Delete app/chatbot_gradio_runner.ipynb

app/chatbot_gradio_runner.ipynb

@@ -1,349 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Generative AI for Audio Application"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Restart Kernel (If needed)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'status': 'ok', 'restart': True}"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import IPython\n",
-    "\n",
-    "app = IPython.Application.instance()\n",
-    "app.kernel.do_shutdown(True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
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-      "Installing collected packages: urllib3, typing-extensions, sniffio, mdurl, idna, h11, exceptiongroup, charset-normalizer, certifi, zipp, tqdm, six, requests, pyyaml, pygments, pydantic-core, packaging, numpy, markdown-it-py, httpcore, fsspec, filelock, anyio, annotated-types, websockets, tzdata, starlette, shellingham, rich, pytz, python-dateutil, pyparsing, pydantic, pillow, markupsafe, kiwisolver, importlib-resources, huggingface-hub, httpx, fonttools, cycler, contourpy, click, uvicorn, typer, tomlkit, semantic-version, ruff, python-multipart, pydub, pandas, orjson, matplotlib, jinja2, gradio-client, ffmpy, fastapi, aiofiles, gradio\n",
-      "Successfully installed aiofiles-23.2.1 annotated-types-0.7.0 anyio-4.8.0 certifi-2024.12.14 charset-normalizer-3.4.1 click-8.1.8 contourpy-1.3.0 cycler-0.12.1 exceptiongroup-1.2.2 fastapi-0.115.7 ffmpy-0.5.0 filelock-3.17.0 fonttools-4.55.6 fsspec-2024.12.0 gradio-4.44.1 gradio-client-1.3.0 h11-0.14.0 httpcore-1.0.7 httpx-0.28.1 huggingface-hub-0.27.1 idna-3.10 importlib-resources-6.5.2 jinja2-3.1.5 kiwisolver-1.4.7 markdown-it-py-3.0.0 markupsafe-2.1.5 matplotlib-3.9.4 mdurl-0.1.2 numpy-2.0.2 orjson-3.10.15 packaging-24.2 pandas-2.2.3 pillow-10.4.0 pydantic-2.10.6 pydantic-core-2.27.2 pydub-0.25.1 pygments-2.19.1 pyparsing-3.2.1 python-dateutil-2.9.0.post0 python-multipart-0.0.20 pytz-2024.2 pyyaml-6.0.2 requests-2.32.3 rich-13.9.4 ruff-0.9.3 semantic-version-2.10.0 shellingham-1.5.4 six-1.17.0 sniffio-1.3.1 starlette-0.45.3 tomlkit-0.12.0 tqdm-4.67.1 typer-0.15.1 typing-extensions-4.12.2 tzdata-2025.1 urllib3-2.3.0 uvicorn-0.34.0 websockets-12.0 zipp-3.21.0\n",
-      "\u001b[33mWARNING: You are using pip version 21.2.3; however, version 24.3.1 is available.\n",
-      "You should consider upgrading via the '/Users/voldemort/Downloads/Solution 2/venv/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "!pip install gradio"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Import Libraries\n",
-    "Most of the complexity for the chatbot is in [customizable_chatbot.py](./customizable_chatbot.py) that uses [audio.py](./audio.py) internally for the audio capabilities."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'gradio'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[4], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mos\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mgradio\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mgr\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgenai_voice\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbots\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mchatbot\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ChatBot\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgenai_voice\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconfig\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdefaults\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Config\n",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'gradio'"
-     ]
-    }
-   ],
-   "source": [
-    "import os\n",
-    "import gradio as gr\n",
-    "from genai_voice.bots.chatbot import ChatBot\n",
-    "from genai_voice.config.defaults import Config\n",
-    "from genai_voice.logger.log_utils import log, LogLevels"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "log(f'Configuration: {Config()}', log_level=LogLevels.ON)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Set Current Working Directory  \n",
-    "\n",
-    "We want to simulate running this notebook from the project root just as it would work when using `Poetry` scripts."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "curr_wrk_dir = os.getcwd()\n",
-    "log(f'Before directory change: {curr_wrk_dir}')\n",
-    "if curr_wrk_dir.endswith('app'):\n",
-    "    log(f'Changing directory to root')\n",
-    "    os.chdir('..')\n",
-    "    curr_wrk_dir = os.getcwd()\n",
-    "log(f'Before directory change: {curr_wrk_dir}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Create Data for LLM Context  \n",
-    "\n",
-    "`Poetry` scripts allow us to install our code as a package and run functions executables. \n",
-    "\n",
-    "We will use the `ExtractWebPagesAndSaveData` script, that is defined in `pyproject.toml` to scrape, extract and generate the file that the LLM will use as context data.\n",
-    "\n",
-    "`SAMPLE_URLS` have been defined under provided under `genai_voice.data_utils.urls.py`. Feel free to modify the links in that file to customize the source of data. \n",
-    "\n",
-    "> **DISCLAIMER:** Be responsible when scraping data that is not yours, complying with the EULA of the sites and conducting it in a legal fashion. Also remember that most sites will throttle scrapes, so do this with caution.  \n",
-    "\n",
-    "> **NOTE:** This is an optional step. It just shows you have you can get custom data for your LLM context. We have provided the data for this project. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!poetry run ExtractWebPagesAndSaveData"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Gradio Interface\n",
-    "This launches the UI, you will probably need to allow the browser to use the microphone to enable the audio functions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'ChatBot' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[5], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;124;03m\"\"\"Run Chatbot app\"\"\"\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m chatbot \u001b[38;5;241m=\u001b[39m \u001b[43mChatBot\u001b[49m(enable_speakers\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, threaded\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m      3\u001b[0m history \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_response\u001b[39m(audio):\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'ChatBot' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"Run Chatbot app\"\"\"\n",
-    "chatbot = ChatBot(enable_speakers=True, threaded=True)\n",
-    "history = []\n",
-    "\n",
-    "def get_response(audio):\n",
-    "    \"\"\"Get Audio Response From Chatbot\"\"\"\n",
-    "    if not audio:\n",
-    "        raise ValueError(\"No audio file provided.\")\n",
-    "    prompt = chatbot.get_prompt_from_gradio_audio(audio)\n",
-    "    log(f\"Transcribed prompt: {prompt}\", log_level=LogLevels.ON)\n",
-    "    response = chatbot.respond(prompt, history)\n",
-    "    log(f\"Chatbot response: {response}\", log_level=LogLevels.ON)\n",
-    "    history.append([prompt, response])\n",
-    "    return response\n",
-    "\n",
-    "demo = gr.Interface(\n",
-    "        get_response,\n",
-    "        gr.Audio(sources=\"microphone\"),\n",
-    "        None,\n",
-    "        title=\"Wanderwise Travel Assistant\"\n",
-    ")\n",
-    "demo.launch()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "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": "3.9.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}