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Runtime error
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Added features to the app.
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app.py
CHANGED
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#Gradio app
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# app.py
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# app.py -
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# app.py
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import gradio as gr
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import requests
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import json
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MODAL_URL = "https://devsam2898--personal-investment-strategist-optimized-web.modal.run/strategy"
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def
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"""
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"""
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# Input validation
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if not all([age_group, income, expenses, risk_profile, goal, timeframe]):
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return "β Please fill in all fields to get a personalized strategy."
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# Convert income and expenses to numbers
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try:
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income_val = float(income.replace('$', '').replace(',', '')) if
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expenses_val = float(expenses.replace('$', '').replace(',', '')) if
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except ValueError:
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return "β Please enter valid numbers for income and expenses."
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payload = {
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"profile": {
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"age_group": age_group,
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@@ -30,118 +42,288 @@ def get_investment_strategy(age_group, income, expenses, risk_profile, goal, tim
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"expenses": expenses_val,
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"risk_profile": risk_profile,
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"goal": goal,
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"timeframe": timeframe
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}
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}
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try:
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print(f"Sending request to: {MODAL_URL}")
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print(f"Payload: {json.dumps(payload, indent=2)}")
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json=payload,
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headers={
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'Content-Type': 'application/json',
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'Accept': 'application/json'
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},
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timeout=30 # Add timeout
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)
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try:
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except requests.exceptions.Timeout:
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return "β **Request Timeout**: The service is taking too long to respond. Please try again."
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except requests.exceptions.ConnectionError:
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return "β **Connection Error**: Unable to connect to the backend service. Please check if the Modal service is running."
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except requests.exceptions.RequestException as e:
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return f"β **Network Error**: {str(e)}"
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except Exception as e:
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return f"β **
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gr.Markdown(
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"""
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# π Personal Finance Strategist
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**Powered
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"""
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)
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with gr.Row():
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with gr.Column(scale=1):
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age_group = gr.Dropdown(
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choices=["20s", "30s", "40s", "50s+"],
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label="Age Group",
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value="30s"
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)
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-
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label="Monthly Income ($)",
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value=
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)
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expenses = gr.
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label="Monthly Expenses ($)",
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value=
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)
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with gr.Column(scale=1):
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risk_profile = gr.Radio(
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choices=["Conservative", "Moderate", "Aggressive"],
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label="Risk Tolerance",
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value="Moderate"
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)
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goal = gr.Textbox(
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label="Financial Goal",
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placeholder="e.g., buy a house, retirement, emergency fund"
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)
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timeframe = gr.Textbox(
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label="Timeframe",
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placeholder="e.g., 5 years, 10 years"
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)
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with gr.Row():
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submit_btn = gr.Button(
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output = gr.Markdown(
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# Event handlers
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submit_btn.click(
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fn=get_investment_strategy,
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inputs=[age_group, income, expenses, risk_profile, goal, timeframe],
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outputs=output
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)
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test_btn.click(
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fn=
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outputs=output
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)
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if __name__ == "__main__":
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interface.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=False
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)
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#Gradio app
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# app.py
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# app.py - Optimized with better timeout handling
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import gradio as gr
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import requests
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import json
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import asyncio
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import aiohttp
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from typing import Optional
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# Update this to your new optimized Modal URL
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MODAL_URL = "https://devsam2898--personal-investment-strategist-optimized-web.modal.run/strategy"
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HEALTH_URL = "https://devsam2898--personal-investment-strategist-optimized-web.modal.run/health"
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TEST_URL = "https://devsam2898--personal-investment-strategist-optimized-web.modal.run/test"
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async def get_investment_strategy_async(age_group, income, expenses, risk_profile, goal, timeframe, country):
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"""Async version with better timeout handling"""
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# Input validation
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if not all([age_group, income, expenses, risk_profile, goal, timeframe, country]):
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return "β Please fill in all fields to get a personalized strategy."
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# Convert income and expenses to numbers
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try:
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income_val = float(str(income).replace('$', '').replace(',', '')) if income else 0
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expenses_val = float(str(expenses).replace('$', '').replace(',', '')) if expenses else 0
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except ValueError:
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return "β Please enter valid numbers for income and expenses."
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# Validate financial logic
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if income_val <= 0:
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return "β Income must be greater than 0."
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if expenses_val < 0:
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return "β Expenses cannot be negative."
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if expenses_val >= income_val:
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return "β οΈ **Warning**: Your expenses are equal to or exceed your income. Consider budgeting advice before investing."
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payload = {
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"profile": {
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"age_group": age_group,
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"expenses": expenses_val,
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"risk_profile": risk_profile,
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"goal": goal,
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"timeframe": timeframe,
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"country": country
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}
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}
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try:
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print(f"π Sending request to: {MODAL_URL}")
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# Use aiohttp for better async handling
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timeout = aiohttp.ClientTimeout(total=150) # 2.5 minute timeout
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async with aiohttp.ClientSession(timeout=timeout) as session:
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async with session.post(
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MODAL_URL,
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json=payload,
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headers={
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'Content-Type': 'application/json',
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'Accept': 'application/json'
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}
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) as response:
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print(f"π Response status: {response.status}")
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if response.status == 200:
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result = await response.json()
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strategy = result.get("strategy", "No strategy returned.")
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status = result.get("status", "unknown")
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# Add status indicator
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if status == "basic":
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prefix = "## π Your Investment Strategy (Rule-Based)\n*AI service was unavailable, using optimized rule-based strategy*\n\n"
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else:
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prefix = "## π Your Personalized Investment Strategy\n*Powered by AI*\n\n"
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return f"{prefix}{strategy}"
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else:
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error_text = await response.text()
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return f"β **Service Error ({response.status})**\n\nThe backend service returned an error. Please try again in a moment.\n\nDetails: {error_text[:200]}..."
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except asyncio.TimeoutError:
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return """β±οΈ **Request Timeout**
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The AI service is taking longer than expected. This could be due to:
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- High server load
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- Cold start (first request after idle period)
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- Network connectivity issues
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**What to try:**
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1. Wait 30 seconds and try again
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2. Simplify your goal description
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3. Check if the service is healthy using the 'Test Service' button"""
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except aiohttp.ClientError as e:
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return f"""π **Connection Error**
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Unable to connect to the backend service.
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**Possible causes:**
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- Service is starting up (cold start)
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- Network connectivity issues
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- Service is temporarily down
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**What to try:**
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1. Wait 1-2 minutes and try again
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2. Check service health with 'Test Service' button
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3. Refresh the page
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*Technical details: {str(e)}*"""
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except Exception as e:
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return f"""β **Unexpected Error**
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An unexpected error occurred: {str(e)}
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Please try again or contact support if the issue persists."""
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def get_investment_strategy(age_group, income, expenses, risk_profile, goal, timeframe, country):
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"""Sync wrapper for async function"""
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try:
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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result = loop.run_until_complete(
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get_investment_strategy_async(age_group, income, expenses, risk_profile, goal, timeframe, country)
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)
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loop.close()
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return result
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except Exception as e:
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return f"β **Error**: {str(e)}"
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async def test_service_async():
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"""Test service connectivity"""
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try:
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timeout = aiohttp.ClientTimeout(total=30)
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async with aiohttp.ClientSession(timeout=timeout) as session:
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# Test health endpoint first
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try:
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async with session.get(HEALTH_URL) as response:
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if response.status == 200:
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health_data = await response.json()
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health_status = f"β
Service is healthy\n- Status: {health_data.get('status')}\n- Timestamp: {health_data.get('timestamp')}"
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else:
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health_status = f"β οΈ Health check returned status {response.status}"
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except Exception as e:
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health_status = f"β Health check failed: {str(e)}"
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# Test strategy endpoint with sample data
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try:
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async with session.get(TEST_URL) as response:
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if response.status == 200:
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test_data = await response.json()
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test_status = f"β
Test endpoint working\n- Result: {test_data.get('test_result')}"
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else:
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test_status = f"β οΈ Test endpoint returned status {response.status}"
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except Exception as e:
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test_status = f"β Test endpoint failed: {str(e)}"
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return f"""## π Service Status Check
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**Health Check:**
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{health_status}
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**Functionality Test:**
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{test_status}
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**Service URL:** {MODAL_URL}
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*Last checked: {asyncio.get_event_loop().time()}*"""
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except Exception as e:
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return f"""β **Service Test Failed**
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Unable to connect to the service.
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Error: {str(e)}
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**Troubleshooting:**
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1. Check if the Modal deployment is running
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2. Verify the service URL is correct
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3. Check network connectivity"""
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def test_service():
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"""Sync wrapper for service test"""
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try:
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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result = loop.run_until_complete(test_service_async())
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loop.close()
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return result
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except Exception as e:
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return f"β **Test Error**: {str(e)}"
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+
|
| 197 |
+
# Create the interface with better UX
|
| 198 |
+
with gr.Blocks(
|
| 199 |
+
theme=gr.themes.Soft(primary_hue="blue", secondary_hue="slate"),
|
| 200 |
+
title="π Personal Finance Strategist",
|
| 201 |
+
css="""
|
| 202 |
+
.gradio-container {
|
| 203 |
+
max-width: 1200px !important;
|
| 204 |
+
}
|
| 205 |
+
.status-box {
|
| 206 |
+
padding: 10px;
|
| 207 |
+
border-radius: 8px;
|
| 208 |
+
margin: 10px 0;
|
| 209 |
+
}
|
| 210 |
+
"""
|
| 211 |
+
) as interface:
|
| 212 |
+
|
| 213 |
gr.Markdown(
|
| 214 |
"""
|
| 215 |
# π Personal Finance Strategist
|
| 216 |
+
**AI-Powered Investment Strategy Generator**
|
| 217 |
+
|
| 218 |
+
Get personalized investment recommendations based on your financial profile and goals.
|
| 219 |
|
| 220 |
+
---
|
| 221 |
"""
|
| 222 |
)
|
| 223 |
|
| 224 |
with gr.Row():
|
| 225 |
with gr.Column(scale=1):
|
| 226 |
+
gr.Markdown("### π€ Personal Information")
|
| 227 |
age_group = gr.Dropdown(
|
| 228 |
choices=["20s", "30s", "40s", "50s+"],
|
| 229 |
label="Age Group",
|
| 230 |
+
value="30s",
|
| 231 |
+
info="Select your current age range"
|
| 232 |
+
)
|
| 233 |
+
|
| 234 |
+
country = gr.Dropdown(
|
| 235 |
+
choices=[
|
| 236 |
+
"United States", "Canada", "United Kingdom",
|
| 237 |
+
"Germany", "France", "Italy", "Japan", "India"
|
| 238 |
+
],
|
| 239 |
+
label="Country of Residence",
|
| 240 |
+
value="United States",
|
| 241 |
+
info="Your tax residence country"
|
| 242 |
)
|
| 243 |
+
|
| 244 |
+
gr.Markdown("### π° Financial Information")
|
| 245 |
+
income = gr.Number(
|
| 246 |
label="Monthly Income ($)",
|
| 247 |
+
value=6000,
|
| 248 |
+
minimum=0,
|
| 249 |
+
info="Your total monthly income before taxes"
|
| 250 |
)
|
| 251 |
+
expenses = gr.Number(
|
| 252 |
label="Monthly Expenses ($)",
|
| 253 |
+
value=4000,
|
| 254 |
+
minimum=0,
|
| 255 |
+
info="Your total monthly expenses"
|
| 256 |
)
|
| 257 |
|
| 258 |
with gr.Column(scale=1):
|
| 259 |
+
gr.Markdown("### π― Investment Preferences")
|
| 260 |
risk_profile = gr.Radio(
|
| 261 |
choices=["Conservative", "Moderate", "Aggressive"],
|
| 262 |
label="Risk Tolerance",
|
| 263 |
+
value="Moderate",
|
| 264 |
+
info="How comfortable are you with investment risk?"
|
| 265 |
)
|
| 266 |
goal = gr.Textbox(
|
| 267 |
label="Financial Goal",
|
| 268 |
+
placeholder="e.g., buy a house, retirement, emergency fund, child's education",
|
| 269 |
+
info="What are you saving/investing for?"
|
| 270 |
)
|
| 271 |
timeframe = gr.Textbox(
|
| 272 |
+
label="Investment Timeframe",
|
| 273 |
+
placeholder="e.g., 5 years, 10 years, until retirement",
|
| 274 |
+
info="How long do you plan to invest?"
|
| 275 |
)
|
| 276 |
|
| 277 |
+
gr.Markdown("---")
|
| 278 |
+
|
| 279 |
with gr.Row():
|
| 280 |
+
submit_btn = gr.Button(
|
| 281 |
+
"π Generate Investment Strategy",
|
| 282 |
+
variant="primary",
|
| 283 |
+
size="lg"
|
| 284 |
+
)
|
| 285 |
+
test_btn = gr.Button(
|
| 286 |
+
"π Test Service",
|
| 287 |
+
variant="secondary",
|
| 288 |
+
size="lg"
|
| 289 |
+
)
|
| 290 |
+
|
| 291 |
+
with gr.Row():
|
| 292 |
+
gr.Markdown(
|
| 293 |
+
"""
|
| 294 |
+
**π‘ Tips for best results:**
|
| 295 |
+
- Be specific about your financial goal
|
| 296 |
+
- Include realistic timeframes
|
| 297 |
+
- Consider your actual risk tolerance
|
| 298 |
+
- Make sure your income > expenses for meaningful investing
|
| 299 |
+
- Country selection affects tax-advantaged account recommendations
|
| 300 |
+
"""
|
| 301 |
+
)
|
| 302 |
|
| 303 |
+
output = gr.Markdown(
|
| 304 |
+
label="Investment Strategy",
|
| 305 |
+
value="Click 'Generate Investment Strategy' to get your personalized recommendations!"
|
| 306 |
+
)
|
| 307 |
|
| 308 |
# Event handlers
|
| 309 |
submit_btn.click(
|
| 310 |
fn=get_investment_strategy,
|
| 311 |
+
inputs=[age_group, income, expenses, risk_profile, goal, timeframe, country],
|
| 312 |
+
outputs=output,
|
| 313 |
+
show_progress=True
|
| 314 |
)
|
| 315 |
|
| 316 |
test_btn.click(
|
| 317 |
+
fn=test_service,
|
| 318 |
+
outputs=output,
|
| 319 |
+
show_progress=True
|
| 320 |
)
|
| 321 |
|
| 322 |
if __name__ == "__main__":
|
| 323 |
interface.launch(
|
| 324 |
server_name="0.0.0.0",
|
| 325 |
server_port=7860,
|
| 326 |
+
share=False,
|
| 327 |
+
show_error=True,
|
| 328 |
+
debug=True
|
| 329 |
)
|