Update space

README.md

@@ -10,4 +10,8 @@ pinned: false
 license: cc
 ---
 
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+An example RAG chatbot using [Gradio](https://gradio.app),[Groq](https://groq.com) and [llamaIndex](https://https://www.llamaindex.ai/)
+
+Usage: Click the Select File To Load button (or drag and drop files into it), then click the Load Documents button
+When the load has completed, ask questions about your files. Can cope with Microsoft Word and Excel formats as well 
+as PDF and Text files

app.py

@@ -24,7 +24,7 @@ Settings.llm = llm  # Ensure Groq is the LLM being used
 # Initialize our chosen embedding model
 embed_model = HuggingFaceEmbedding(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
-# These are our RAG fucntions, called in response to user
+# These are our RAG functions, called in response to user
 # initiated events e.g clicking the Load Documents button
 # on the GUI
 #
@@ -80,7 +80,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("# RAG Multi-file Chat Application")
 
     with gr.Row():
-        file_input = gr.File(label="Select PDF files to load", file_count="multiple")
+        file_input = gr.File(label="Select files to load", file_count="multiple")
         load_btn = gr.Button("Load Documents")
 
     load_output = gr.Textbox(label="Load Status")