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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +130 -88
src/streamlit_app.py
CHANGED
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@@ -7,7 +7,6 @@ import os
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# PDF Extraction Function
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# -------------------------------------------------------
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def extract_pdf_table(uploaded_file):
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"""Extract table data from PDF and convert into DataFrame."""
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rows = []
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with pdfplumber.open(uploaded_file) as pdf:
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for page in pdf.pages:
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@@ -16,118 +15,161 @@ def extract_pdf_table(uploaded_file):
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rows.extend(table)
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if not rows:
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return None, "No table detected in PDF."
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df = pd.DataFrame(rows[1:], columns=auto_columns)
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return df, "PDF extracted successfully!"
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# -------------------------------------------------------
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#
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# -------------------------------------------------------
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st.title("📸
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# -------------------------------------------------------
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#
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# -------------------------------------------------------
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st.
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st.success(f"Loaded pricelist from: {PDF_PATH}")
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with open(PDF_PATH, "rb") as file:
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pricelist_df, msg = extract_pdf_table(file)
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st.info(msg)
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if pricelist_df is not None:
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st.dataframe(pricelist_df)
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else:
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st.warning("No pricelist file found. Upload below instead.")
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# -------------------------------------------------------
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#
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# -------------------------------------------------------
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pricelist_df, msg = extract_pdf_table(uploaded_pdf)
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st.success(msg)
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if pricelist_df is not None:
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st.dataframe(pricelist_df)
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st.
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# -------------------------------------------------------
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st.header("2️⃣ Product / Service Selection")
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resolution = st.selectbox("Camera Resolution", ["1MP", "2MP", "4MP", "5MP", "8MP", "4K"])
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ir_range = st.multiselect("Infrared Range", ["20m", "30m", "50m", "150m", "300m", "500m"])
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night_vision = st.selectbox("Night Vision / Color Camera", ["Yes", "No"])
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feature = st.selectbox("Additional Feature", ["None", "Battery", "4G", "Solar", "Heat Sensing", "AI Based"])
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else:
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camera_type = "N/A"
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placement_type = "N/A"
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resolution = "N/A"
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ir_range = []
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night_vision = "N/A"
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feature = "None"
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st.write("---")
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# -------------------------------------------------------
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#
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# -------------------------------------------------------
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area_unit = st.radio("Area Unit", ["Marla", "Sq. Yd"], horizontal=True)
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# -------------------------------------------------------
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#
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# -------------------------------------------------------
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- **Camera Type:** {camera_type}
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- **Placement:** {placement_type}
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- **Resolution:** {resolution}
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- **IR Range:** {", ".join(ir_range) if ir_range else "None"}
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- **Night Vision:** {night_vision}
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- **Feature:** {feature}
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---
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### ▶ System
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- **System Type:** {quotation_type}
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- **Approx. Area:** {area_value} {area_unit}
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---
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"""
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if pricelist_df is not None:
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result += "### ▶ Pricelist Preview\n"
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result += pricelist_df.head().to_markdown(index=False)
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else:
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result += "_No pricelist loaded._"
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# PDF Extraction Function
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# -------------------------------------------------------
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def extract_pdf_table(uploaded_file):
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rows = []
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with pdfplumber.open(uploaded_file) as pdf:
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for page in pdf.pages:
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rows.extend(table)
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if not rows:
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return None, "No table detected in this PDF."
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columns = [f"Column_{i+1}" for i in range(len(rows[0]))]
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df = pd.DataFrame(rows[1:], columns=columns)
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return df, "Pricelist extracted successfully!"
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# -------------------------------------------------------
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# APP TITLE
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# -------------------------------------------------------
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st.title("📸 CCTV Pricelist & Quotation Generator")
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st.write("### 1️⃣ Select what you want to generate:")
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# -------------------------------------------------------
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# MAIN DROPDOWN: SERVICES OR PRODUCTS
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# -------------------------------------------------------
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choice = st.selectbox(
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"Choose Option",
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["Select Option", "Products", "Services"]
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)
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st.write("---")
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# -------------------------------------------------------
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# SERVICES UI SECTION
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# -------------------------------------------------------
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if choice == "Services":
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st.header("📝 Service Quotation")
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service_name = st.text_input("Service Name")
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service_desc = st.text_area("Service Description")
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service_cost = st.number_input("Service Price", min_value=0.0)
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area_value = st.text_input("Approx. Area Covered")
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area_unit = st.radio("Area Unit", ["Marla", "Sq. Yd"], horizontal=True)
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if st.button("Generate Service Quotation"):
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st.markdown(f"""
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# 📄 Service Quotation
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### ▶ Service Details
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- **Name:** {service_name}
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- **Description:** {service_desc}
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- **Cost:** {service_cost}
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### ▶ Site Details
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- **Area:** {area_value} {area_unit}
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""")
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# -------------------------------------------------------
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# PRODUCTS UI SECTION
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# -------------------------------------------------------
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elif choice == "Products":
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st.subheader("📄 Pricelist Loading")
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# Use your exact file name
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PDF_PATH = "Pollo Price List 11.07.25.pdf"
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pricelist_df = None
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# -------------------------------------------------------
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# AUTO LOAD DEFAULT PDF IF PRESENT
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# -------------------------------------------------------
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if os.path.exists(PDF_PATH):
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st.success(f"Loaded pricelist: {PDF_PATH}")
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with open(PDF_PATH, "rb") as file:
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pricelist_df, msg = extract_pdf_table(file)
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st.info(msg)
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if pricelist_df is not None:
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st.dataframe(pricelist_df)
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else:
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st.warning("Default pricelist not found. Upload your own below.")
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# -------------------------------------------------------
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# USER PDF UPLOAD
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# -------------------------------------------------------
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uploaded_pdf = st.file_uploader("Upload PDF Pricelist", type=["pdf"])
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if uploaded_pdf:
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pricelist_df, msg = extract_pdf_table(uploaded_pdf)
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st.success(msg)
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if pricelist_df is not None:
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st.dataframe(pricelist_df)
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st.write("---")
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# -------------------------------------------------------
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# PRODUCT SELECTION
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# -------------------------------------------------------
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st.header("🛒 Product Selection")
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product_category = st.selectbox(
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"Select Product Category",
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["Camera", "Video Recorder", "POE Switch", "Cables", "Accessories"]
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)
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# ------------------- CAMERA UI --------------------
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if product_category == "Camera":
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camera_type = st.selectbox("Camera Type", ["Analog Camera", "Digital Camera"])
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placement = st.selectbox("Placement", ["Outdoor (Bullet)", "Indoor (Dome)"])
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resolution = st.selectbox("Resolution", ["1MP", "2MP", "4MP", "5MP", "8MP", "4K"])
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ir_range = st.multiselect("Infrared Range", ["20m", "30m", "50m", "150m", "300m", "500m"])
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night_vision = st.selectbox("Night Vision", ["Yes", "No"])
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feature = st.selectbox("Additional Feature", ["None", "Battery", "4G", "Solar", "AI Based"])
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else:
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camera_type = "N/A"
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placement = "N/A"
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resolution = "N/A"
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ir_range = []
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night_vision = "N/A"
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feature = "None"
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st.write("---")
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# -------------------------------------------------------
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# PRODUCT QUOTATION SECTION
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# -------------------------------------------------------
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st.header("📦 Product System Quotation")
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system_type = st.selectbox("System Type", ["Analog System", "Digital System"])
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area_value = st.text_input("Approx. Area Covered")
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area_unit = st.radio("Area Unit", ["Marla", "Sq. Yd"], horizontal=True)
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if st.button("Generate Product Quotation"):
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ir_display = ", ".join(ir_range) if ir_range else "None"
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st.markdown(f"""
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# 📄 Product Quotation
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### ▶ Product Details
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- **Category:** {product_category}
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- **Camera Type:** {camera_type}
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- **Placement:** {placement}
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- **Resolution:** {resolution}
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- **Infrared:** {ir_display}
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- **Night Vision:** {night_vision}
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- **Feature:** {feature}
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### ▶ System Details
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- **System Type:** {system_type}
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- **Coverage Area:** {area_value} {area_unit}
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""")
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if pricelist_df is not None:
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st.write("### ▶ Pricelist Preview")
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st.dataframe(pricelist_df.head())
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else:
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st.info("No pricelist available.")
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else:
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st.info("Please choose **Products** or **Services** to begin.")
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