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Update app.py
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app.py
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import yaml
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import PyPDF2
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import gradio as gr
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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else:
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return "P3 - Menor"
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# Herramienta para generar resúmenes de reportes de infraestructura
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@tool
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def summarize_report(report_text: str) -> str:
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"""Genera un resumen de un reporte sobre la infraestructura de la plataforma.
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Args:
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report_text: Texto del reporte.
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"""
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api_url = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
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headers = {"Authorization": "Bearer YOUR_HF_API_KEY"}
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payload = {"inputs": report_text}
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response = requests.post(api_url, headers=headers, json=payload)
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if response.status_code == 200:
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return response.json()[0]['summary_text']
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else:
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return "Error al generar el resumen."
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# Herramienta para extraer texto de un archivo PDF y generar un resumen
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@tool
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def summarize_pdf_report(pdf_path: str) -> str:
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"""Extrae texto de un archivo PDF y genera un resumen del contenido.
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Args:
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pdf_path: Ruta al archivo PDF.
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"""
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try:
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with open(pdf_path, "rb") as file:
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reader = PyPDF2.PdfReader(file)
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text = "\n".join([page.extract_text() for page in reader.pages if page.extract_text()])
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return summarize_report(text)
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except Exception as e:
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return f"Error procesando el PDF: {str(e)}"
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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agent = CodeAgent(
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model=model,
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tools=[final_answer, classify_alert
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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description=None,
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prompt_templates=prompt_templates
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)
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def process_pdf(file):
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return summarize_pdf_report(file.name)
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demo = gr.Interface(
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fn=process_pdf,
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inputs=gr.File(label="Sube un archivo PDF"),
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outputs=gr.Textbox(label="Resumen del reporte")
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)
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demo.launch()
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import requests
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yaml
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import gradio as gr
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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else:
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return "P3 - Menor"
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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agent = CodeAgent(
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model=model,
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tools=[final_answer, classify_alert],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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description=None,
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prompt_templates=prompt_templates
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)
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