Upload app.py

app.py

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+import streamlit as st
+import fitz
+from transformers import pipeline
+import os
+import requests
+import io
+from PIL import Image
+
+API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
+headers = {"Authorization": "Bearer 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"}
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+#def extract_paragraph(texte):
+#	paragraph = texte.split("\n\n")
+#	return paragraph
+
+st.title("PDF2SLIDE")
+
+uploaded_file = st.file_uploader("Selectionnez un PDF", type=["pdf"])
+
+if uploaded_file is not None:
+	pdf_document = fitz.open(stream=uploaded_file.read(), filetype="pdf")
+
+	paragraphs = []
+
+	for page_number in range(pdf_document.page_count):
+		page = pdf_document.load_page(page_number)
+		page_text = page.get_text()
+		#print(page_text)
+		paragraphs = page_text.split("\n")
+		for paragraph in paragraphs:
+			print(paragraph)
+			print(424242)
+