Updating file structure

RAG_APP_README.md

@@ -1,54 +0,0 @@
-# Abalone RAG Chatbot
-
-This project implements a Retrieval-Augmented Generation (RAG) chatbot about Abalone using LangChain + OpenAI with a Streamlit frontend. It's designed to be deployed on Hugging Face Spaces.
-
-Contents
-- `app.py` - Streamlit app entrypoint
-- `src/ingest.py` - Ingest files from `data/` into a persisted Chroma vectorstore
-- `src/vectorstore.py` - Helpers to build/load the Chroma vectorstore and return a retriever
-- `src/qa_chain.py` - Build the conversational retrieval QA chain
-- `data/` - Put Abalone source files here (CSV/MD/TXT/PDF)
-- `vectorstore/` - Persisted vectorstore directory (created by ingestion)
-
-Quickstart (local)
-
-1. Create a venv and install dependencies:
-
-```bash
-python -m venv .venv
-source .venv/bin/activate
-pip install -r requirements.txt
-```
-
-2. Set your OpenAI API key:
-
-```bash
-export OPENAI_API_KEY="sk-..."
-```
-
-3. Add Abalone files into `data/` (for example `abalone.csv`).
-
-4. Build the vectorstore:
-
-```bash
-python -m src.ingest --data-dir ./data --persist-dir ./vectorstore
-```
-
-5. Run the Streamlit app:
-
-```bash
-streamlit run app.py
-```
-
-Deploying to Hugging Face Spaces
-
-- Add `OPENAI_API_KEY` in the Spaces secrets (Settings -> Secrets).
-- Push this repository to your HF Space. HF will install `requirements.txt` and run the Streamlit app.
-- On first run, click the "Ingest data" button or allow the app to rebuild the index.
-
-Security
-- Do NOT commit your OpenAI API key. Use HF Spaces Secrets for deployment.
-
-License
-- MIT
-

README.md

@@ -1,13 +1,9 @@
 ---
 title: Abalone Chat Application
-emoji: 👀
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 6.0.1
+emoji: 🐚
+colorFrom: purple
+colorTo: pink
+sdk: streamlit
 app_file: app.py
 pinned: false
-short_description: Abalone Chatbot
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

tests/test_imports.py

@@ -1,28 +0,0 @@
-import os
-import sys
-from pathlib import Path
-
-project_root = Path(__file__).resolve().parents[1]
-if str(project_root) not in sys.path:
-    sys.path.insert(0, str(project_root))
-
-
-def test_module_imports_and_symbols():
-    import importlib
-
-    modules = [
-        "src.ingest",
-        "src.vectorstore",
-        "src.qa_chain",
-    ]
-    for mod_name in modules:
-        mod = importlib.import_module(mod_name)
-        assert mod is not None
-
-    from src import ingest as ingest_mod
-    from src.vectorstore import get_retriever
-    from src.qa_chain import make_conversational_chain
-
-    assert callable(ingest_mod.ingest)
-    assert callable(get_retriever)
-    assert callable(make_conversational_chain)