Added reqs and tried it out

app.py

@@ -1,41 +1,61 @@
 import streamlit as st
 
+from streamlit_pdf_viewer import pdf_viewer
+
 st.set_page_config(layout="wide")
 
-with st.sidebar:
-    st.title('Document Summarization and QA System')
-    st.markdown('''
-    ## About this application
-    Upload a pdf to ask questions about it. This retrieval-augmented generation (RAG) workflow uses:
-    - [Streamlit](https://streamlit.io/)
-    - [LlamaIndex](https://docs.llamaindex.ai/en/stable/)
-    - [OpenAI](https://platform.openai.com/docs/models)
-    ''')
-
-    st.write('Made by ***Nate Mahynski***')
-    st.write('nathan.mahynski@nist.gov')
-
-    # Select Provider
-    provider = st.selectbox(
-        label="Select LLM Provider",
-        options=['openai', 'huggingface'],
-        index=0
-    )
-
-    # Select LLM
-    if provider == 'openai':
-        llm_list = ['gpt-3.5-turbo', 'gpt-4', 'gpt-4-turbo', 'gpt-4o']
-    else:
-        llm_list = []
-
-    llm = st.selectbox(
-        label="Select LLM Model",
-        options=llm_list,
-        index=0
-    )
-
-    # Enter Token
-    token = st.text_input(
-        "Enter your token",
-        value=None
-    )
+def main():
+    with st.sidebar:
+        st.title('Document Summarization and QA System')
+        # st.markdown('''
+        # ## About this application
+        # Upload a pdf to ask questions about it. This retrieval-augmented generation (RAG) workflow uses:
+        # - [Streamlit](https://streamlit.io/)
+        # - [LlamaIndex](https://docs.llamaindex.ai/en/stable/)
+        # - [OpenAI](https://platform.openai.com/docs/models)
+        # ''')
+
+        # st.write('Made by ***Nate Mahynski***')
+        # st.write('nathan.mahynski@nist.gov')
+
+        # Select Provider
+        provider = st.selectbox(
+            label="Select LLM Provider",
+            options=['openai', 'huggingface'],
+            index=0
+        )
+
+        # Select LLM
+        if provider == 'openai':
+            llm_list = ['gpt-3.5-turbo', 'gpt-4', 'gpt-4-turbo', 'gpt-4o']
+        else:
+            llm_list = []
+
+        llm = st.selectbox(
+            label="Select LLM Model",
+            options=llm_list,
+            index=0
+        )
+
+        # Enter Token
+        token = st.text_input(
+            "Enter your token",
+            value=None
+        )
+
+        uploaded_file = st.file_uploader(
+            "Choose a PDF file to upload", 
+            type=['pdf'], 
+            accept_multiple_files=False
+        )
+
+        if uploaded_file is not None:
+            # Parse the file
+            pass
+
+    col1, col2 = st.columns(2)
+
+    with col2:
+        if uploaded_file is not None:
+            # Display the pdf
+            pdf_viewer(input=uploaded_file, width=700)    

requirements.txt

@@ -0,0 +1 @@
+streamlit-pdf-viewer