Added new folders and files in muhammad_qasim_sheikh directory
This commit is contained in:
aashahid
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1665a5cf",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import re\n",
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"import time\n",
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"import json\n",
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"import sqlite3\n",
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"from dotenv import load_dotenv\n",
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"import gradio as gr\n",
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"from openai import OpenAI"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5cb6632c",
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"metadata": {},
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"outputs": [],
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"source": [
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"load_dotenv()\n",
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"client = OpenAI(api_key=os.getenv(\"OPENAI_API_KEY\"))\n",
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"DB_PATH = \"nova_support.db\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2cd3ac8c",
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"metadata": {},
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"outputs": [],
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"source": [
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"def init_db():\n",
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" conn = sqlite3.connect(DB_PATH)\n",
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" cur = conn.cursor()\n",
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" cur.execute(\"\"\"\n",
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" CREATE TABLE IF NOT EXISTS tickets (\n",
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" ticket_id TEXT PRIMARY KEY,\n",
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" name TEXT,\n",
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" company TEXT,\n",
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" email TEXT,\n",
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" issue TEXT,\n",
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" priority TEXT,\n",
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" status TEXT,\n",
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" created_at TEXT\n",
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" )\n",
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" \"\"\")\n",
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" conn.commit()\n",
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" conn.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "70e0556c",
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"metadata": {},
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"outputs": [],
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"source": [
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"def new_ticket_id():\n",
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" conn = sqlite3.connect(DB_PATH)\n",
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" cur = conn.cursor()\n",
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" cur.execute(\"SELECT COUNT(*) FROM tickets\")\n",
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" count = cur.fetchone()[0]\n",
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" conn.close()\n",
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" return f\"RT-{1001 + count}\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "38525d5c",
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"metadata": {},
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"outputs": [],
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"source": [
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"def create_ticket(name, company, email, issue, priority=\"P3\"):\n",
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" tid = new_ticket_id()\n",
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" ts = time.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
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" conn = sqlite3.connect(DB_PATH)\n",
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" cur = conn.cursor()\n",
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" cur.execute(\"\"\"\n",
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" INSERT INTO tickets (ticket_id, name, company, email, issue, priority, status, created_at)\n",
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" VALUES (?, ?, ?, ?, ?, ?, ?, ?)\n",
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" \"\"\", (tid, name, company, email, issue, priority.upper(), \"OPEN\", ts))\n",
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" conn.commit()\n",
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" conn.close()\n",
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" return tid, ts"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "58e803c5",
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_ticket(ticket_id):\n",
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" conn = sqlite3.connect(DB_PATH)\n",
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" cur = conn.cursor()\n",
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" cur.execute(\"SELECT * FROM tickets WHERE ticket_id=?\", (ticket_id,))\n",
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" row = cur.fetchone()\n",
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" conn.close()\n",
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" if not row:\n",
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" return None\n",
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" keys = [\"ticket_id\", \"name\", \"company\", \"email\", \"issue\", \"priority\", \"status\", \"created_at\"]\n",
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" return dict(zip(keys, row))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b97601ff",
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"metadata": {},
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"outputs": [],
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"source": [
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"def synthesize_speech(text):\n",
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" if not text.strip():\n",
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" return None\n",
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" output_path = Path(tempfile.gettempdir()) / \"nova_reply.mp3\"\n",
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" with client.audio.speech.with_streaming_response.create(\n",
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" model=\"gpt-4o-mini-tts\",\n",
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" voice=\"alloy\",\n",
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" input=text\n",
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" ) as response:\n",
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" response.stream_to_file(output_path)\n",
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" return str(output_path)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e4e20aad",
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"metadata": {},
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"outputs": [],
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"source": [
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"SYSTEM_PROMPT = \"\"\"\n",
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"You are Nova, the AI Support and Sales Assistant for Reallytics.ai.\n",
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"You help customers with:\n",
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"- Reporting issues (create tickets)\n",
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"- Checking existing tickets\n",
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"- Providing product/service information\n",
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"- Explaining pricing ranges\n",
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"- Reassuring integration compatibility with client systems\n",
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"Respond in a professional, business tone.\n",
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"\"\"\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0d1c094d",
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"metadata": {},
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"outputs": [],
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"source": [
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"def detect_intent(message):\n",
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" text = message.lower()\n",
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" if any(k in text for k in [\"create ticket\", \"open ticket\", \"new ticket\", \"issue\", \"problem\"]):\n",
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" return \"create_ticket\"\n",
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" if re.search(r\"rt-\\d+\", text):\n",
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" return \"check_ticket\"\n",
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" if \"price\" in text or \"cost\" in text:\n",
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" return \"pricing\"\n",
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" if \"integration\" in text:\n",
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" return \"integration\"\n",
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" return \"general\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ed9114d5",
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"metadata": {},
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"outputs": [],
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"source": [
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"def chat(message, history, model, name, company, email):\n",
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" history_msgs = [{\"role\": h[\"role\"], \"content\": h[\"content\"]} for h in history]\n",
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" intent = detect_intent(message)\n",
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"\n",
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" if intent == \"create_ticket\":\n",
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" priority = \"P2\" if \"urgent\" in message.lower() or \"high\" in message.lower() else \"P3\"\n",
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" tid, ts = create_ticket(name, company, email, message, priority)\n",
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" text = f\"A new support ticket has been created.\\nTicket ID: {tid}\\nCreated at: {ts}\\nStatus: OPEN\"\n",
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" yield text, synthesize_speech(text)\n",
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" return\n",
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"\n",
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" if intent == \"check_ticket\":\n",
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" match = re.search(r\"(rt-\\d+)\", message.lower())\n",
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" if match:\n",
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" ticket_id = match.group(1).upper()\n",
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" data = get_ticket(ticket_id)\n",
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" if data:\n",
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" text = (\n",
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" f\"Ticket {ticket_id} Details:\\n\"\n",
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" f\"Issue: {data['issue']}\\n\"\n",
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" f\"Status: {data['status']}\\n\"\n",
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" f\"Priority: {data['priority']}\\n\"\n",
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" f\"Created at: {data['created_at']}\"\n",
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" )\n",
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" else:\n",
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" text = f\"No ticket found with ID {ticket_id}.\"\n",
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" else:\n",
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" text = \"Please provide a valid ticket ID.\"\n",
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" yield text, synthesize_speech(text)\n",
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" return"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "280c7d2f",
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"metadata": {},
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"outputs": [],
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"source": [
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"def chat(message, history, model, name, company, email):\n",
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" if not message.strip():\n",
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" yield \"Please type a message to start.\", None\n",
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" return\n",
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"\n",
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" history_msgs = [{\"role\": h[\"role\"], \"content\": h[\"content\"]} for h in history]\n",
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" intent = detect_intent(message)\n",
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" reply, audio_path = \"\", None\n",
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"\n",
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" if intent == \"create_ticket\":\n",
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" priority = \"P2\" if \"urgent\" in message.lower() or \"high\" in message.lower() else \"P3\"\n",
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" tid, ts = create_ticket(name, company, email, message, priority)\n",
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" reply = f\"A new support ticket has been created.\\nTicket ID: {tid}\\nCreated at: {ts}\\nStatus: OPEN\"\n",
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" audio_path = synthesize_speech(reply)\n",
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" yield reply, audio_path\n",
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" return\n",
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"\n",
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" if intent == \"check_ticket\":\n",
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" match = re.search(r\"(rt-\\d+)\", message.lower())\n",
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" if match:\n",
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" ticket_id = match.group(1).upper()\n",
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" data = get_ticket(ticket_id)\n",
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" if data:\n",
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" reply = (\n",
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" f\"Ticket {ticket_id} Details:\\n\"\n",
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" f\"Issue: {data['issue']}\\n\"\n",
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" f\"Status: {data['status']}\\n\"\n",
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" f\"Priority: {data['priority']}\\n\"\n",
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" f\"Created at: {data['created_at']}\"\n",
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" )\n",
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" else:\n",
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" reply = f\"No ticket found with ID {ticket_id}.\"\n",
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" else:\n",
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" reply = \"Please provide a valid ticket ID.\"\n",
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" audio_path = synthesize_speech(reply)\n",
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" yield reply, audio_path\n",
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" return\n",
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"\n",
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" messages = [{\"role\": \"system\", \"content\": SYSTEM_PROMPT}] + history_msgs + [{\"role\": \"user\", \"content\": message}]\n",
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" stream = client.chat.completions.create(model=model, messages=messages, stream=True)\n",
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"\n",
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" full_reply = \"\"\n",
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" for chunk in stream:\n",
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" delta = chunk.choices[0].delta.content or \"\"\n",
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" full_reply += delta\n",
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" yield full_reply, None \n",
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" audio_path = synthesize_speech(full_reply)\n",
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" yield full_reply, audio_path "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0cb1977d",
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"metadata": {},
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"outputs": [],
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"source": [
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"init_db()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8a0557ba",
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"metadata": {},
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"outputs": [],
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"source": [
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"with gr.Blocks(title=\"Nova | Business AI Assistant\", theme=gr.themes.Soft()) as demo:\n",
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" gr.Markdown(\"## Nova | Reallytics.ai Customer Support & Sales Assistant\")\n",
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" gr.Markdown(\n",
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" \"Nova helps clients create or track support tickets, understand services, and explore automation options. \"\n",
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" \"Type your questions and Nova will respond in both text and voice.\"\n",
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" )\n",
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"\n",
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" with gr.Row():\n",
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" name = gr.Textbox(label=\"Your Name\", placeholder=\"Liam\")\n",
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" company = gr.Textbox(label=\"Company (optional)\", placeholder=\"ABC Corp\")\n",
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" email = gr.Textbox(label=\"Email\", placeholder=\"you@example.com\")\n",
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"\n",
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" model = gr.Dropdown([\"gpt-4o-mini\", \"gpt-4\", \"gpt-3.5-turbo\"], value=\"gpt-4o-mini\", label=\"Model\")\n",
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"\n",
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" audio_output = gr.Audio(label=\"Nova's Voice Reply\", autoplay=True, interactive=False)\n",
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"\n",
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" gr.ChatInterface(\n",
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" fn=chat,\n",
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" type=\"messages\",\n",
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" additional_inputs=[model, name, company, email],\n",
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" additional_outputs=[audio_output],\n",
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" title=\"Chat with Nova\",\n",
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" description=\"Ask about tickets, automation services, pricing, or integration and Nova will also speak her reply.\"\n",
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" )\n",
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"\n",
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"if __name__ == \"__main__\":\n",
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" demo.launch()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "llm-engineering",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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