update

app.py

@@ -163,7 +163,7 @@ def rag_pipeline(prompt, index="pubmed", num_docs=3, model_name="HuggingFaceH4/z
 iface = gr.Interface(fn=rag_pipeline,
                      inputs=[
                          gr.Textbox(label="Input Prompt", value="Are group 2 innate lymphoid cells (ILC2s) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?"),
-                         gr.Dropdown(label="Index", choices=["pubmed", "wikipedia", "textbooks"], value="pubmed"),
+                         gr.Dropdown(label="Index", choices=["pubmed", "wikipedia", "textbooks", "statpearls"], value="pubmed"),
                          gr.Number(label="Number of Documents", value=3, step=1, minimum=0, maximum=10),
                          gr.Dropdown(label="Model", choices=["HuggingFaceH4/zephyr-7b-beta", "meta-llama/Llama-2-7b-chat-hf", "meta-llama/Llama-2-13b-chat-hf", "meta-llama/Llama-2-70b-chat-hf", "openai/gpt-3.5-turbo"], value="HuggingFaceH4/zephyr-7b-beta")
                      ],