import os import streamlit as st from groq import Groq import matplotlib.pyplot as plt from fpdf import FPDF import io # Set your API key os.environ["GROQ_API_KEY"] = "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" # Initialize Groq client client = Groq(api_key=os.environ["GROQ_API_KEY"]) # App title st.title("Cutting Plan Generator") # Input for blank plates st.header("Blank Plates Details") num_blank_types = st.number_input("Number of Blank Plate Types", min_value=1, step=1, key="num_blank_types") blank_data = [] for i in range(num_blank_types): with st.expander(f"Blank Plate {i+1}"): blank_width = st.number_input(f"Width (mm) for Blank {i+1}", min_value=0.0, step=0.1, key=f"blank_width_{i}") blank_length = st.number_input(f"Length (mm) for Blank {i+1}", min_value=0.0, step=0.1, key=f"blank_length_{i}") num_blank_plates = st.number_input(f"Number of Plates for Blank {i+1}", min_value=1, step=1, key=f"num_blank_plates_{i}") blank_data.append({"width": blank_width, "length": blank_length, "count": num_blank_plates}) # Input for pieces st.header("Pieces to be Cut Details") num_piece_types = st.number_input("Number of Piece Types", min_value=1, step=1, key="num_piece_types") piece_data = [] for i in range(num_piece_types): with st.expander(f"Piece {i+1}"): piece_width = st.number_input(f"Width (mm) for Piece {i+1}", min_value=0.0, step=0.1, key=f"piece_width_{i}") piece_length = st.number_input(f"Length (mm) for Piece {i+1}", min_value=0.0, step=0.1, key=f"piece_length_{i}") num_pieces = st.number_input(f"Number of Pieces for Piece {i+1}", min_value=1, step=1, key=f"num_pieces_{i}") piece_data.append({"width": piece_width, "length": piece_length, "count": num_pieces}) # Saw cut size and trimming size st.header("Other Specifications") saw_cut_size = st.number_input("Saw Cut Size (mm)", min_value=0.0, step=0.1, key="saw_cut_size") trimming_size = st.number_input("Trimming Size (mm)", min_value=0.0, step=0.1, key="trimming_size") # Priority of blank sizes priority = st.selectbox("Priority of Blank Sizes", options=["Smallest First", "Largest First"], key="priority") # Generate Cutting Plan and Sketch if st.button("Generate Cutting Plan"): total_cut_area = 0 blank_areas = [] for blank in blank_data: blank_area = (blank["width"] - 2 * trimming_size) * (blank["length"] - 2 * trimming_size) * blank["count"] blank_areas.append(blank_area) for piece in piece_data: total_cut_area += piece["width"] * piece["length"] * piece["count"] total_blank_area = sum(blank_areas) unused_area = total_blank_area - total_cut_area usable_area_percentage = (total_cut_area / total_blank_area) * 100 st.subheader("Results") st.write(f"Total Usable Surface Area: {total_blank_area:.2f} mm²") st.write(f"Total Cut Square Area: {total_cut_area:.2f} mm²") st.write(f"Total Non-used Square Area: {unused_area:.2f} mm²") st.write(f"Percentage of Usable Area: {usable_area_percentage:.2f}%") # Generate sketch fig, ax = plt.subplots(figsize=(8, 6)) for i, blank in enumerate(blank_data): ax.add_patch(plt.Rectangle((0, i * (blank["length"] + 10)), blank["width"], blank["length"], edgecolor="blue", facecolor="none", label=f"Blank {i+1}" if i == 0 else "")) for j, piece in enumerate(piece_data): ax.add_patch(plt.Rectangle((j * (piece["width"] + 5), i * (blank["length"] + 10) + trimming_size), piece["width"], piece["length"], edgecolor="red", facecolor="pink", label=f"Piece {j+1}" if i == 0 else "")) ax.set_xlim(0, max(blank["width"] for blank in blank_data) + 50) ax.set_ylim(0, (len(blank_data) * max(blank["length"] for blank in blank_data)) + 100) ax.set_title("Cutting Plan Sketch") ax.legend(loc="upper right") st.pyplot(fig) # Save as PDF pdf = FPDF() pdf.add_page() pdf.set_font("Arial", size=12) pdf.cell(200, 10, txt="Cutting Plan Report", ln=True, align="C") pdf.cell(200, 10, txt=f"Total Usable Surface Area: {total_blank_area:.2f} mm²", ln=True) pdf.cell(200, 10, txt=f"Total Cut Square Area: {total_cut_area:.2f} mm²", ln=True) pdf.cell(200, 10, txt=f"Total Non-used Square Area: {unused_area:.2f} mm²", ln=True) pdf.cell(200, 10, txt=f"Percentage of Usable Area: {usable_area_percentage:.2f}%", ln=True) pdf_output = io.BytesIO() pdf.output(pdf_output) st.download_button( label="Download Cutting Plan as PDF", data=pdf_output.getvalue(), file_name="cutting_plan.pdf", mime="application/pdf", )