Merge pull request #5 from nikhilkomakula/rag-gradio-streamlit

Dockerfile

@@ -31,6 +31,5 @@ WORKDIR $HOME/app
 # Clone the Git repo 
 RUN git clone --depth 1 -b deploy-to-hf-spaces https://github.com/nikhilkomakula/llm-rag-op-chatbot.git $HOME/app
 
-
 # Use ENTRYPOINT to specify the command to run when the container starts
 ENTRYPOINT ["python", "gradio_app.py"]

README.md

@@ -188,6 +188,13 @@ sys.modules['sqlite3'] = sys.modules.pop('pysqlite3')
 
 **Note:** If running locally for Streamlit UI interace and if you hit any errors with `pysqlite3`, try removing whatever that is mentioned above.
 
+## Hugging Face Docker Space Deployment:
+
+* On Hugging Face Docker Space, while installing dependencies, it fails due to dependency conflict. To resolve that, exclude `deepeval` from dependencies and comment out the below listed statements in `eval_rag.py`:
+  * `from src.test.eval_custom_model import LLM, eval_rag_metrics`
+  * `eval_custom_model = LLM(model_name=EVAL_LLM_NAME, model=hf_eval_llm)`
+  * `metrics = eval_rag_metrics(eval_custom_model, question, answer, context)` (set to blank)
+
 ## Enhancements:
 
 * Different advanced retrieval methods could be used.

requirements.txt

@@ -9,4 +9,4 @@ tensorflow==2.16.1
 gradio==4.21.0
 pandas==2.2.1
 streamlit==1.32.2
-# deepeval==0.21.21
+deepeval==0.21.25