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Update app.py
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app.py
CHANGED
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@@ -9,6 +9,7 @@ import subprocess
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import io
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import time
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import urllib.parse
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from langchain_google_genai import ChatGoogleGenerativeAI, GoogleGenerativeAIEmbeddings
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from langchain.vectorstores import FAISS
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from langchain.text_splitter import CharacterTextSplitter
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@@ -20,6 +21,9 @@ from langchain_community.document_loaders import PlaywrightURLLoader
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import requests
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# Import Supadata and initialize the client
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from supadata import Supadata, SupadataError
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SUPADATA_API_KEY = os.getenv("SUPADATA")
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supadata = Supadata(api_key=SUPADATA_API_KEY)
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@@ -39,6 +43,7 @@ graph_config = {
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"headless": True
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}
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def get_data(search_term):
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"""
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Run the SearchGraph for a given search term.
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@@ -94,56 +99,98 @@ def get_data(search_term):
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SUPADATA_API_KEY = os.getenv("SUPADATA")
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def get_data_from_url(url):
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loader = PlaywrightURLLoader(urls=[url], remove_selectors=["header", "footer"])
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data = loader.aload()
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test_s = data
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"""
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Scrape the provided URL using
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"""
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page_content = None # Placeholder for storing scraped page content
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#
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web_content = supadata.web.scrape(url)
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page_content = web_content.content
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except TypeError as te:
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if "unexpected keyword argument 'type'" in str(te):
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st.warning("Falling back to Supadata API due to unexpected keyword 'type' error.")
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else:
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st.error(f"Unexpected error in Supadata scrape: {te}, {test_s}")
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# **Step 2: If Supadata's Built-in Scraper Fails, Use Supadata API**
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if not page_content:
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try:
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except Exception as e:
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st.error(f"Error
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try:
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else:
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st.error(f"
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return {}
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-
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-
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# **Pass Content to Gemini AI**
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full_prompt = (
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@@ -191,8 +238,6 @@ def get_data_from_url(url):
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def process_multiple_search_terms(search_terms):
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"""
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Process multiple search terms with progress tracking.
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@@ -310,6 +355,13 @@ def main():
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"Enter URL to scrape for grant opportunities",
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placeholder="https://example.com/grants"
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)
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# Execute based on input type selection
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if input_type == "Search Query":
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@@ -329,8 +381,8 @@ def main():
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else: # URL input
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if st.sidebar.button("🔍 Scrape URL for Grant Opportunities"):
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if url_input:
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with st.spinner("Scraping URL... Please wait patiently."):
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result = get_data_from_url(url_input)
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st.session_state.scraped_data = result
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if result.get("grants"):
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st.sidebar.success(f"✅ Found {len(result['grants'])} grant opportunities from the URL!")
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@@ -408,4 +460,4 @@ def main():
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)
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if __name__ == "__main__":
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main()
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import io
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import time
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import urllib.parse
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import asyncio
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from langchain_google_genai import ChatGoogleGenerativeAI, GoogleGenerativeAIEmbeddings
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from langchain.vectorstores import FAISS
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from langchain.text_splitter import CharacterTextSplitter
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import requests
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# Import Supadata and initialize the client
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from supadata import Supadata, SupadataError
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# Import Crawl4AI
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from crawl4ai import AsyncWebCrawler
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SUPADATA_API_KEY = os.getenv("SUPADATA")
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supadata = Supadata(api_key=SUPADATA_API_KEY)
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"headless": True
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}
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def get_data(search_term):
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"""
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Run the SearchGraph for a given search term.
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SUPADATA_API_KEY = os.getenv("SUPADATA")
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def get_data_from_url(url, scraping_tool="supadata"):
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"""
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Scrape the provided URL using the selected scraping tool.
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Args:
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url: The URL to scrape
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scraping_tool: Either "supadata", "crawl4ai", or "playwright"
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Returns:
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Dictionary containing the extracted grant data
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"""
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page_content = None # Placeholder for storing scraped page content
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# Choose the scraping method based on the selected tool
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if scraping_tool == "crawl4ai":
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try:
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# Use Crawl4AI for scraping
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async def run_crawler():
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async with AsyncWebCrawler() as crawler:
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result = await crawler.arun(url=url)
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return result.markdown
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# Run the async crawler in a synchronous context
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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page_content = loop.run_until_complete(run_crawler())
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loop.close()
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st.success("Successfully scraped using Crawl4AI")
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except Exception as e:
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st.error(f"Error using Crawl4AI: {e}")
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# Fall back to Supadata if Crawl4AI fails
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st.warning("Falling back to Supadata scraper...")
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scraping_tool = "supadata"
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if scraping_tool == "playwright":
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try:
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loader = PlaywrightURLLoader(urls=[url], remove_selectors=["header", "footer"])
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data = loader.aload()
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page_content = data[0].page_content if data else ""
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st.success("Successfully scraped using Playwright")
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except Exception as e:
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st.error(f"Error using Playwright: {e}")
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# Fall back to Supadata if Playwright fails
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st.warning("Falling back to Supadata scraper...")
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scraping_tool = "supadata"
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if scraping_tool == "supadata":
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# **Step 1: Attempt Supadata's Built-in Scraper**
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try:
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web_content = supadata.web.scrape(url)
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page_content = web_content.content
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st.success("Successfully scraped using Supadata built-in scraper")
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except TypeError as te:
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if "unexpected keyword argument 'type'" in str(te):
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st.warning("Falling back to Supadata API due to unexpected keyword 'type' error.")
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else:
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st.error(f"Unexpected error in Supadata scrape: {te}")
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# **Step 2: If Supadata's Built-in Scraper Fails, Use Supadata API**
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if not page_content:
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try:
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api_url = "https://api.supadata.ai/v1/web/scrape"
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headers = {"X-API-Key": SUPADATA_API_KEY}
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response = requests.get(api_url, headers=headers, params={"url": url})
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if response.status_code == 200:
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page_content = response.json().get("content", "")
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st.success("Successfully scraped using Supadata API")
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else:
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st.error(f"Supadata API failed with status {response.status_code}")
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except Exception as e:
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st.error(f"Error calling Supadata API: {e}")
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# **Step 3: If Supadata API Fails, Use Direct Web Request**
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if not page_content:
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try:
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r = requests.get(url, timeout=10)
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if r.status_code == 200:
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page_content = r.text
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st.success("Successfully retrieved content with direct request")
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else:
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st.error(f"Manual scraping failed with status code {r.status_code}")
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return {}
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except Exception as e:
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st.error(f"Manual scraping error: {e}")
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return {}
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# If we still don't have content after all attempts
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if not page_content:
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st.error("Failed to retrieve content from the URL with all available methods")
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return {}
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# **Pass Content to Gemini AI**
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full_prompt = (
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def process_multiple_search_terms(search_terms):
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"""
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Process multiple search terms with progress tracking.
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"Enter URL to scrape for grant opportunities",
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placeholder="https://example.com/grants"
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)
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# Scraping tool selector
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scraping_tool = st.sidebar.radio(
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"Select Scraping Tool:",
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("Supadata", "Crawl4AI", "Playwright"),
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key="scraping_tool_selector"
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)
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# Execute based on input type selection
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if input_type == "Search Query":
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else: # URL input
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if st.sidebar.button("🔍 Scrape URL for Grant Opportunities"):
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if url_input:
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with st.spinner(f"Scraping URL using {scraping_tool}... Please wait patiently."):
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result = get_data_from_url(url_input, scraping_tool.lower())
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st.session_state.scraped_data = result
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if result.get("grants"):
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st.sidebar.success(f"✅ Found {len(result['grants'])} grant opportunities from the URL!")
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)
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if __name__ == "__main__":
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main()
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