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conversation.py

@@ -52,7 +52,7 @@ prompt = OpenAIFunctionsAgent.create_prompt(
     extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],
 )
 
-agent_executor = create_conversational_retrieval_agent(llm, tools, verbose=True, prompt=prompt)
+agent_executor = create_conversational_retrieval_agent(llm, tools, verbose=False, prompt=prompt)
 user_name = None
 
 def run(input_):

temp.ipynb

@@ -0,0 +1,28 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gradio as gr\n",
+    "from conversation import make_conversation, auth_function\n",
+    "import random\n",
+    "\n",
+    "with gr.Blocks(css=\"style.css\") as demo:\n",
+    "    gr.Markdown(\"##DR. VAI\")\n",
+    "    gr.ChatInterface(make_conversation).queue()\n",
+    "\n",
+    "demo.launch()"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}