineering or circuit debugging questions!" | |
) | |
# Launch | |
iface.launch() | |