artificialguybr commited on
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8ea927a
1 Parent(s): 850424f

Create app.py

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  1. app.py +103 -0
app.py ADDED
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+ import gradio as gr
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+ import os
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+ import openai
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+
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+ # Defina sua chave da API OpenAI
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+ api_key = None
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+
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+ def create_knowledge_graph(user_input):
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+ global api_key
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+ if not api_key:
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+ return "Por favor, insira sua chave da API OpenAI."
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+
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+ # Configurar a chamada para a API OpenAI
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+ openai.api_key = api_key
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+ response = openai.ChatCompletion.create(
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+ model="gpt-3.5-turbo-16k",
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+ messages=[
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+ {
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+ "role": "user",
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+ "content": f"Help me understand following by describing as a detailed knowledge graph: {user_input}",
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+ }
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+ ],
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+ functions=[
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+ {
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+ "name": "knowledge_graph",
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+ "description": "Generate a knowledge graph with entities and relationships...",
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+ "parameters": {
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+ "type": "object",
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+ "properties": {
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+ "metadata": {
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+ "type": "object",
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+ "properties": {
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+ "createdDate": {"type": "string"},
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+ "lastUpdated": {"type": "string"},
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+ "description": {"type": "string"},
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+ },
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+ },
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+ "nodes": {
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+ "type": "array",
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+ "items": {
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+ "type": "object",
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+ "properties": {
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+ "id": {"type": "string"},
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+ "label": {"type": "string"},
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+ "type": {"type": "string"},
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+ "color": {"type": "string"},
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+ "properties": {
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+ "type": "object",
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+ "description": "Additional attributes for the node",
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+ },
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+ },
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+ "required": [
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+ "id",
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+ "label",
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+ "type",
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+ "color",
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+ ],
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+ },
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+ },
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+ "edges": {
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+ "type": "array",
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+ "items": {
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+ "type": "object",
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+ "properties": {
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+ "from": {"type": "string"},
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+ "to": {"type": "string"},
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+ "relationship": {"type": "string"},
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+ "direction": {"type": "string"},
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+ "color": {"type": "string"},
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+ "properties": {
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+ "type": "object",
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+ "description": "Additional attributes for the edge",
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+ },
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+ },
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+ "required": [
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+ "from",
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+ "to",
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+ "relationship",
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+ "color",
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+ ],
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+ },
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+ },
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+ },
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+ "required": ["nodes", "edges"],
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+ },
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+ }
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+ ],
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+ function_call={"name": "knowledge_graph"},
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+ )
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+
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+ response_data = response.choices[0]["message"]["function_call"]["arguments"]
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+ return response_data
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+
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+ # Defina a interface Gradio
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+ iface = gr.Interface(
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+ fn=create_knowledge_graph,
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+ inputs=gr.Textbox("Texto para criar o gráfico de conhecimento:"),
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+ outputs=gr.Image(type="pil"), # Imagem de saída para o gráfico
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+ live=True,
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+ )
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+
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+ if __name__ == "__main__":
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+ iface.launch()