Create app.py

app.py

@@ -0,0 +1,80 @@
+import gradio as gr
+import PyPDF2
+import google.generativeai as genai
+import re
+
+GEMINI_API_KEY = "AIzaSyDTHkwSJleaOpCVpgRlakxD1sXoCRM8K4c"  
+genai.configure(api_key=GEMINI_API_KEY)
+
+def extract_text_from_pdf(file):
+    try:
+        reader = PyPDF2.PdfReader(file)
+        text = ""
+        for page in reader.pages:
+            content = page.extract_text()
+            if content:
+                text += content + "\n"
+        return text.strip()
+    except:
+        return ""
+
+def extract_section(full_text, label):
+    pattern = rf"\*\*\- {re.escape(label)}:\*\*\s*(.*?)(?=\n\*\*|\Z)"
+    match = re.search(pattern, full_text, re.DOTALL)
+    return match.group(1).strip() if match else "❓ Not found"
+
+def analyze_financial_data(file):
+    text = extract_text_from_pdf(file)
+
+    if not text:
+        return (
+            "⚠️ Failed to extract text from the PDF. Ensure it’s not scanned.",
+            "", "", "", "", "", ""
+        )
+
+    prompt = f"""
+    Analyze the following Paytm transaction history and generate financial insights in the following structure:
+    **Financial Insights**
+    **- Monthly Income & Expenses:** [data]
+    **- Unnecessary Expense Categories:** [data]
+    **- Estimated Savings %:** [data]
+    **- Spending Trends:** [data]
+    **- Category-wise Expense Breakdown (Partial):** [data]
+    **- Cost Control Suggestions:** [data]
+    Transaction History:
+    {text}
+    """
+
+    try:
+        model = genai.GenerativeModel("gemini-1.5-flash")
+        response = model.generate_content(prompt)
+        full_text = response.text.strip()
+
+        return (
+            "✅ Analysis Complete",
+            extract_section(full_text, "Monthly Income & Expenses"),
+            extract_section(full_text, "Unnecessary Expense Categories"),
+            extract_section(full_text, "Estimated Savings %"),
+            extract_section(full_text, "Spending Trends"),
+            extract_section(full_text, "Category-wise Expense Breakdown (Partial)"),
+            extract_section(full_text, "Cost Control Suggestions"),
+        )
+
+    except Exception as e:
+        return (f"❌ Gemini Error: {e}", "", "", "", "", "", "")
+
+gr.Interface(
+    fn=analyze_financial_data,
+    inputs=gr.File(label="📂 Upload Paytm PDF", file_types=[".pdf"]),
+    outputs=[
+        gr.Textbox(label="✅ Status", lines=2, interactive=False),
+        gr.Textbox(label="💵 Monthly Income & Expenses", lines=8, interactive=False),
+        gr.Textbox(label="🛒 Unnecessary Expense Categories", lines=8, interactive=False),
+        gr.Textbox(label="💰 Estimated Savings %", lines=4, interactive=False),
+        gr.Textbox(label="📈 Spending Trends", lines=8, interactive=False),
+        gr.Textbox(label="📊 Category-wise Breakdown", lines=10, interactive=False),
+        gr.Textbox(label="🧠 Cost Control Suggestions", lines=8, interactive=False),
+    ],
+    title="💰 AI-Powered Personal Finance Assistant",
+    description="Upload your Paytm transaction PDF (text-based) and get structured financial insights using Gemini AI.",
+).launch()