Update app.py

app.py

@@ -238,25 +238,18 @@ def demo():
         vector_db = gr.State()
         qa_chain = gr.State()
         collection_name = gr.State()
-        
-        gr.Markdown(
-        """<center><h2>PDF-based chatbot (powered by LangChain and open-source LLMs)</center></h2>
-        <h3>Ask any questions about your PDF documents, along with follow-ups</h3>
-        <b>Note:</b> This AI assistant performs retrieval-augmented generation from your PDF documents. \
-        When generating answers, it takes past questions into account (via conversational memory), and includes document references for clarity purposes.</i>
-        <br><b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps and LLM models used below (free inference endpoints) can take some time to generate an output.<br>
-        """)
-
+        slider_chunk_size = 2048
+        slider_chunk_overlap = 256
         with gr.Row():
             document = gr.Files(height=100, file_count="multiple", file_types=["pdf"], interactive=True, label="Upload your PDF documents (single or multiple)")
             # upload_btn = gr.UploadButton("Loading document...", height=100, file_count="multiple", file_types=["pdf"], scale=1)
         with gr.Row():
-            db_btn = gr.Radio(["ChromaDB"], label="Vector database type", value = "ChromaDB", type="index", info="Choose your vector database")
-        with gr.Accordion("Advanced options - Document text splitter", open=False):
+            db_btn = gr.Radio(["ChromaDB"], label="Vector database type", value = "ChromaDB", type="index", info="Choose your vector database",visible=False)
+        with gr.Accordion("Advanced options - Document text splitter", open=False, visible=False):
             with gr.Row():
-                slider_chunk_size = gr.Slider(minimum = 100, maximum = 1000, value=600, step=20, label="Chunk size", info="Chunk size", interactive=True)
+                slider_chunk_size = gr.Slider(value=2048, label="Chunk size", info="Chunk size", interactive=False, visible=False)
             with gr.Row():
-                slider_chunk_overlap = gr.Slider(minimum = 10, maximum = 200, value=40, step=10, label="Chunk overlap", info="Chunk overlap", interactive=True)
+                slider_chunk_overlap = gr.Slider(value=256, label="Chunk overlap", info="Chunk overlap", interactive=False, visible=False)
         with gr.Row():
             db_progress = gr.Textbox(label="Vector database initialization", value="None")
         with gr.Row():