tutorial91

tutorial91/data.csv

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+product,unit,price
+Apple,1 kg,6.42
+Banana,1 kg,1.79
+Orange,1 packet,18.62
+Milk,1 kg,5.65
+Bread,1 packet,16.7
+Eggs,1 kg,19.33
+Butter,1 packet,10.09
+Cheese,1 packet,14.16
+Chicken Breast,1 packet,15.4
+Beef,1 kg,2.59
+Pork,1 packet,1.6
+Fish,1 kg,6.66
+Shrimp,1 kg,3.79
+Rice,1 litre,10.0
+Pasta,1 litre,13.67
+Olive Oil,1 packet,12.61
+Salt,1 kg,16.92
+Pepper,1 kg,16.87
+Tomato,1 Kg,12.04
+Potato,1 Kg,3.41
+Onion,1 kg,19.3
+Garlic,1 kg,18.32
+Broccoli,1 kg,19.64
+Carrot,1 litre,11.52
+Cucumber,1 packet,17.82
+Lettuce,1 litre,3.99
+Spinach,1 kg,18.13
+Mushroom,1 kg,3.75
+Bell Pepper,1 packet,6.36
+Zucchini,1 packet,3.79
+Cabbage,1 litre,16.54
+Cauliflower,1 kg,7.77
+Corn,1 packet,2.29
+Peas,1 litre,10.24
+Green Beans,1 kg,3.61
+Lemon,1 packet,15.15
+Lime,1 packet,15.99
+Strawberry,1 litre,19.39
+Blueberry,1 packet,4.67
+Raspberry,1 litre,8.51
+Blackberry,1 packet,17.04
+Pineapple,1 kg,16.57
+Mango,1 kg,18.49
+Papaya,1 litre,15.9
+Watermelon,1 litre,3.78
+Grapes,1 litre,14.63
+Kiwi,1 packet,14.3
+Cherry,1 litre,16.13
+Peach,1 kg,11.07
+Plum,1 litre,12.41
+Apricot,1 kg,10.84
+Nectarine,1 kg,3.18
+Coconut,1 kg,13.74
+Almonds,1 packet,10.66
+Walnuts,1 litre,6.21
+Cashews,1 litre,7.51
+Pistachios,1 kg,4.54
+Peanut Butter,1 packet,18.73
+Jelly,1 packet,3.81
+Honey,1 litre,13.9
+Oatmeal,1 packet,11.32
+Cereal,1 packet,13.3
+Flour,1 packet,17.51
+Sugar,1 litre,12.64
+Baking Powder,1 packet,3.36
+Baking Soda,1 kg,19.97
+Vinegar,1 kg,9.81
+Soy Sauce,1 litre,11.94
+Ketchup,1 kg,6.17
+Mustard,1 kg,19.09
+Mayonnaise,1 packet,16.34
+Hot Sauce,1 litre,2.83
+Pickles,1 packet,3.93
+Jam,1 packet,9.99
+Yogurt,1 kg,11.68
+Ice Cream,1 litre,14.79
+Frozen Peas,1 kg,18.26
+Frozen Corn,1 litre,7.35
+Frozen Spinach,1 kg,16.85
+Frozen Pizza,1 packet,8.75
+Chicken Nuggets,1 packet,16.49
+Hot Dogs,1 kg,8.07
+Bacon,1 kg,1.36
+Sausage,1 kg,5.2
+Salami,1 packet,11.68
+Ham,1 litre,16.85
+Turkey,1 litre,11.85
+Beef Jerky,1 kg,12.97
+Granola Bars,1 litre,6.31
+Chips,1 kg,4.99
+Pretzels,1 kg,5.8
+Popcorn,1 packet,5.96
+Chocolate,1 packet,9.84
+Cookies,1 litre,15.44
+Cake Mix,1 litre,13.8
+Brownie Mix,1 packet,16.21
+Pancake Mix,1 kg,2.58
+Syrup,1 kg,5.47
+Tea,1 kg,17.75
+Coffee,1 kg,6.8
+Juice,1 packet,19.67
+Soda,1 litre,13.3

tutorial91/fetch_price.py

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+import pandas as pd
+df=pd.read_csv(r"C:\Users\welcome\OneDrive\Documents\GitHub\LLMtutorial\tutorial91\data.csv")
+df["price"]=pd.to_numeric(df["price"],errors="coerce")
+
+def getPrice(name,unit):
+    dfp=df[df["product"].str.lower()==name.lower()]
+    price=dfp["price"].values[0]*float(unit)
+    return price
+

tutorial91/genrate_table.py

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+from reportlab.lib.pagesizes import letter
+from reportlab.platypus import SimpleDocTemplate, Table, TableStyle
+from reportlab.lib import colors
+
+# Create a PDF document
+pdf_file = "invoice.pdf"
+document = SimpleDocTemplate(pdf_file, pagesize=letter)
+
+# Sample data for the table
+def gentable(data):
+
+    # Create a table
+    table = Table(data)
+
+    # Add style to the table
+    style = TableStyle([
+        ('BACKGROUND', (0, 0), (-1, 0), colors.grey),
+        ('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
+        ('ALIGN', (0, 0), (-1, -1), 'CENTER'),
+        ('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
+        ('FONTSIZE', (0, 0), (-1, 0), 12),
+        ('BOTTOMPADDING', (0, 0), (-1, 0), 12),
+        ('BACKGROUND', (0, 1), (-1, -1), colors.beige),
+        ('GRID', (0, 0), (-1, -1), 1, colors.black)
+    ])
+
+    table.setStyle(style)
+
+    # Build the PDF
+    elements = [table]
+    document.build(elements)
+
+    print(f"PDF with table created: {pdf_file}")

tutorial91/main.py

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+from langchain_openai import ChatOpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+import json,base64
+import streamlit as st
+from fetch_price import getPrice
+from genrate_table import gentable
+
+
+llm=ChatOpenAI(model="gpt-4o",temperature=0)
+prompt="""
+you are an intelligent bot who can translate any {instruction} into a json document with the following keys:
+product_name
+quantity_volume
+
+output will be only json nothing else
+"""
+
+def show_pdf(file_path):
+    with open(file_path,"rb") as f1:
+        base64_pdf=base64.b64encode(f1.read()).decode("utf-8")
+    pdf_display=f'<iframe src="data:application/pdf;base64,{base64_pdf}" width="1200" height="900" type="application/pdf"></iframe>'
+    st.markdown(pdf_display,unsafe_allow_html=True)
+
+def genresponse(input):
+    query_with_prompt=PromptTemplate(
+        template=prompt,
+        input_variables=["instruction"]
+    )
+    llmchain=LLMChain(llm=llm,prompt=query_with_prompt)
+    response=llmchain.invoke({"instruction":input})
+    data=response["text"]
+    data=data.replace("json","")
+    data=data.replace("`","")
+    data=json.loads(data)
+    return data
+
+st.title("INVOICE GENERATOR APP")
+st.write("what you want to order")
+input=st.text_area("write your requirements")
+if input is not None:
+    btn=st.button("submit")
+    if btn:
+        response=genresponse(input)
+        if isinstance(response,dict):
+            name=response["product_name"]
+            unit=response["quantity_volume"][0]
+            price=getPrice(name,unit)
+            response["price"]=price
+        if isinstance(response,list):
+            for item in response:
+                name=item["product_name"]
+                unit=item["quantity_volume"][0]
+                price=getPrice(name,unit)
+                item["price"]=price
+        final_data=[["NAME","QUANTITY_VOLUME","PRICE"]]
+        for data in response:
+            product_lists=[data["product_name"],data["quantity_volume"],data["price"]]
+            final_data.append(product_lists)
+        st.write(final_data)
+        gentable(final_data)
+        file_path=r"C:\Users\welcome\OneDrive\Documents\GitHub\LLMtutorial\tutorial91\invoice.pdf"
+        show_pdf(file_path)
+
+