Update app.py

app.py

@@ -54,7 +54,84 @@ TITLE = "<h1 style='text-align:center;'>My Gradio Chat App</h1>"
 # Create the Gradio Blocks interface
 with gr.Blocks(css=CSS) as demo:
     gr.HTML(TITLE)
-
+    ## OG v9 comments 
+    #  gr.ChatInterface(
+    #     fn=stream_chat_with_rag,
+    #     chatbot=chatbot,
+    #     fill_height=True,
+    #     #gr.dropdown(['rosariarossi','bianchifiordaliso','lorenzoverdi'],label="Select Client"),
+    #     additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False, render=False),
+    #     additional_inputs=[
+    #         gr.Dropdown(['rosariarossi','bianchifiordaliso','lorenzoverdi'],value="rosariarossi",label="Select Client", render=False,),
+    #         gr.Textbox(
+    #             # value="""Using the information contained in the context,
+    #             #      give a comprehensive answer to the question.
+    #             #     Respond only to the question asked, response should be concise and relevant to the question.
+    #             #     Provide the number of the source document when relevant.
+    #             #     If the answer cannot be deduced from the context, do not give an answer""",
+    #             value ="""You are an expert assistant""",
+    #             label="System Prompt",
+    #             render=False,
+    #         ),
+    #         gr.Slider(
+    #             minimum=1,
+    #             maximum=10,
+    #             step=1,
+    #             value=10,
+    #             label="Number of Initial Documents to Retrieve",
+    #             render=False,
+    #         ),
+    #         gr.Slider(
+    #             minimum=1,
+    #             maximum=10,
+    #             step=1,
+    #             value=9,
+    #             label="Number of Final Documents to Retrieve",
+    #             render=False,
+    #         ),
+    #         gr.Slider(
+    #             minimum=0.2,
+    #             maximum=1,
+    #             step=0.1,
+    #             value=0,
+    #             label="Temperature",
+    #             render=False,
+    #         ),
+    #         gr.Slider(
+    #             minimum=128,
+    #             maximum=8192,
+    #             step=1,
+    #             value=1024,
+    #             label="Max new tokens",
+    #             render=False,
+    #         ),
+    #         gr.Slider(
+    #             minimum=0.0,
+    #             maximum=1.0,
+    #             step=0.1,
+    #             value=1.0,
+    #             label="top_p",
+    #             render=False,
+    #         ),
+    #         gr.Slider(
+    #             minimum=1,
+    #             maximum=20,
+    #             step=1,
+    #             value=20,
+    #             label="top_k",
+    #             render=False,
+    #         ),
+    #         gr.Slider(
+    #             minimum=0.0,
+    #             maximum=2.0,
+    #             step=0.1,
+    #             value=1.2,
+    #             label="Repetition penalty",
+    #             render=False,
+    #         ),
+    #     ],
+        
+    # )
     with gr.Tab("Chat"):
         chatbot = gr.Chatbot()  # Create a chatbot interface
 
@@ -63,6 +140,7 @@ with gr.Blocks(css=CSS) as demo:
             chatbot=chatbot,
             additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False, render=False),
             additional_inputs=[
+                gr.Dropdown(['rosariarossi','bianchifiordaliso','lorenzoverdi'],value="rosariarossi",label="Select Client", render=False,),
                 gr.Textbox(
                     value="You are an expert assistant",
                     label="System Prompt",