Upload app.py

app.py

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+import gradio as gr
+from datetime import datetime
+from reportlab.lib.pagesizes import A4
+from reportlab.pdfgen import canvas
+from transformers import pipeline
+
+# Load AI dari Hugging Face
+ai_assistant = pipeline(
+    "text-generation",
+    model="mistralai/Mistral-7B-Instruct-v0.2",
+    device_map="auto"
+)
+
+def qc_ai_recommendation(job_type, notes):
+    prompt = f"""
+    Saya adalah Quality Control di proyek konstruksi. Jenis pekerjaan: {job_type}. 
+    Catatan hasil inspeksi: {notes}.
+    Berikan saran teknis perbaikan atau tindak lanjut yang jelas.
+    """
+    result = ai_assistant(prompt, max_length=250, do_sample=True)[0]['generated_text']
+    return result
+
+def generate_qc_report(project_name, location, job_type, quality_status, notes):
+    ai_suggestion = qc_ai_recommendation(job_type, notes)
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    report_text = f"""
+    QC REPORT
+    ---------------------------
+    Nama Proyek    : {project_name}
+    Lokasi         : {location}
+    Jenis Pekerjaan: {job_type}
+    Status Mutu    : {quality_status}
+    Catatan        : {notes}
+    Rekomendasi AI : {ai_suggestion}
+    Waktu Inspeksi : {timestamp}
+    """
+
+    pdf_filename = "/tmp/qc_report.pdf"
+    c = canvas.Canvas(pdf_filename, pagesize=A4)
+    text = c.beginText(50, 800)
+    for line in report_text.strip().split('\n'):
+        text.textLine(line)
+    c.drawText(text)
+    c.save()
+
+    return ai_suggestion, pdf_filename
+
+with gr.Blocks() as app:
+    gr.Markdown("# 🏗️ QC Agent — Integrasi AI Rekomendasi Perbaikan")
+
+    with gr.Row():
+        project_name = gr.Textbox(label="Nama Proyek")
+        location = gr.Textbox(label="Lokasi Proyek")
+
+    job_type = gr.Textbox(label="Jenis Pekerjaan")
+    quality_status = gr.Radio(["Lulus", "Tidak Lulus"], label="Status Mutu")
+    notes = gr.Textbox(label="Catatan Tambahan", lines=3)
+
+    ai_output = gr.Textbox(label="💡 Rekomendasi AI", lines=5)
+    output_pdf = gr.File(label="📥 Download Laporan PDF")
+
+    submit = gr.Button("🚀 Generate Rekomendasi & PDF")
+    submit.click(generate_qc_report,
+                 inputs=[project_name, location, job_type, quality_status, notes],
+                 outputs=[ai_output, output_pdf])
+
+app.launch()