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Update app.py

46232d4 verified almost 2 years ago

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import streamlit as st
import requests
import pandas as pd
import time
import urllib.parse

# Base API URL for Open Library
BASE_API_URL = "https://openlibrary.org/search.json"

# List of subjects for selection
SUBJECTS = [
    "Classic Literature", "Modern Literature", "Postmodern Literature", "Romanticism",
    "Realism", "Naturalism", "Existentialism", "Absurdism", "Gothic Fiction", "Science Fiction",
    "Fantasy Literature", "Historical Fiction", "Mystery and Detective Fiction", "Horror Literature",
    "Adventure Novels", "Bildungsroman", "Epistolary Novels", "Satire", "Tragedy", "Comedy"
]

def fetch_books(subjects, time_facet):
    # Join the selected subjects into one search query
    query_subject = " ".join(subjects)
    
    # URL-encode the query components
    query_subject_encoded = urllib.parse.quote_plus(query_subject)
    time_facet_encoded = urllib.parse.quote_plus(time_facet)
    
    # Build the full URL with the mode and time_facet parameters
    query_url = f"{BASE_API_URL}?q={query_subject_encoded}&mode=everything&time_facet={time_facet_encoded}"
    st.write(f"🔗 Query URL: {query_url}")  # Optional: Display the URL for debugging purposes
    
    response = requests.get(query_url)
    books = []
    
    if response.status_code == 200:
        data = response.json()
        for book in data.get("docs", []):
            books.append({
                "title": book.get("title", "N/A"),
                "author": ", ".join(book.get("author_name", ["N/A"])),
                "first_publish_year": book.get("first_publish_year", "N/A")
            })
    else:
        st.error("Error fetching data from Open Library.")
    
    time.sleep(1)  # A short delay to be respectful to the API server
    return books

# Streamlit UI
st.title("📚 Open Library Book Finder")
st.write("Search for books by subject and a custom time facet.")

# Let the user select one or more subjects
selected_subjects = st.multiselect("Select subject(s)", SUBJECTS, default=["Classic Literature"])

# Let the user enter a custom time facet
time_facet = st.text_input("Enter a time facet (e.g., 20th century)")

if st.button("Find Books"):
    if not time_facet:
        st.error("Please enter a time facet!")
    else:
        st.write("🔍 Searching books...")
        books = fetch_books(selected_subjects, time_facet)
        if books:
            df = pd.DataFrame(books)
            st.write(df)
        else:
            st.write("❌ No books found for the selected criteria.")

	import streamlit as st
	import requests
	import pandas as pd
	import time
	import urllib.parse

	# Base API URL for Open Library
	BASE_API_URL = "https://openlibrary.org/search.json"

	# List of subjects for selection
	SUBJECTS = [
	"Classic Literature", "Modern Literature", "Postmodern Literature", "Romanticism",
	"Realism", "Naturalism", "Existentialism", "Absurdism", "Gothic Fiction", "Science Fiction",
	"Fantasy Literature", "Historical Fiction", "Mystery and Detective Fiction", "Horror Literature",
	"Adventure Novels", "Bildungsroman", "Epistolary Novels", "Satire", "Tragedy", "Comedy"
	]

	def fetch_books(subjects, time_facet):
	# Join the selected subjects into one search query
	query_subject = " ".join(subjects)

	# URL-encode the query components
	query_subject_encoded = urllib.parse.quote_plus(query_subject)
	time_facet_encoded = urllib.parse.quote_plus(time_facet)

	# Build the full URL with the mode and time_facet parameters
	query_url = f"{BASE_API_URL}?q={query_subject_encoded}&mode=everything&time_facet={time_facet_encoded}"
	st.write(f"🔗 Query URL: {query_url}") # Optional: Display the URL for debugging purposes

	response = requests.get(query_url)
	books = []

	if response.status_code == 200:
	data = response.json()
	for book in data.get("docs", []):
	books.append({
	"title": book.get("title", "N/A"),
	"author": ", ".join(book.get("author_name", ["N/A"])),
	"first_publish_year": book.get("first_publish_year", "N/A")
	})
	else:
	st.error("Error fetching data from Open Library.")

	time.sleep(1) # A short delay to be respectful to the API server
	return books

	# Streamlit UI
	st.title("📚 Open Library Book Finder")
	st.write("Search for books by subject and a custom time facet.")

	# Let the user select one or more subjects
	selected_subjects = st.multiselect("Select subject(s)", SUBJECTS, default=["Classic Literature"])

	# Let the user enter a custom time facet
	time_facet = st.text_input("Enter a time facet (e.g., 20th century)")

	if st.button("Find Books"):
	if not time_facet:
	st.error("Please enter a time facet!")
	else:
	st.write("🔍 Searching books...")
	books = fetch_books(selected_subjects, time_facet)
	if books:
	df = pd.DataFrame(books)
	st.write(df)
	else:
	st.write("❌ No books found for the selected criteria.")