Upload main.py

main.py

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+# main.py
+import os
+import tempfile
+
+import streamlit as st
+from files import file_uploader, url_uploader
+from question import chat_with_doc
+from brain import brain
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.vectorstores import SupabaseVectorStore
+from supabase import Client, create_client
+from explorer import view_document
+from stats import get_usage_today
+
+supabase_url = st.secrets.supabase_url
+supabase_key = st.secrets.supabase_service_key
+openai_api_key = st.secrets.openai_api_key
+anthropic_api_key = st.secrets.anthropic_api_key
+supabase: Client = create_client(supabase_url, supabase_key)
+self_hosted = st.secrets.self_hosted
+
+embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
+vector_store = SupabaseVectorStore(
+    supabase, embeddings, table_name="documents")
+models = ["gpt-3.5-turbo", "gpt-4"]
+if anthropic_api_key:
+    models += ["claude-v1", "claude-v1.3",
+               "claude-instant-v1-100k", "claude-instant-v1.1-100k"]
+
+# Set the theme
+st.set_page_config(
+    page_title="KPMG GPT",
+    layout="wide",
+    initial_sidebar_state="expanded",
+)
+
+
+st.title("KPMG GPT")
+st.markdown("")
+if self_hosted == "false":
+    st.markdown('**📢 Note: In the public demo, access to functionality is restricted. You can only use the GPT-3.5-turbo model and upload files up to 1Mb. To use more models and upload larger files, consider self-hosting Quivr.**')
+
+st.markdown("---\n\n")
+
+st.session_state["overused"] = False
+if self_hosted == "false":
+    usage = get_usage_today(supabase)
+    if usage > st.secrets.usage_limit:
+        st.markdown(
+            f"<span style='color:red'>You have used {usage} tokens today, which is more than your daily limit of {st.secrets.usage_limit} tokens. Please come back later or consider self-hosting.</span>", unsafe_allow_html=True)
+        st.session_state["overused"] = True
+    else:
+        st.markdown(f"<span style='color:blue'>Usage today: {usage} tokens out of {st.secrets.usage_limit}</span>", unsafe_allow_html=True)
+    st.write("---")
+    
+
+
+
+# Initialize session state variables
+if 'model' not in st.session_state:
+    st.session_state['model'] = "gpt-3.5-turbo"
+if 'temperature' not in st.session_state:
+    st.session_state['temperature'] = 0.0
+if 'chunk_size' not in st.session_state:
+    st.session_state['chunk_size'] = 500
+if 'chunk_overlap' not in st.session_state:
+    st.session_state['chunk_overlap'] = 0
+if 'max_tokens' not in st.session_state:
+    st.session_state['max_tokens'] = 256
+
+# Create a radio button for user to choose between adding knowledge or asking a question
+user_choice = st.radio(
+    "Choose an action", ('Add Knowledge', 'Chat with your Brain', 'Forget', "Explore"))
+
+st.markdown("---\n\n")
+
+if user_choice == 'Add Knowledge':
+    # Display chunk size and overlap selection only when adding knowledge
+    st.sidebar.title("Configuration")
+    st.sidebar.markdown(
+        "Choose your chunk size and overlap for adding knowledge.")
+    st.session_state['chunk_size'] = st.sidebar.slider(
+        "Select Chunk Size", 100, 2000, st.session_state['chunk_size'], 50)
+    st.session_state['chunk_overlap'] = st.sidebar.slider(
+        "Select Chunk Overlap", 0, 200, st.session_state['chunk_overlap'], 10)
+    
+    # Create two columns for the file uploader and URL uploader
+    col1, col2 = st.columns(2)
+    
+    with col1:
+        file_uploader(supabase, vector_store)
+    with col2:
+        url_uploader(supabase, vector_store)
+elif user_choice == 'Chat with your Brain':
+    # Display model and temperature selection only when asking questions
+    st.sidebar.title("Configuration")
+    st.sidebar.markdown(
+        "Choose your model and temperature for asking questions.")
+    if self_hosted != "false":
+        st.session_state['model'] = st.sidebar.selectbox(
+        "Select Model", models, index=(models).index(st.session_state['model']))
+    else:
+        st.sidebar.write("**Model**: gpt-3.5-turbo")
+        st.sidebar.write("**Self Host to unlock more models such as claude-v1 and GPT4**")
+        st.session_state['model'] = "gpt-3.5-turbo"
+    st.session_state['temperature'] = st.sidebar.slider(
+        "Select Temperature", 0.0, 1.0, st.session_state['temperature'], 0.1)
+    if st.secrets.self_hosted != "false":
+        st.session_state['max_tokens'] = st.sidebar.slider(
+            "Select Max Tokens", 256, 2048, st.session_state['max_tokens'], 2048)
+    else:
+        st.session_state['max_tokens'] = 500
+    
+    chat_with_doc(st.session_state['model'], vector_store, stats_db=supabase)
+elif user_choice == 'Forget':
+    st.sidebar.title("Configuration")
+
+    brain(supabase)
+elif user_choice == 'Explore':
+    st.sidebar.title("Configuration")
+    view_document(supabase)
+
+st.markdown("---\n\n")