diff --git "a/merged-ui/CombinedGUI/.ipynb_checkpoints/UI-checkpoint.ipynb" "b/merged-ui/CombinedGUI/.ipynb_checkpoints/UI-checkpoint.ipynb"
new file mode 100644--- /dev/null
+++ "b/merged-ui/CombinedGUI/.ipynb_checkpoints/UI-checkpoint.ipynb"
@@ -0,0 +1,3447 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "KNRGKEn0EUl5",
+    "outputId": "4d2eb404-b2b4-4004-9fff-b9c12c4c5444"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
+     ]
+    }
+   ],
+   "source": [
+    "from google.colab import drive\n",
+    "drive.mount('/content/drive')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "tENqMaj5EZhe",
+    "outputId": "cb4923d3-167f-453f-d67a-ce2c0829a584"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+      "Requirement already satisfied: gradio in /usr/local/lib/python3.8/dist-packages (3.12.0)\n",
+      "Requirement already satisfied: ffmpy in /usr/local/lib/python3.8/dist-packages (from gradio) (0.3.0)\n",
+      "Requirement already satisfied: websockets>=10.0 in /usr/local/lib/python3.8/dist-packages (from gradio) (10.4)\n",
+      "Requirement already satisfied: paramiko in /usr/local/lib/python3.8/dist-packages (from gradio) (2.12.0)\n",
+      "Requirement already satisfied: fastapi in /usr/local/lib/python3.8/dist-packages (from gradio) (0.88.0)\n",
+      "Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from gradio) (2.23.0)\n",
+      "Requirement already satisfied: pillow in /usr/local/lib/python3.8/dist-packages (from gradio) (7.1.2)\n",
+      "Requirement already satisfied: matplotlib in /usr/local/lib/python3.8/dist-packages (from gradio) (3.2.2)\n",
+      "Requirement already satisfied: h11<0.13,>=0.11 in /usr/local/lib/python3.8/dist-packages (from gradio) (0.12.0)\n",
+      "Requirement already satisfied: fsspec in /usr/local/lib/python3.8/dist-packages (from gradio) (2022.11.0)\n",
+      "Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from gradio) (1.21.6)\n",
+      "Requirement already satisfied: aiohttp in /usr/local/lib/python3.8/dist-packages (from gradio) (3.8.3)\n",
+      "Requirement already satisfied: pyyaml in /usr/local/lib/python3.8/dist-packages (from gradio) (6.0)\n",
+      "Requirement already satisfied: uvicorn in /usr/local/lib/python3.8/dist-packages (from gradio) (0.20.0)\n",
+      "Requirement already satisfied: pydantic in /usr/local/lib/python3.8/dist-packages (from gradio) (1.10.2)\n",
+      "Requirement already satisfied: pandas in /usr/local/lib/python3.8/dist-packages (from gradio) (1.3.5)\n",
+      "Requirement already satisfied: pycryptodome in /usr/local/lib/python3.8/dist-packages (from gradio) (3.16.0)\n",
+      "Requirement already satisfied: markdown-it-py[linkify,plugins] in /usr/local/lib/python3.8/dist-packages (from gradio) (2.1.0)\n",
+      "Requirement already satisfied: orjson in /usr/local/lib/python3.8/dist-packages (from gradio) (3.8.3)\n",
+      "Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from gradio) (2.11.3)\n",
+      "Requirement already satisfied: pydub in /usr/local/lib/python3.8/dist-packages (from gradio) (0.25.1)\n",
+      "Requirement already satisfied: python-multipart in /usr/local/lib/python3.8/dist-packages (from gradio) (0.0.5)\n",
+      "Requirement already satisfied: httpx in /usr/local/lib/python3.8/dist-packages (from gradio) (0.23.1)\n",
+      "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio) (6.0.2)\n",
+      "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio) (22.1.0)\n",
+      "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio) (1.3.1)\n",
+      "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio) (4.0.2)\n",
+      "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio) (2.1.1)\n",
+      "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio) (1.8.1)\n",
+      "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio) (1.3.3)\n",
+      "Requirement already satisfied: idna>=2.0 in /usr/local/lib/python3.8/dist-packages (from yarl<2.0,>=1.0->aiohttp->gradio) (2.10)\n",
+      "Requirement already satisfied: starlette==0.22.0 in /usr/local/lib/python3.8/dist-packages (from fastapi->gradio) (0.22.0)\n",
+      "Requirement already satisfied: anyio<5,>=3.4.0 in /usr/local/lib/python3.8/dist-packages (from starlette==0.22.0->fastapi->gradio) (3.6.2)\n",
+      "Requirement already satisfied: typing-extensions>=3.10.0 in /usr/local/lib/python3.8/dist-packages (from starlette==0.22.0->fastapi->gradio) (4.1.1)\n",
+      "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.8/dist-packages (from anyio<5,>=3.4.0->starlette==0.22.0->fastapi->gradio) (1.3.0)\n",
+      "Requirement already satisfied: rfc3986[idna2008]<2,>=1.3 in /usr/local/lib/python3.8/dist-packages (from httpx->gradio) (1.5.0)\n",
+      "Requirement already satisfied: httpcore<0.17.0,>=0.15.0 in /usr/local/lib/python3.8/dist-packages (from httpx->gradio) (0.15.0)\n",
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+      "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2->gradio) (2.0.1)\n",
+      "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.8/dist-packages (from markdown-it-py[linkify,plugins]->gradio) (0.1.2)\n",
+      "Requirement already satisfied: linkify-it-py~=1.0 in /usr/local/lib/python3.8/dist-packages (from markdown-it-py[linkify,plugins]->gradio) (1.0.3)\n",
+      "Requirement already satisfied: mdit-py-plugins in /usr/local/lib/python3.8/dist-packages (from markdown-it-py[linkify,plugins]->gradio) (0.3.3)\n",
+      "Requirement already satisfied: uc-micro-py in /usr/local/lib/python3.8/dist-packages (from linkify-it-py~=1.0->markdown-it-py[linkify,plugins]->gradio) (1.0.1)\n",
+      "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio) (0.11.0)\n",
+      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio) (3.0.9)\n",
+      "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio) (2.8.2)\n",
+      "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio) (1.4.4)\n",
+      "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.1->matplotlib->gradio) (1.15.0)\n",
+      "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas->gradio) (2022.6)\n",
+      "Requirement already satisfied: cryptography>=2.5 in /usr/local/lib/python3.8/dist-packages (from paramiko->gradio) (38.0.4)\n",
+      "Requirement already satisfied: pynacl>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from paramiko->gradio) (1.5.0)\n",
+      "Requirement already satisfied: bcrypt>=3.1.3 in /usr/local/lib/python3.8/dist-packages (from paramiko->gradio) (4.0.1)\n",
+      "Requirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.8/dist-packages (from cryptography>=2.5->paramiko->gradio) (1.15.1)\n",
+      "Requirement already satisfied: pycparser in /usr/local/lib/python3.8/dist-packages (from cffi>=1.12->cryptography>=2.5->paramiko->gradio) (2.21)\n",
+      "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->gradio) (3.0.4)\n",
+      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->gradio) (1.24.3)\n",
+      "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.8/dist-packages (from uvicorn->gradio) (7.1.2)\n",
+      "Reading package lists... Done\n",
+      "Building dependency tree       \n",
+      "Reading state information... Done\n",
+      "timidity is already the newest version (2.13.2-41).\n",
+      "The following package was automatically installed and is no longer required:\n",
+      "  libnvidia-common-460\n",
+      "Use 'apt autoremove' to remove it.\n",
+      "0 upgraded, 0 newly installed, 0 to remove and 7 not upgraded.\n",
+      "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+      "Collecting transformers\n",
+      "  Downloading transformers-4.25.1-py3-none-any.whl (5.8 MB)\n",
+      "\u001b[K     |████████████████████████████████| 5.8 MB 28.4 MB/s \n",
+      "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from transformers) (3.8.0)\n",
+      "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.8/dist-packages (from transformers) (4.64.1)\n",
+      "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1\n",
+      "  Downloading tokenizers-0.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB)\n",
+      "\u001b[K     |████████████████████████████████| 7.6 MB 46.0 MB/s \n",
+      "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from transformers) (2.23.0)\n",
+      "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.8/dist-packages (from transformers) (21.3)\n",
+      "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (1.21.6)\n",
+      "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from transformers) (6.0)\n",
+      "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (2022.6.2)\n",
+      "Collecting huggingface-hub<1.0,>=0.10.0\n",
+      "  Downloading huggingface_hub-0.11.1-py3-none-any.whl (182 kB)\n",
+      "\u001b[K     |████████████████████████████████| 182 kB 62.3 MB/s \n",
+      "\u001b[?25hRequirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub<1.0,>=0.10.0->transformers) (4.1.1)\n",
+      "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging>=20.0->transformers) (3.0.9)\n",
+      "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2.10)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2022.9.24)\n",
+      "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (3.0.4)\n",
+      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (1.24.3)\n",
+      "Installing collected packages: tokenizers, huggingface-hub, transformers\n",
+      "Successfully installed huggingface-hub-0.11.1 tokenizers-0.13.2 transformers-4.25.1\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install gradio\n",
+    "!apt-get install timidity\n",
+    "!pip install transformers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "id": "wN-kzFUKEgbe"
+   },
+   "outputs": [],
+   "source": [
+    "import gradio as gr\n",
+    "from pathlib import Path\n",
+    "import subprocess\n",
+    "from transformers import AutoTokenizer\n",
+    "from transformers import TFAutoModelForCausalLM\n",
+    "from transformers import TFAutoModelForSequenceClassification, AutoTokenizer\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 238,
+     "referenced_widgets": [
+      "df1428c1ca23400090c2e46fec51dccd",
+      "3bb6ee72322241628fff3a5e7dce882c",
+      "284df1c2432947a6ad3020e4049c8a70",
+      "1a0cea00ae7b4d28b75f9768001a4c9d",
+      "0dec75e361a54acd9a6142e7be7a1042",
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+      "4ab9cebe5eea41a9a6627e59a7e7413d",
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+      "a667d8d5cffe40b181c98518367d1a8b",
+      "ed5dcb61bb8e41aa88fce0da5097648b",
+      "8139a38348274af590a5bb24c2da11f2",
+      "b4c97fa063fa41f7ab511e6cda92d487",
+      "2c20b24106cb44999e4761deaacc701b",
+      "a7cef64c31894df899e8d23afeeb5abc",
+      "a2d270ca750c4741b0f2b9e567eff08a",
+      "8333001b3c754b0aadcbd7cc18c8be5c",
+      "776db9765d144e118c2c7ce18a4f99cc",
+      "77353e91b0544e139ed4cc685992eb25",
+      "b3e4d8226a734806bc5f27015a07157b",
+      "809751dc26734faead04abcc354c72a1",
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+      "9dbe2c195c054d509b34c4a8fa082349",
+      "63d4a723ffe7449696f2480a97849e95",
+      "1aba382e81914213b1fafdbd4863bf9a",
+      "ab01d8fde11b478fbb70312254201647",
+      "ae46b6d525544482b4c60210e89a7aa6",
+      "1942e4cda6ee43c8a36e6ea351f0e758",
+      "ed4a6a8a3d0e4b9d9c18083f13895594",
+      "230b3194ae4d4c2f83b6719975031b11",
+      "0944a45c260c40d38f38a1e7ac234142",
+      "9b5f8784c47343efb6a73e63cbbf80db",
+      "5ac86cc5b8c2493db6407e89d6630cb7",
+      "8341fee4f0c1405f9ca60454e6ffed66",
+      "73513b59dd8c4f41b2f6a2471b9e1701"
+     ]
+    },
+    "id": "MZ5-7-jHShqU",
+    "outputId": "60059f64-c9c1-4799-fce9-9c3888eab520"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "All model checkpoint layers were used when initializing TFGPT2LMHeadModel.\n",
+      "\n",
+      "All the layers of TFGPT2LMHeadModel were initialized from the model checkpoint at drive/MyDrive/FIRE_3rd Sem/peom_gn/.\n",
+      "If your task is similar to the task the model of the checkpoint was trained on, you can already use TFGPT2LMHeadModel for predictions without further training.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "df1428c1ca23400090c2e46fec51dccd",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading:   0%|          | 0.00/762 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5176b0b18a6a429fb22604a2d5cbb066",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading:   0%|          | 0.00/1.04M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "2c20b24106cb44999e4761deaacc701b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading:   0%|          | 0.00/456k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1aba382e81914213b1fafdbd4863bf9a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading:   0%|          | 0.00/1.36M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#load poem generation model\n",
+    "model = TFAutoModelForCausalLM.from_pretrained('drive/MyDrive/FIRE_3rd Sem/peom_gn/')\n",
+    "base_model = \"distilgpt2\"\n",
+    "tokenizer = AutoTokenizer.from_pretrained(base_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 257,
+     "referenced_widgets": [
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+     ]
+    },
+    "id": "LlW4Xnh3TcaL",
+    "outputId": "2dabcc70-97e5-4af6-b73d-8f9ce8d24b0c"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Some layers from the model checkpoint at drive/MyDrive/FIRE_3rd Sem/sen_analysis/bert were not used when initializing TFDistilBertForSequenceClassification: ['dropout_19']\n",
+      "- This IS expected if you are initializing TFDistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
+      "- This IS NOT expected if you are initializing TFDistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
+      "Some layers of TFDistilBertForSequenceClassification were not initialized from the model checkpoint at drive/MyDrive/FIRE_3rd Sem/sen_analysis/bert and are newly initialized: ['dropout_38']\n",
+      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "90a1bf5048ac4b918a69a0083b7a081b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading:   0%|          | 0.00/28.0 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
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+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading:   0%|          | 0.00/483 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b0f97d26eb614c028a5a47ef45e254dd",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading:   0%|          | 0.00/232k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3c40ba228bbf468f86090044bc9a9c7d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading:   0%|          | 0.00/466k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#load sentiment analysis\n",
+    "model_v1 = TFAutoModelForSequenceClassification.from_pretrained('drive/MyDrive/FIRE_3rd Sem/sen_analysis/bert')\n",
+    "base_model = \"distilbert-base-uncased\"\n",
+    "tokenizer_v1 = AutoTokenizer.from_pretrained(base_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "AvLP8kQkUbBB",
+    "outputId": "636aec1b-21c6-48a9-f360-136708694e7a"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#music generation\n",
+    "base_path = \"/content/drive/MyDrive/FIRE_3rd Sem/music_gn/\"\n",
+    "#path_mid_file -> Replace this with model generated file path\n",
+    "path_mid_file = base_path + \"Comic_Relief.mid\"\n",
+    "path_wav_file = base_path + \"output_comic.wav\"\n",
+    "subprocess.call(['timidity', path_mid_file, \"-Ow\", \"-o\", path_wav_file])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "x3SogoL_Xv_C"
+   },
+   "source": [
+    "## Music Generation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "id": "IiiTtEdTJtzD"
+   },
+   "outputs": [],
+   "source": [
+    "def inference_music_gen():\n",
+    "  return Path(path_wav_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "id": "x9uLu5IOX3Ab"
+   },
+   "outputs": [],
+   "source": [
+    "music_gen_interface = gr.Interface(\n",
+    "    inference_music_gen, \n",
+    "    inputs = None, \n",
+    "    outputs = gr.outputs.Audio(type=\"filepath\", label=\"Output\")\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "XJoDisI3XYJM"
+   },
+   "source": [
+    "## Sentiment Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "id": "0asjbECxRUDw"
+   },
+   "outputs": [],
+   "source": [
+    "def inference_sentiment_analysis(sen):\n",
+    "  tokenized_v1 = tokenizer_v1([sen], return_tensors=\"np\", padding=\"longest\")\n",
+    "  outputs_v1 = model_v1(tokenized_v1).logits\n",
+    "  classifications_v1 = np.argmax(outputs_v1, axis=1)\n",
+    "  if classifications_v1[0] == 1:\n",
+    "      res = \"Positive :)\"\n",
+    "  else:\n",
+    "      res = \"Negative :(\"\n",
+    "  return res"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "id": "tsGob-9sUK1s"
+   },
+   "outputs": [],
+   "source": [
+    "sentiment_analysis_interface = gr.Interface(\n",
+    "    fn=inference_sentiment_analysis,\n",
+    "    inputs=gr.Textbox(lines=2, placeholder=\"Enter a Sentence\"),\n",
+    "    outputs=\"text\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "BVvYvw5KXcxM"
+   },
+   "source": [
+    "## Peom Generation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "id": "YQAd6I9eRj1t"
+   },
+   "outputs": [],
+   "source": [
+    "def inference_poem_gen(start):\n",
+    "  tokenized = tokenizer(start, return_tensors=\"np\")\n",
+    "  outputs = model.generate(**tokenized, max_new_tokens=20)\n",
+    "  res = tokenizer.decode(outputs[0])\n",
+    "  return res.replace(\"<LINE>\", \"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "id": "aYoJ1FsfSXS2"
+   },
+   "outputs": [],
+   "source": [
+    "poem_gen_interface = gr.Interface(\n",
+    "    fn=inference_poem_gen,\n",
+    "    inputs=gr.Textbox(lines=2, placeholder=\"Start Here...\"),\n",
+    "    outputs=\"text\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "feEFQ8zoXqvw"
+   },
+   "source": [
+    "## Combine All"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 944
+    },
+    "id": "ZSGf7iKuj3Qc",
+    "outputId": "d11d9eb1-b3d3-4462-b4ce-935c8ecb6b0d"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/usr/local/lib/python3.8/dist-packages/gradio/blocks.py:717: UserWarning: api_name predict already exists, using predict_1\n",
+      "  warnings.warn(\n",
+      "/usr/local/lib/python3.8/dist-packages/gradio/blocks.py:717: UserWarning: api_name predict already exists, using predict_2\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
+      "Running on public URL: https://632e922be0d60ff3.gradio.app\n",
+      "\n",
+      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"https://632e922be0d60ff3.gradio.app\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Exception in thread Thread-22:\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/usr/lib/python3.8/threading.py\", line 932, in _bootstrap_inner\n",
+      "    self.run()\n",
+      "  File \"/usr/lib/python3.8/threading.py\", line 870, in run\n",
+      "    self._target(*self._args, **self._kwargs)\n",
+      "  File \"/usr/local/lib/python3.8/dist-packages/gradio/tunneling.py\", line 39, in handler\n",
+      "    chan.send(data)\n",
+      "  File \"/usr/local/lib/python3.8/dist-packages/paramiko/channel.py\", line 801, in send\n",
+      "    return self._send(s, m)\n",
+      "  File \"/usr/local/lib/python3.8/dist-packages/paramiko/channel.py\", line 1198, in _send\n",
+      "    raise socket.error(\"Socket is closed\")\n",
+      "OSError: Socket is closed\n",
+      "Setting `pad_token_id` to 50256 (first `eos_token_id`) to generate sequence\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Keyboard interruption in main thread... closing server.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "title = \"Music Generation\"\n",
+    "description = \"Add Project description\"\n",
+    "article = \"<p style='text-align: center'><a href='https://github.com/' target='_blank'>Github Repo</a></p>\"\n",
+    "#we can add other project related stuff as well\n",
+    "\n",
+    "demo = gr.TabbedInterface([music_gen_interface, poem_gen_interface, sentiment_analysis_interface], \n",
+    "                          [\"Music Generation\", \"Poem Generation\", \"Sentiment Analysis\"])\n",
+    "demo.launch(debug=True, share=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "eYAysXfiJt8s"
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
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+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
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+  "language_info": {
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+   "file_extension": ".py",
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