Update app.py
Browse files
app.py
CHANGED
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@@ -3,16 +3,18 @@ import os
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import asyncio
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import json
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import datetime
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import
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from dotenv import load_dotenv
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# --- Langchain Imports ---
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# These libraries are essential for interacting with language models and parsing their outputs.
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.output_parsers import JsonOutputParser
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_openai import ChatOpenAI
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain_core.messages import SystemMessage, HumanMessage
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# Load environment variables from .env file (for local testing).
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@@ -21,19 +23,12 @@ load_dotenv()
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# --- 1. API KEY CHECK ---
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# This block ensures that the necessary API keys are set before the application starts.
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# This makes the app "fail early" if a critical dependency is missing.
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try:
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openai_api_key = os.environ["OPENAI_API_KEY"]
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except KeyError:
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# If the key is not found, an error is raised, prompting the user to set it up.
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raise EnvironmentError("Missing OPENAI_API_KEY. Please set it in a .env file locally, or in Hugging Face Space secrets.")
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#
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perplexity_api_key = None # Initialize to None
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try:
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perplexity_api_key = os.environ["PERPLEXITY_API_KEY"]
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except KeyError:
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print("Warning: PERPLEXITY_API_KEY not found. Perplexity AI web search will not function. Please add it to your .env file or Hugging Face Space secrets for live web search.")
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# --- 2. PYDANTIC DATA STRUCTURE DEFINITION ---
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@@ -79,95 +74,124 @@ async def search_get_your_guide(details):
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async def scrape_flight_vouchers(details):
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"""
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print(f"Searching for flight vouchers related to: {details.get('destination_city', 'general travel')}")
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await asyncio.sleep(4) # Simulate a longer crawl time due to web scraping complexity
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return [{
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"source": "VoucherSiteExample",
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"type": "voucher",
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"details": "20% off selected Summer Flights!",
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"price": "N/A", # Vouchers typically don't have a direct price, but a discount amount/code
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"link": "https://www.example-vouchers.com/summer-deal"
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},
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{
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"source": "AirlineDeals",
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"type": "voucher",
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"details": "Flat $50 off on flights to Europe with code EUROFLY",
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"price": "N/A",
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"link": "https://www.airline-deals.com/europe-promo"
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}]
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async def search_perplexity_web(details):
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"""
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f"Best travel tips for {details.get('destination_city', 'general travel')}. "
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f"Budget: {details.get('budget_preference', 'any')}. "
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f"Travel dates: {details.get('departure_date', 'any')} to {details.get('return_date', 'any')}. "
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f"Interests: {details.get('activity_interests', 'any activities')}."
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)
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url = "https://api.perplexity.ai/chat/completions" # Perplexity AI's chat completions endpoint for web search
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headers = {
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"Authorization": f"Bearer {perplexity_api_key}",
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"Content-Type": "application/json"
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}
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payload = {
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"model": "llama-3-sonar-small-32k-online",
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"messages": [
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{"role": "system", "content": "You are a helpful assistant that performs web searches and provides concise, travel-related summaries or tips."},
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{"role": "user", "content": search_query}
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],
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"temperature": 0.2,
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"max_tokens": 500
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}
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try:
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async def search_llm_redundancy(details, llm, llm_name):
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"""
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Queries another LLM for additional, general travel ideas or insights.
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This function was the main cause of the TypeError, now fixed to return a list.
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"""
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print(f"Querying {llm_name} for additional ideas...")
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prompt = f"""As a helpful travel assistant, provide some brief travel suggestions for a trip based on these details: {details}.
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Focus on general tips, hidden gems, or activity ideas. Do not suggest specific prices or flights."""
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messages = [SystemMessage(content=prompt), HumanMessage(content="What are your suggestions?")]
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response = await llm.ainvoke(messages)
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# FIX: Ensure this always returns a list of dictionaries, even if it's just one item.
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return [{"source": llm_name, "type": "insight", "details": response.content}]
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# --- 4. MAIN BOT LOGIC (ask_bot function) ---
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search_expedia(structured_request), # Hotel search task (simulated)
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scrape_Google_Flights(structured_request), # Another flight source task (simulated scraping)
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search_get_your_guide(structured_request), # Activities search task (simulated)
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scrape_flight_vouchers(structured_request), # Flight voucher search task (
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search_llm_redundancy(structured_request, llm_openai_creative, "ChatGPT (Creative)"), # AI insights from OpenAI (LIVE)
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search_perplexity_web(structured_request) #
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# search_llm_redundancy(structured_request, llm_gemini_search, "Gemini"), # Uncomment for Gemini insights
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]
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for res in results:
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if isinstance(res, Exception):
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print(f"A search task failed: {res}")
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elif res:
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all_results.extend(res)
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flights = sorted([r for r in all_results if r['type'] == 'flight'], key=lambda x: x['price'])
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hotels = sorted([r for r in all_results if r['type'] == 'hotel'], key=lambda x: x['price'])
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@@ -272,7 +296,7 @@ async def ask_bot(question):
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output_text += "_No specific flight vouchers or codes found at this time._\n"
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output_text += "\n"
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# Format AI Insights section (from redundant LLMs
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output_text += "### 💡 Additional AI Insights (for Redundancy)\n"
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if insights:
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for insight in insights:
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@@ -289,8 +313,8 @@ async def ask_bot(question):
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with gr.Blocks(theme=gr.themes.Soft()) as iface:
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gr.Markdown(
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"""
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# ✨ The Ultimate Global Travel Planner Bot ✨
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Your smart AI assistant for finding the best flights, hotels, and activities worldwide!
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"""
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)
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with gr.Row():
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import asyncio
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import json
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import datetime
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import re # For regular expressions (used in voucher scraping)
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from dotenv import load_dotenv
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# --- Playwright Imports for Web Scraping ---
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from playwright.async_api import async_playwright
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# --- Langchain Imports ---
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.output_parsers import JsonOutputParser
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_openai import ChatOpenAI
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain_core.messages import SystemMessage, HumanMessage
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# Load environment variables from .env file (for local testing).
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# --- 1. API KEY CHECK ---
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# This block ensures that the necessary API keys are set before the application starts.
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try:
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openai_api_key = os.environ["OPENAI_API_KEY"]
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except KeyError:
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raise EnvironmentError("Missing OPENAI_API_KEY. Please set it in a .env file locally, or in Hugging Face Space secrets.")
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# Removed PERPLEXITY_API_KEY check as it's no longer used.
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# --- 2. PYDANTIC DATA STRUCTURE DEFINITION ---
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async def scrape_flight_vouchers(details):
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"""
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Performs real web scraping for flight vouchers and promo codes using Playwright.
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This function navigates to common deal sites and attempts to extract voucher information.
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Note: Web scraping is highly dependent on website structure and may require frequent updates.
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"""
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print(f"Starting real web scraping for flight vouchers related to: {details.get('destination_city', 'general travel')}")
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vouchers_found = []
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# Define target websites. Removed Groupon due to persistent ERR_HTTP2_PROTOCOL_ERROR.
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target_urls = [
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"https://www.retailmenot.com/coupons/flights",
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]
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browser = None # Initialize browser variable outside the try block
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try:
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async with async_playwright() as p:
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# Launch a headless Chromium browser (runs in the background without a visual window).
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browser = await p.chromium.launch(headless=True)
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# Add a human-like User-Agent to try and bypass basic bot detection.
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context = await browser.new_context(
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user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
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)
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page = await context.new_page()
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for url in target_urls:
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try:
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print(f"Navigating to: {url}")
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# Use 'domcontentloaded' or 'load' as 'networkidle' can sometimes wait indefinitely.
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await page.goto(url, wait_until='domcontentloaded', timeout=60000)
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# --- Generic scraping strategy ---
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deals_locator = page.locator('div:has-text("coupon code"), div:has-text("promo code"), div:has-text("discount"), '
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'a[href*="deal"], a[href*="promo"], a[href*="discount"], '
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'[class*="deal"], [class*="promo"]')
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deals = await deals_locator.all()
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for i, deal_elem in enumerate(deals):
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if len(vouchers_found) >= 3: # Limit the number of vouchers found
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break
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try:
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text_content = await deal_elem.inner_text()
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link = await deal_elem.get_attribute('href') if await deal_elem.get_attribute('href') else url
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if len(text_content.strip()) > 20 and \
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("flight" in text_content.lower() or \
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"travel" in text_content.lower() or \
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details.get('destination_city', '').lower() in text_content.lower()):
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code_match = re.search(r'\b[A-Z0-9]{4,10}\b', text_content)
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code = code_match.group(0) if code_match else "N/A"
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vouchers_found.append({
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"source": f"Scraped from {url.split('/')[2]}",
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"type": "voucher",
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"details": f"{text_content[:150]}..." if len(text_content) > 150 else text_content,
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"price": f"Code: {code}",
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"link": link
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})
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except Exception as e_deal:
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print(f"Error processing deal element on {url}: {e_deal}")
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continue
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except Exception as e_url_nav: # Catching general Exception for Playwright errors
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print(f"Navigation error for {url}: {e_url_nav}")
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vouchers_found.append({
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"source": f"Scraper Error for {url.split('/')[2]}",
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"type": "voucher",
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"details": f"Could not retrieve vouchers from {url.split('/')[2]} due to navigation error. (Error: {e_url_nav})",
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"price": "N/A",
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"link": url
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})
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continue
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except Exception as e_browser_launch: # Catching general Exception for browser launch errors
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print(f"Playwright browser launch error: {e_browser_launch}. Ensure `playwright install` was run.")
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return [{
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"source": "Scraper Initialization Error",
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"type": "voucher",
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"details": f"Failed to start web scraper: {e_browser_launch}. Please ensure Playwright browsers are installed locally and on Hugging Face.",
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"price": "N/A",
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"link": "#"
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}]
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except Exception as e_general:
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print(f"An unexpected error occurred during scraping: {e_general}")
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return [{
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"source": "Scraper General Error",
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"type": "voucher",
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"details": f"An unexpected error prevented voucher scraping: {e_general}",
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"price": "N/A",
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"link": "#"
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}]
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finally:
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if browser:
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await browser.close()
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if not vouchers_found:
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print("No specific vouchers found during scraping.")
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return [{
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"source": "Web Scraping",
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"type": "voucher",
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"details": "No specific flight vouchers or codes were found matching your criteria on the browsed sites.",
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"price": "N/A",
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"link": "#"
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}]
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return vouchers_found
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# search_perplexity_web function is removed
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async def search_llm_redundancy(details, llm, llm_name):
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"""
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Queries another LLM for additional, general travel ideas or insights.
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"""
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print(f"Querying {llm_name} for additional ideas...")
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prompt = f"""As a helpful travel assistant, provide some brief travel suggestions for a trip based on these details: {details}.
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Focus on general tips, hidden gems, or activity ideas. Do not suggest specific prices or flights."""
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messages = [SystemMessage(content=prompt), HumanMessage(content="What are your suggestions?")]
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response = await llm.ainvoke(messages)
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return [{"source": llm_name, "type": "insight", "details": response.content}]
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# --- 4. MAIN BOT LOGIC (ask_bot function) ---
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search_expedia(structured_request), # Hotel search task (simulated)
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scrape_Google_Flights(structured_request), # Another flight source task (simulated scraping)
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search_get_your_guide(structured_request), # Activities search task (simulated)
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scrape_flight_vouchers(structured_request), # NEW: Live Flight voucher search task (Playwright)
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search_llm_redundancy(structured_request, llm_openai_creative, "ChatGPT (Creative)"), # AI insights from OpenAI (LIVE)
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+
# search_perplexity_web(structured_request) # Removed Perplexity AI task
|
| 232 |
# search_llm_redundancy(structured_request, llm_gemini_search, "Gemini"), # Uncomment for Gemini insights
|
| 233 |
]
|
| 234 |
|
|
|
|
| 240 |
for res in results:
|
| 241 |
if isinstance(res, Exception):
|
| 242 |
print(f"A search task failed: {res}")
|
| 243 |
+
elif res:
|
| 244 |
+
all_results.extend(res)
|
| 245 |
|
| 246 |
flights = sorted([r for r in all_results if r['type'] == 'flight'], key=lambda x: x['price'])
|
| 247 |
hotels = sorted([r for r in all_results if r['type'] == 'hotel'], key=lambda x: x['price'])
|
|
|
|
| 296 |
output_text += "_No specific flight vouchers or codes found at this time._\n"
|
| 297 |
output_text += "\n"
|
| 298 |
|
| 299 |
+
# Format AI Insights section (from redundant LLMs)
|
| 300 |
output_text += "### 💡 Additional AI Insights (for Redundancy)\n"
|
| 301 |
if insights:
|
| 302 |
for insight in insights:
|
|
|
|
| 313 |
with gr.Blocks(theme=gr.themes.Soft()) as iface:
|
| 314 |
gr.Markdown(
|
| 315 |
"""
|
| 316 |
+
# ✨ The Ultimate Global Travel Planner Bot - Bazinga Edition ✨
|
| 317 |
+
Your smart AI assistant for finding the best flights, hotels, and activities worldwide BAZINGA!
|
| 318 |
"""
|
| 319 |
)
|
| 320 |
with gr.Row():
|