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from GPT4KG import KnowledgeGraph | |
import gradio as gr | |
from PIL import Image | |
def generate_graph(input_text,api_key): | |
try: | |
kg = KnowledgeGraph(api_key,"temp.kg") | |
except: | |
kg = KnowledgeGraph(api_key) | |
kg.learn(str(input_text)) | |
kg.save_graph("temp.kg") | |
kg.display_graph("temp.png") | |
return Image.open("temp.png") | |
def answer_question(question,api_key): | |
try: | |
kg = KnowledgeGraph(api_key,"temp.kg") | |
except: | |
kg = KnowledgeGraph(api_key) | |
return kg.chat_qa(question) | |
title = "GPT-4 Knowledge Graph Generator" | |
description = "Enter text to generate a knowledge graph using GPT4KG:" | |
with gr.Blocks() as demo: | |
with open("temp.kg","w") as f: | |
f.write("") | |
gr.Markdown("""<h1><center>GPT-4 Knowledge Graph Generator</center></h1>""") | |
output_image = gr.Image(label="Knowledge Graph", type="pil") | |
api_key = gr.Textbox(lines=1, label="OpenAI API Key") | |
input_text = gr.Textbox(lines=5, label="Information to be added to graph") | |
submit_btn = gr.Button("Add info to graph") | |
submit_btn.click(fn=generate_graph, inputs=[input_text,api_key], outputs=[output_image]) | |
question = gr.Textbox(lines=1, label="Question about the info in this graph") | |
answer = gr.Textbox(lines=1, label="Answer") | |
qa_btn = gr.Button("Ask question") | |
qa_btn.click(fn=answer_question, inputs=[question,api_key], outputs=[answer]) | |
demo.launch(share=True) |