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https://github.com/QuivrHQ/quivr.git
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feat(url): moved to own file
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parent
ea5883ddb9
commit
766a13ed9b
40
files.py
40
files.py
@ -8,6 +8,7 @@ from loaders.markdown import process_markdown
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from loaders.html import process_html
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from utils import compute_sha1_from_content
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from loaders.pdf import process_pdf
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from loaders.html import get_html, create_html_file, delete_tempfile
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import requests
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import re
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import unicodedata
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@ -30,7 +31,7 @@ file_processors = {
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}
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def file_uploader(supabase, openai_key, vector_store):
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files = st.file_uploader("Upload a file", accept_multiple_files=True, type=list(file_processors.keys()))
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files = st.file_uploader("**Upload a file**", accept_multiple_files=True, type=list(file_processors.keys()))
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if st.button("Add to Database"):
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if files is not None:
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for file in files:
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@ -60,8 +61,8 @@ def filter_file(file, supabase, vector_store):
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return False
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def url_uploader(supabase, openai_key, vector_store):
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url = st.text_input("## Add an url",placeholder="https://www.quiver.app")
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button = st.button("Add the website page to the database")
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url = st.text_area("## Add an url",placeholder="https://www.quivr.app")
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button = st.button("Add the URL to the database")
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if button:
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html = get_html(url)
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if html:
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@ -72,36 +73,3 @@ def url_uploader(supabase, openai_key, vector_store):
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else:
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st.write(f"❌ Failed to access to {url} .")
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def get_html(url):
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response = requests.get(url)
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if response.status_code == 200:
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return response.text
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else:
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return None
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def create_html_file(url, content):
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file_name = slugify(url) + ".html"
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temp_file_path = os.path.join(tempfile.gettempdir(), file_name)
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with open(temp_file_path, 'w') as temp_file:
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temp_file.write(content)
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record = UploadedFileRec(id=None, name=file_name, type='text/html', data=open(temp_file_path, 'rb').read())
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uploaded_file = UploadedFile(record)
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return uploaded_file, temp_file_path
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def delete_tempfile(temp_file_path, url, ret):
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try:
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os.remove(temp_file_path)
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if ret:
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st.write(f"✅ Content saved... {url} ")
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except OSError as e:
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print(f"Error while deleting the temporary file: {str(e)}")
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if ret:
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st.write(f"❌ Error while saving content... {url} ")
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def slugify(text):
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text = unicodedata.normalize('NFKD', text).encode('ascii', 'ignore').decode('utf-8')
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text = re.sub(r'[^\w\s-]', '', text).strip().lower()
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text = re.sub(r'[-\s]+', '-', text)
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return text
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@ -1,5 +1,47 @@
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from .common import process_file
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from langchain.document_loaders import UnstructuredHTMLLoader
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import requests
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import re
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import unicodedata
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import tempfile
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import os
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import streamlit as st
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from streamlit.runtime.uploaded_file_manager import UploadedFileRec, UploadedFile
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def process_html(vector_store, file):
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return process_file(vector_store, file, UnstructuredHTMLLoader, ".html")
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return process_file(vector_store, file, UnstructuredHTMLLoader, ".html")
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def get_html(url):
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response = requests.get(url)
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if response.status_code == 200:
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return response.text
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else:
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return None
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def create_html_file(url, content):
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file_name = slugify(url) + ".html"
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temp_file_path = os.path.join(tempfile.gettempdir(), file_name)
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with open(temp_file_path, 'w') as temp_file:
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temp_file.write(content)
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record = UploadedFileRec(id=None, name=file_name, type='text/html', data=open(temp_file_path, 'rb').read())
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uploaded_file = UploadedFile(record)
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return uploaded_file, temp_file_path
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def delete_tempfile(temp_file_path, url, ret):
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try:
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os.remove(temp_file_path)
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if ret:
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st.write(f"✅ Content saved... {url} ")
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except OSError as e:
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print(f"Error while deleting the temporary file: {str(e)}")
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if ret:
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st.write(f"❌ Error while saving content... {url} ")
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def slugify(text):
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text = unicodedata.normalize('NFKD', text).encode('ascii', 'ignore').decode('utf-8')
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text = re.sub(r'[^\w\s-]', '', text).strip().lower()
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text = re.sub(r'[-\s]+', '-', text)
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return text
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10
main.py
10
main.py
@ -63,8 +63,14 @@ if user_choice == 'Add Knowledge':
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"Select Chunk Size", 100, 1000, st.session_state['chunk_size'], 50)
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st.session_state['chunk_overlap'] = st.sidebar.slider(
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"Select Chunk Overlap", 0, 100, st.session_state['chunk_overlap'], 10)
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file_uploader(supabase, openai_api_key, vector_store)
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url_uploader(supabase, openai_api_key, vector_store)
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# Create two columns for the file uploader and URL uploader
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col1, col2 = st.columns(2)
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with col1:
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file_uploader(supabase, openai_api_key, vector_store)
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with col2:
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url_uploader(supabase, openai_api_key, vector_store)
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elif user_choice == 'Chat with your Brain':
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# Display model and temperature selection only when asking questions
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st.sidebar.title("Configuration")
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