diff --git a/.gitignore b/.gitignore index b85dfa4..eec714d 100644 --- a/.gitignore +++ b/.gitignore @@ -10,3 +10,6 @@ build/ metrics_report.json .faiss_index/ .vector_store/ + +.gradio/ +flagged/ diff --git a/README.md b/README.md index 39d645a..4965420 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Bosch HVAC Product Knowledge Bot -A CLI-based **Retrieval-Augmented Generation (RAG)** system that answers sales and specification questions about Bosch HVAC products. +A **Retrieval-Augmented Generation (RAG)** system that answers sales and specification questions about Bosch HVAC products. Available as both a **web UI (Gradio)** and a **CLI**. ## What It Does @@ -26,7 +26,16 @@ cp .env.example .env uv sync ``` -### 2. Query the Knowledge Bot +### 2. Launch the Web UI + +```bash +source .venv/bin/activate +python app.py +``` + +Opens at `http://127.0.0.1:7860` — type a question, get an answer with sources and latency. Includes example prompts. + +### 3. Or Use the CLI ```bash # Activate the uv environment @@ -66,7 +75,7 @@ LATENCY: 1234.5ms ============================================================ ``` -### 3. Evaluate Metrics +### 4. Evaluate Metrics ```bash # Run full evaluation (latency + accuracy) @@ -85,7 +94,9 @@ src/products_catalog.json ← Product specs (6 Bosch HVAC systems) ↓ src/rag.py ← RAG pipeline (embeddings + retrieval) ↓ - src/cli.py ← CLI interface (Click) + ┌────┴────┐ + app.py src/cli.py ← Gradio web UI / CLI interface + (Web) (CLI) ↓ User questions ``` diff --git a/app.py b/app.py new file mode 100644 index 0000000..6e3080a --- /dev/null +++ b/app.py @@ -0,0 +1,60 @@ +"""Gradio web UI for the Bosch HVAC Product Knowledge Bot. + +Run with: python app.py +""" +import os +from dotenv import load_dotenv +import gradio as gr + +from src.rag import BoschProductRAG + +load_dotenv() + +CATALOG_PATH = os.path.join(os.path.dirname(__file__), "src", "products_catalog.json") + +# Build the RAG index once at startup (not per-request). +_rag = BoschProductRAG() +_rag.build_index(_rag.load_products(CATALOG_PATH)) + + +def answer_question(question: str) -> str: + if not question or not question.strip(): + return "Please enter a question." + + result = _rag.query(question) + + sources_md = "\n".join( + f"- [{s['name']}]({s['url']})" if s["url"] else f"- {s['name']}" + for s in result["sources"] + ) + + return ( + f"### Answer\n{result['answer']}\n\n" + f"### Sources\n{sources_md or '_none retrieved_'}\n\n" + f"---\n*Latency: {result['latency_ms']:.0f}ms*" + ) + + +demo = gr.Interface( + fn=answer_question, + inputs=gr.Textbox( + label="Ask about Bosch HVAC products", + placeholder="e.g. Which heat pump is best for retrofits?", + lines=2, + ), + outputs=gr.Markdown(label="Response"), + title="Bosch HVAC Product Knowledge Bot", + description=( + "RAG-powered assistant for Bosch HVAC sales & spec questions. " + "Retrieval: FAISS + Google Gemini embeddings. Generation: Gemini Flash Lite." + ), + examples=[ + "Which heat pump is best for retrofits?", + "What's the most energy-efficient system you offer?", + "Do you have a smart thermostat?", + "What cooling systems use R32 refrigerant?", + ], +) + +if __name__ == "__main__": + demo.launch() diff --git a/pyproject.toml b/pyproject.toml index 91df15c..91a9a4f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,6 +7,7 @@ requires-python = ">=3.11" dependencies = [ "beautifulsoup4>=4.15.0", "faiss-cpu>=1.15.0", + "gradio>=6.27.0", "langchain>=1.4.0", "langchain-community>=0.4.2", "langchain-google-genai>=4.4.0", diff --git a/uv.lock b/uv.lock index b2a96f7..72bbc9e 100644 --- a/uv.lock +++ b/uv.lock @@ -2,10 +2,18 @@ version = 1 revision = 3 requires-python = ">=3.11" resolution-markers = [ - "python_full_version >= '3.14'", - "python_full_version == '3.13.*'", - "python_full_version == '3.12.*'", - "python_full_version < '3.12'", + "python_full_version >= '3.14' and sys_platform == 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