Delete app (3).py

app (3).py

@@ -1,132 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7351f47b-cce0-4e93-ad0c-8c0e43b1941f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import re\n",
-    "import gradio as gr\n",
-    "import vanna as vn\n",
-    "from groq import Groq\n",
-    "from vanna.remote import VannaDefault\n",
-    "\n",
-    "# Set up Vanna.ai and Groq client as before\n",
-    "MY_VANNA_MODEL = \"llama3-8b\"\n",
-    "\n",
-    "vn = VannaDefault(model=MY_VANNA_MODEL, api_key='30efac58cfee46d1967e28b8d6bdf5db')\n",
-    "\n",
-    "vn.connect_to_mssql(odbc_conn_str=r'DRIVER={ODBC Driver 17 for SQL Server};SERVER=YISC1100715LT\\SQLEXPRESS;DATABASE=master;Trusted_Connection=yes;') # Connect to your database\n",
-    "\n",
-    "# Set up Groq client\n",
-    "groq_client = Groq(api_key=\"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\")\n",
-    "\n",
-    "def get_order_status(order_number):\n",
-    "    sql = f\"SELECT know_history.status FROM know_history WHERE know_history.erpordernumber = {order_number};\"\n",
-    "    result = vn.run_sql(sql)\n",
-    "    # if result and len(result) > 0:\n",
-    "        # return result['STATUS']\n",
-    "    return result['status']\n",
-    "\n",
-    "def generate_response(user_input):\n",
-    "    # Check for order number in the input\n",
-    "    order_match = re.search(r'#?(\\d{5})', user_input)\n",
-    "    \n",
-    "    if order_match:\n",
-    "        order_number = order_match.group(1)\n",
-    "        status = get_order_status(order_number)\n",
-    "        \n",
-    "        # if status:\n",
-    "            # Use Groq to generate a conversational response\n",
-    "        prompt = f\"\"\"Given an order status '{status}' for order number {order_number}, \n",
-    "            generate a friendly, conversational response to the customer's query: \"{user_input}\".\n",
-    "            The response should be informative and reassuring.\"\"\"\n",
-    "\n",
-    "        chat_completion = groq_client.chat.completions.create(\n",
-    "                messages=[\n",
-    "                    {\n",
-    "                        \"role\": \"system\",\n",
-    "                        \"content\": \"You are a helpful customer service chatbot for an e-commerce company.\"\n",
-    "                    },\n",
-    "                    {\n",
-    "                        \"role\": \"user\",\n",
-    "                        \"content\": prompt,\n",
-    "                    }\n",
-    "                ],\n",
-    "                model=\"llama3-8b-8192\",\n",
-    "                max_tokens=150,\n",
-    "                temperature=0.7,\n",
-    "            )\n",
-    "            \n",
-    "        return chat_completion.choices[0].message.content.strip()\n",
-    "    #     else:\n",
-    "    #         return f\"I'm sorry, but I couldn't find any information for order #{order_number}. Could you please check if the order number is correct?\"\n",
-    "    else:\n",
-    "        # Handle general queries\n",
-    "        prompt = f\"\"\"As a customer service chatbot for an e-commerce company, \n",
-    "        provide a helpful response to the following customer query: \"{user_input}\".\"\"\"\n",
-    "\n",
-    "        chat_completion = groq_client.chat.completions.create(\n",
-    "            messages=[\n",
-    "                {\n",
-    "                    \"role\": \"system\",\n",
-    "                    \"content\": \"You are a helpful customer service chatbot for an e-commerce company.\"\n",
-    "                },\n",
-    "                {\n",
-    "                    \"role\": \"user\",\n",
-    "                    \"content\": prompt,\n",
-    "                }\n",
-    "            ],\n",
-    "            model=\"llama3-8b-8192\",\n",
-    "            max_tokens=150,\n",
-    "            temperature=0.7,\n",
-    "        )\n",
-    "        \n",
-    "        return chat_completion.choices[0].message.content.strip()\n",
-    "\n",
-    "def chat_interface(message, history):\n",
-    "    response = generate_response(message)\n",
-    "    return response\n",
-    "\n",
-    "iface = gr.ChatInterface(\n",
-    "    chat_interface,\n",
-    "    title=\"E-Commerce Customer Service Chatbot\",\n",
-    "    description=\"Ask about your order status or any other questions!\",\n",
-    "    examples=[\n",
-    "        \"Where is my order #12345?\",\n",
-    "        \"What is the status of my order #67890?\",\n",
-    "        \"How can I track my order?\",\n",
-    "        \"Can I change my shipping address?\",\n",
-    "        \"What's your return policy?\"\n",
-    "    ]\n",
-    ")\n",
-    "\n",
-    "if __name__ == \"__main__\":\n",
-    "    iface.launch()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}