add header

Dockerfile

@@ -10,6 +10,9 @@ COPY pyproject.toml poetry.lock /app/
 # Install poetry
 RUN pip install poetry
 
+# Set environment variable to create virtualenv within the project directory
+ENV POETRY_VIRTUALENVS_IN_PROJECT=true
+
 # Install project dependencies
 RUN poetry lock
 RUN poetry install
@@ -17,4 +20,4 @@ RUN poetry install
 # Copy the rest of the application code
 COPY . .
 
-CMD ["poetry", "run", "chainlit", "run", "app.py", "--port", "7860"]
+CMD ["poetry", "run", "chainlit", "run", "app.py", "--port", "7860"]

README.md

@@ -50,7 +50,7 @@ The data is from the [Seven Wonders dataset][1] on Hugging Face. https://hugging
 
 The chatbots retrieval mechanism is developed using Retrieval Augmented Generation (RAG) with [Haystack](https://haystack.deepset.ai/tutorials/22_pipeline_with_promptnode) and its user interface is built with [Chainlit](https://docs.chainlit.io/overview). It is using OpenAI GPT-3.5-turbo. 
 
-### Pipeline steps (Haystack) - check the full script here: [src/app.py](src/app.py)
+### Pipeline steps (Haystack) - check the full script here: [app.py](app.py)
 
 1. Initialize in-memory Document store