Delete virtimo-inubit

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virtimo-inubit/README.md

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----
-title: Virtimo Inubit
-emoji: 🚀
-colorFrom: yellow
-colorTo: red
-sdk: streamlit
-sdk_version: 1.29.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

virtimo-inubit/app.py

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-import streamlit as st
-from llama_index import (
-    VectorStoreIndex,
-    SummaryIndex,
-    ServiceContext,
-    StorageContext,
-    Document,
-    load_index_from_storage, ChatPromptTemplate,
-)
-from llama_index.embeddings.openai import OpenAIEmbedding
-from llama_index import SimpleDirectoryReader
-from llama_index.llms import OpenAI, ChatMessage, MessageRole
-import gradio as gr
-from typing import List, cast, Optional
-
-# Function to load the dataframe and chat with it
-def chat_with_dataframe(question):
-    storage_context = StorageContext.from_defaults(
-        persist_dir=str("storage")
-    )
-
-    vector_index = cast(VectorStoreIndex, load_index_from_storage(storage_context))
-    vector_query_engine = vector_index.as_query_engine(
-        similarity_top_k=2
-    )
-    response = vector_query_engine.query(question)
-    return response.response
-
-
-# Streamlit interface
-def main():
-    st.sidebar.title('Virtimo - INUBIT')
-    st.sidebar.subheader('Ask me anything about the product!')
-    # File uploader in the sidebar
-
-    # st.title('Chat with Excel')
-    # Store LLM generated responses
-    if "messages" not in st.session_state.keys():
-        st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}]
-
-    # Display or clear chat messages
-    for message in st.session_state.messages:
-        with st.chat_message(message["role"]):
-            st.write(message["content"])
-
-    # # Initialize conversation in session state if it doesn't exist
-    # if 'conversation' not in st.session_state:
-    #     st.session_state['conversation'] = []
-    #
-    # # Initialize user input in session state if it doesn't exist
-    # if 'user_input' not in st.session_state:
-    #     st.session_state['user_input'] = ''
-
-    # Chat interface similar to the provided image
-    # if st.session_state.uploaded_file:
-
-    # User-provided prompt
-    if prompt := st.chat_input():
-        st.session_state.messages.append({"role": "user", "content": prompt})
-        with st.chat_message("user"):
-            st.write(prompt)
-
-        # Generate a new response if last message is not from assistant
-    if st.session_state.messages[-1]["role"] != "assistant":
-        with st.chat_message("assistant"):
-            with st.spinner("Thinking..."):
-                response = chat_with_dataframe(prompt)
-                placeholder = st.empty()
-                # full_response = ''
-                if response is not None:
-                    st.write(response)
-                    message = {"role": "assistant", "content": response}
-                    st.session_state.messages.append(message)
-                    # # Check if the response is iterable
-                    # if isinstance(response, (list, tuple)):
-                    #     full_response = ''.join(response)
-                    # elif isinstance(response, str):
-                    #     full_response = response
-                    # else:
-                    #     full_response = str(response)  # Convert non-string,
-                    # # placeholder.markdown(full_response)
-
-
-# Run the main function
-if __name__ == '__main__':
-    main()

virtimo-inubit/requirements.txt

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-streamlit==1.28.2
-llama-index=0.9.9
-

virtimo-inubit/storage/graph_store.json

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-{"graph_dict": {}}

virtimo-inubit/storage/vector_store.json

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