Update app.py

app.py

@@ -2,19 +2,13 @@ import streamlit as st
 from googlesearch import search
 import requests
 from bs4 import BeautifulSoup
-import chunk  # Import the chunking functionality from app2.py
+import chunk  # Import the chunking functions from chunk.py
 
 # Function to perform Google search and return the first two links
 def google_search(query):
     try:
-        query = query + "/t site:https://medium.com/"
-        search_results = search(query, num_results=10)  # Get up to 10 results
-        first_two_links = []
-        for i, link in enumerate(search_results):
-            if i < 2:
-                first_two_links.append(link)
-            else:
-                break
+        search_results = search(query, num_results=2)  # Get first two results
+        first_two_links = [next(search_results, None), next(search_results, None)]
         return first_two_links
     except Exception as e:
         st.error(f"An error occurred: {e}")
@@ -34,15 +28,11 @@ def fetch_webpage_content(url):
 def scrape_text(webpage_content):
     try:
         soup = BeautifulSoup(webpage_content, 'html.parser')
-        # Remove all script and style elements
         for script in soup(["script", "style"]):
             script.decompose()
         text = soup.get_text()
-        # Break the text into lines and remove leading/trailing spaces
         lines = (line.strip() for line in text.splitlines())
-        # Break multi-headlines into a line each
         chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
-        # Drop blank lines
         text = '\n'.join(chunk for chunk in chunks if chunk)
         return text
     except Exception as e:
@@ -50,7 +40,7 @@ def scrape_text(webpage_content):
         return None
 
 # Streamlit app UI
-st.title("Search Link Finder")
+st.title("Search and Chunk Webpage Content")
 
 # Input field for search query
 query = st.text_input("Enter search query", "")
@@ -60,8 +50,8 @@ if st.button("Search"):
     if query:
         first_two_links = google_search(query)
         if first_two_links:
-            for i, link in enumerate(first_two_links):
-                st.success(f"Link {i+1}: [Click here]({link})")
+            for i, link in enumerate(first_two_links, 1):
+                st.success(f"Link {i}: [Click here]({link})")
 
                 # Fetch webpage content
                 webpage_content = fetch_webpage_content(link)
@@ -69,19 +59,12 @@ if st.button("Search"):
                     # Scrape text from webpage content
                     scraped_text = scrape_text(webpage_content)
                     if scraped_text:
-                        st.write(f"Scraped Content from Link {i+1} (Chunked):")
-                        
-                        # Call the chunking function from app2.py
-                        chunk.display_chunks(scraped_text)
-                        
-                        # Option to download the entire scraped content
-                        st.download_button(
-                            label=f"Download Full Webpage Content from Link {i+1}",
-                            data=scraped_text,
-                            file_name=f"webpage_content_{i+1}.txt",
-                            mime="text/plain"
-                        )
-        else:
-            st.warning("No results found")
-    else:
-        st.error("Please enter a query")
+                        # Chunk the scraped text using chunk.py
+                        chunked_text = chunk.chunk_text(scraped_text)
+
+                        st.write(f"Chunked Data for Link {i}:")
+                        for chunk_part in chunked_text:
+                            st.write(chunk_part)
+
+                        # Save and download chunked data using the function from chunk.py
+                        chunk.save_and_download_chunked_data(chunked_text, file_name=f"chunked_data_link_{i}.txt")