converting back to streamlit

README.md

@@ -3,8 +3,8 @@ title: URL Summarizer
 emoji: 🏢
 colorFrom: indigo
 colorTo: indigo
-sdk: gradio
-sdk_version: 3.0.2
+sdk: streamlit
+sdk_version: 1.9.0
 app_file: app.py
 pinned: false
 ---

app.py

@@ -1,4 +1,4 @@
-import gradio as gr
+import streamlit as st
 from haystack.document_stores import InMemoryDocumentStore
 from haystack.nodes import FARMReader, PreProcessor, PDFToTextConverter, TfidfRetriever
 import logging
@@ -24,18 +24,10 @@ def pdf_to_document_store(pdf_files):
     preprocessed_docs = preprocessor.process(documents)
     document_store.write_documents(preprocessed_docs)
     return None
+    
+uploaded_files = st.file_uploader("Choose PDF files", accept_multiple_files=True)
 
+if uploaded_files is not None:
+    pdf_to_document_store(uploaded_files)
+st.write(document_store.get_document_count)
 
-def summarize(files):
-    if files is not None:
-        document_store.delete_all_documents()
-        pdf_to_document_store(files)
-    return document_store.get_document_count()
-
-title = "Summarize one or more PDFs with a Haystack Summariser pipeline"
-iface = gr.Interface(fn=summarize,
-                    inputs=[gr.inputs.File(file_count="multiple", type="file", label="Upload some PDFs")],
-                    outputs="text",
-                    title=title,
-                    theme="huggingface")
-iface.launch()