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Merge pull request #15 from jonfairbanks/develop
Logging, Caching & User Experience Improvements
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,3 +1,5 @@ | ||
| *.pyc | ||
| data/* | ||
| *.log | ||
| .cache/* | ||
| .nv/* |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,162 +1,20 @@ | ||
| import os | ||
|
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||
| import streamlit as st | ||
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| import utils.helpers as func | ||
| import utils.ollama as ollama | ||
| import utils.llama_index as llama_index | ||
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||
| from components.tabs.local_files import local_files | ||
| from components.tabs.github_repo import github_repo | ||
| from components.tabs.website import website | ||
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| def file_upload(): | ||
| st.title("Directly import your files") | ||
| st.caption("Convert your files to embeddings for utilization during chat") | ||
| st.write("") | ||
|
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| # Force users to confirm Settings before uploading files | ||
| if st.session_state["selected_model"] is not None: | ||
| file_upload_container = st.container(border=True) | ||
| with file_upload_container: | ||
| uploaded_files = st.file_uploader( | ||
| "Select Files", | ||
| accept_multiple_files=True, | ||
| type=( | ||
| "csv", | ||
| "docx", | ||
| "epub", | ||
| "ipynb", | ||
| "json", | ||
| "md", | ||
| "pdf", | ||
| "ppt", | ||
| "pptx", | ||
| ), | ||
| ) | ||
| else: | ||
| st.warning("Please configure Ollama settings before proceeding!", icon="⚠️") | ||
| file_upload_container = st.container(border=True) | ||
| with file_upload_container: | ||
| uploaded_files = st.file_uploader( | ||
| "Select Files", | ||
| accept_multiple_files=True, | ||
| type=( | ||
| "csv", | ||
| "docx", | ||
| "epub", | ||
| "ipynb", | ||
| "json", | ||
| "md", | ||
| "pdf", | ||
| "ppt", | ||
| "pptx", | ||
| ), | ||
| disabled=True, | ||
| ) | ||
|
|
||
| if len(uploaded_files) > 0: | ||
| st.session_state["file_list"] = uploaded_files | ||
|
|
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| with st.status("Preparing your data...", expanded=True) as status: | ||
| error = None | ||
|
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| ###################### | ||
| # Save Files to Disk # | ||
| ###################### | ||
|
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| st.caption("Uploading Files Locally") | ||
| for uploaded_file in uploaded_files: | ||
| with st.spinner(f"Processing {uploaded_file.name}..."): | ||
| save_dir = os.getcwd() + "/data" | ||
| func.save_uploaded_file(uploaded_file, save_dir) | ||
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| st.caption("Loading Embedding Model") | ||
|
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| ###################################### | ||
| # Create Llama-Index service-context # | ||
| # to use local LLMs and embeddings # | ||
| ###################################### | ||
|
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| try: | ||
| llm = ollama.create_ollama_llm( | ||
| st.session_state["selected_model"], | ||
| st.session_state["ollama_endpoint"], | ||
| ) | ||
|
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| # resp = llm.complete("Hello!") | ||
| # print(resp) | ||
|
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| # Determine embedding model to use | ||
|
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| embedding_model = st.session_state["embedding_model"] | ||
| hf_embedding_model = None | ||
| with st.expander("💻 **Local Files**", expanded=False): | ||
| local_files() | ||
|
|
||
| if embedding_model == None: | ||
| print("No embedding model set; using defaults...") | ||
| hf_embedding_model = "BAAI/bge-large-en-v1.5" | ||
|
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| if embedding_model == "Default (bge-large-en-v1.5)": | ||
| print("Using default embedding model...") | ||
| hf_embedding_model = "BAAI/bge-large-en-v1.5" | ||
|
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| if embedding_model == "Large (Salesforce/SFR-Embedding-Mistral)": | ||
| print("Using the Salesforce embedding model; RIP yer VRAM...") | ||
| hf_embedding_model = "Salesforce/SFR-Embedding-Mistral" | ||
|
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| if embedding_model == "Other": | ||
| print("Using a user-provided embedding model...") | ||
| hf_embedding_model = st.session_state["other_embedding_model"] | ||
|
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| service_context = llama_index.create_service_context( | ||
| llm, | ||
| st.session_state["system_prompt"], | ||
| hf_embedding_model, | ||
| st.session_state["chunk_size"], | ||
| ) | ||
| except Exception as err: | ||
| print(f"Setting up Service Context failed: {err}") | ||
| error = err | ||
|
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| ####################################### | ||
| # Load files from the data/ directory # | ||
| ####################################### | ||
|
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| st.caption("Processing File Data") | ||
| try: | ||
| documents = llama_index.load_documents(save_dir) | ||
| st.session_state["documents"] = documents | ||
| except Exception as err: | ||
| print(f"Document Load Error: {err}") | ||
| error = err | ||
|
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| ########################################### | ||
| # Create an index from ingested documents # | ||
| ########################################### | ||
|
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| st.caption("Creating File Index") | ||
| try: | ||
| llama_index.create_query_engine(documents, service_context) | ||
| except Exception as err: | ||
| print(f"Index Creation Error: {err}") | ||
| error = err | ||
|
|
||
| ##################### | ||
| # Show Final Status # | ||
| ##################### | ||
|
|
||
| if error is not None: | ||
| status.update( | ||
| label="File processing failed.", | ||
| state="error", | ||
| expanded=True, | ||
| ) | ||
| st.error(error) | ||
| else: | ||
| status.update( | ||
| label="Your files are ready. Let's chat!", | ||
| state="complete", | ||
| expanded=False, | ||
| ) | ||
|
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| with st.expander("GitHub Repo", expanded=False): | ||
| with st.expander("🗂️ **GitHub Repo**", expanded=False): | ||
| github_repo() | ||
|
|
||
| with st.expander("🌐 **Website**", expanded=False): | ||
| website() |
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