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