Update app.py
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app.py
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# ============================================================
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# Personal Finance Helper
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# ============================================================
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# This app:
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# 1. Collects some simple financial information from the user
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# 2. Calculates a few basic financial indicators using Python
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# 3. Sends the information to Gemini
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# 4. Displays Gemini's response in a simple web app
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# ============================================================
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# -----------------------------
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# 1. Import the libraries we need
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# -----------------------------
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import os
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import gradio as gr
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import spaces
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from google import genai
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#
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# 2. Connect to Gemini
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# -----------------------------
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# The API key should NOT be written directly in this file.
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#
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# Instead, add it in Hugging Face:
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#
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# Settings -> Secrets
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#
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# Name the secret:
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# GEMINI_API_KEY
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#
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# Hugging Face will then make it available securely to this app.
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api_key = os.getenv("GEMINI_API_KEY")
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if not api_key:
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raise ValueError(
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"GEMINI_API_KEY was not found. "
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"Please add it under your Hugging Face Space Settings -> Secrets."
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)
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client = genai.Client(api_key=api_key)
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# -----------------------------
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# 3. ZeroGPU placeholder
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# -----------------------------
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# Free Hugging Face accounts may use ZeroGPU.
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#
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# Hugging Face expects a ZeroGPU Space to contain at least one
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# function marked with @spaces.GPU.
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#
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# Our finance app does NOT actually need a GPU because Gemini
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# runs on Google's servers.
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#
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# This small placeholder function simply allows the Space to start.
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@spaces.GPU(duration=5)
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def gpu_placeholder():
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return "ready"
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# 4. Main function of the app
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# -----------------------------
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# This function runs whenever the user presses Submit.
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#
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# Gradio sends the values from the input boxes into this function.
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# The function then returns the AI response back to Gradio.
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def finance_helper(
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income,
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expenses,
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cash,
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investments,
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debt,
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goal
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):
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try:
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# -----------------------------
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# Clean up the user's inputs
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# -----------------------------
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# If a user leaves a number blank, we treat it as zero.
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income = float(income or 0)
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expenses = float(expenses or 0)
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cash = float(cash or 0)
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investments = float(investments or 0)
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debt = float(debt or 0)
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# -----------------------------
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# We do NOT need an LLM to calculate simple mathematics.
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#
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# This is an important idea when building AI applications:
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#
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# Use normal code for things that are predictable.
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# Use the LLM for interpretation, reasoning, and communication.
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monthly_surplus = income - expenses
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if income > 0:
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savings_rate = monthly_surplus / income * 100
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else:
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savings_rate = 0
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if expenses > 0:
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emergency_fund_months = cash / expenses
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else:
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emergency_fund_months = 0
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# -----------------------------
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# Create the prompt for Gemini
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# -----------------------------
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# This is where much of the "intelligence" of the app comes from.
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#
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# Students can customise this section to create completely
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# different applications.
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prompt = f"""
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You are a friendly personal finance education assistant.
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Your role is to help the user understand their financial situation
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and think about sensible financial priorities.
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Provide general educational guidance only.
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insurance products, or financial institutions.
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Here is the user's financial information:
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Monthly income: ${income:,.0f}
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Monthly expenses: ${expenses:,.0f}
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Monthly surplus: ${monthly_surplus:,.0f}
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Savings rate: {savings_rate:.1f}%
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Cash savings: ${cash:,.0f}
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Emergency fund:
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{emergency_fund_months:.1f} months of current expenses
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Investments: ${investments:,.0f}
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Debt: ${debt:,.0f}
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{goal}
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Please provide a concise and useful response using the following format:
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## Financial Snapshot
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Summarise the user's current financial position in simple language.
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## What Looks Good
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Identify two positive aspects of the user's financial position.
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## Three Priorities
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Recommend three general priorities the user could consider.
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## One Thing to Watch
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Identify one potential financial concern or area that deserves attention.
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## Questions to Think About
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about their financial goals.
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Keep the response practical, easy to understand, and relatively concise.
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"""
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# -----------------------------
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# 5. Send the prompt to Gemini
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# -----------------------------
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response = client.models.generate_content(
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model="gemini-3.6-flash",
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contents=prompt
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)
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# -----------------------------
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# 6. Return Gemini's answer
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# -----------------------------
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# Whatever we return here will appear in the Gradio output box.
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return response.text
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except Exception as e:
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# -----------------------------
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# Show errors in the app
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# -----------------------------
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# This is useful for learning and debugging.
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#
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# Instead of the app appearing to do nothing,
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# the user will see the actual error message.
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return f"""
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## Something went wrong
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"""
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# Gradio creates the web page for us.
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#
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# "inputs" defines what users can enter.
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# "outputs" defines where the result will appear.
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demo = gr.Interface(
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fn=finance_helper,
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inputs=[
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gr.Number(
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label="Monthly Income",
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value=10000
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),
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gr.Number(
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label="Monthly Expenses",
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value=6000
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),
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gr.Number(
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label="Cash Savings",
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value=30000
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),
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gr.Number(
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label="Investments",
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value=50000
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),
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gr.Number(
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label="Debt",
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value=10000
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),
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gr.Textbox(
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label="What is your main financial goal?",
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placeholder="For example: Buy a home in five years"
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)
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],
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label="
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""
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)
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# -----------------------------
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# 8. Start the app
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# -----------------------------
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# Hugging Face automatically publishes the Gradio interface.
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#
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# We turn off SSR because it can sometimes create unnecessary
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# server issues in this simple Space.
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demo.launch(
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ssr_mode=False
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import os
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import gradio as gr
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import spaces
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from google import genai
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# Connect to Gemini
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client = genai.Client(
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api_key=os.getenv("GEMINI_API_KEY")
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)
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# Required for ZeroGPU Spaces
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@spaces.GPU(duration=5)
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def gpu_placeholder():
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return "ready"
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def finance_helper(income, expenses, cash, investments, debt, goal):
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try:
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income = float(income or 0)
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expenses = float(expenses or 0)
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cash = float(cash or 0)
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investments = float(investments or 0)
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debt = float(debt or 0)
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surplus = income - expenses
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savings_rate = surplus / income * 100 if income > 0 else 0
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emergency_months = cash / expenses if expenses > 0 else 0
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prompt = f"""
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You are a friendly personal finance education assistant.
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Provide general educational guidance only.
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Do not recommend specific financial products or investments.
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Financial information:
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Monthly income: ${income:,.0f}
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Monthly expenses: ${expenses:,.0f}
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Monthly surplus: ${surplus:,.0f}
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Savings rate: {savings_rate:.1f}%
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Cash savings: ${cash:,.0f}
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Emergency fund: {emergency_months:.1f} months
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Investments: ${investments:,.0f}
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Debt: ${debt:,.0f}
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Main financial goal:
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{goal}
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Please provide:
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## Financial Snapshot
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## What Looks Good
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## Three Priorities
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## One Thing to Watch
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## Questions to Think About
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Keep the response practical and concise.
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"""
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response = client.models.generate_content(
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model="gemini-3.6-flash",
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contents=prompt
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return response.text
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except Exception as e:
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return f"## Error\n\n{str(e)}"
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# Build the app
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with gr.Blocks(title="Personal Finance Helper") as demo:
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gr.Markdown(
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"""
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# 💰 Personal Finance Helper
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Enter a few details below to receive an AI generated financial health check.
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*For educational purposes only. This is not financial advice.*
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"""
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)
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+
with gr.Row():
|
| 86 |
+
income = gr.Number(label="Monthly Income")
|
| 87 |
+
expenses = gr.Number(label="Monthly Expenses")
|
| 88 |
|
| 89 |
+
with gr.Row():
|
| 90 |
+
cash = gr.Number(label="Cash Savings")
|
| 91 |
+
investments = gr.Number(label="Investments")
|
| 92 |
+
debt = gr.Number(label="Debt")
|
| 93 |
|
| 94 |
+
goal = gr.Textbox(
|
| 95 |
+
label="Main Financial Goal",
|
| 96 |
+
placeholder="For example: Buy a home in five years"
|
| 97 |
+
)
|
| 98 |
|
| 99 |
+
submit = gr.Button(
|
| 100 |
+
"Analyse My Finances",
|
| 101 |
+
variant="primary"
|
| 102 |
+
)
|
| 103 |
|
| 104 |
+
output = gr.Markdown(
|
| 105 |
+
label="AI Financial Review"
|
| 106 |
+
)
|
| 107 |
|
| 108 |
+
submit.click(
|
| 109 |
+
fn=finance_helper,
|
| 110 |
+
inputs=[
|
| 111 |
+
income,
|
| 112 |
+
expenses,
|
| 113 |
+
cash,
|
| 114 |
+
investments,
|
| 115 |
+
debt,
|
| 116 |
+
goal
|
| 117 |
+
],
|
| 118 |
+
outputs=output,
|
| 119 |
+
show_progress="full"
|
| 120 |
+
)
|
| 121 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 122 |
|
| 123 |
demo.launch(
|
| 124 |
ssr_mode=False
|