Upload 3 files

.env

@@ -0,0 +1 @@
+GEMINI_API_KEY=AIzaSyA2WApH-qFk1hetH3wmpT1pR6J0OOm3U3c

gemini_test.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\dines\\OneDrive\\Desktop\\Ai for Marketing\\venv\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "models/chat-bison-001\n",
+      "models/text-bison-001\n",
+      "models/embedding-gecko-001\n",
+      "models/gemini-1.0-pro-vision-latest\n",
+      "models/gemini-pro-vision\n",
+      "models/gemini-1.5-pro-latest\n",
+      "models/gemini-1.5-pro-001\n",
+      "models/gemini-1.5-pro-002\n",
+      "models/gemini-1.5-pro\n",
+      "models/gemini-1.5-flash-latest\n",
+      "models/gemini-1.5-flash-001\n",
+      "models/gemini-1.5-flash-001-tuning\n",
+      "models/gemini-1.5-flash\n",
+      "models/gemini-1.5-flash-002\n",
+      "models/gemini-1.5-flash-8b\n",
+      "models/gemini-1.5-flash-8b-001\n",
+      "models/gemini-1.5-flash-8b-latest\n",
+      "models/gemini-1.5-flash-8b-exp-0827\n",
+      "models/gemini-1.5-flash-8b-exp-0924\n",
+      "models/gemini-2.0-flash-exp\n",
+      "models/gemini-2.0-flash\n",
+      "models/gemini-2.0-flash-001\n",
+      "models/gemini-2.0-flash-lite-001\n",
+      "models/gemini-2.0-flash-lite\n",
+      "models/gemini-2.0-flash-lite-preview-02-05\n",
+      "models/gemini-2.0-flash-lite-preview\n",
+      "models/gemini-2.0-pro-exp\n",
+      "models/gemini-2.0-pro-exp-02-05\n",
+      "models/gemini-exp-1206\n",
+      "models/gemini-2.0-flash-thinking-exp-01-21\n",
+      "models/gemini-2.0-flash-thinking-exp\n",
+      "models/gemini-2.0-flash-thinking-exp-1219\n",
+      "models/learnlm-1.5-pro-experimental\n",
+      "models/gemma-3-27b-it\n",
+      "models/embedding-001\n",
+      "models/text-embedding-004\n",
+      "models/gemini-embedding-exp-03-07\n",
+      "models/gemini-embedding-exp\n",
+      "models/aqa\n",
+      "models/imagen-3.0-generate-002\n"
+     ]
+    }
+   ],
+   "source": [
+    "from langchain_google_genai import ChatGoogleGenerativeAI\n",
+    "import google.generativeai as genai\n",
+    "import os\n",
+    "\n",
+    "os.environ[\"GEMINI_API_KEY\"] = \"AIzaSyA2WApH-qFk1hetH3wmpT1pR6J0OOm3U3c\"\n",
+    "\n",
+    "# List all available models\n",
+    "models = genai.list_models()\n",
+    "\n",
+    "for model in models:\n",
+    "    print(model.name)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "DefaultCredentialsError",
+     "evalue": "Your default credentials were not found. To set up Application Default Credentials, see https://cloud.google.com/docs/authentication/external/set-up-adc for more information.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mDefaultCredentialsError\u001b[39m                   Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 8\u001b[39m\n\u001b[32m      5\u001b[39m os.environ[\u001b[33m\"\u001b[39m\u001b[33mGEMINI_API_KEY\u001b[39m\u001b[33m\"\u001b[39m] = \u001b[33m\"\u001b[39m\u001b[33mAIzaSyA2WApH-qFk1hetH3wmpT1pR6J0OOm3U3c\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m      7\u001b[39m \u001b[38;5;66;03m# Use the correct model name from the list\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m8\u001b[39m llm = \u001b[43mChatGoogleGenerativeAI\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mgemini-1.5-pro-latest\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m     10\u001b[39m \u001b[38;5;66;03m# Test the model with a prompt\u001b[39;00m\n\u001b[32m     11\u001b[39m response = llm.invoke(\u001b[33m\"\u001b[39m\u001b[33mGenerate a marketing slogan for AI-powered advertising.\u001b[39m\u001b[33m\"\u001b[39m)\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dines\\OneDrive\\Desktop\\Ai for Marketing\\venv\\Lib\\site-packages\\langchain_core\\load\\serializable.py:125\u001b[39m, in \u001b[36mSerializable.__init__\u001b[39m\u001b[34m(self, *args, **kwargs)\u001b[39m\n\u001b[32m    123\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, *args: Any, **kwargs: Any) -> \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m    124\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m125\u001b[39m     \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m.\u001b[49m\u001b[34;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "    \u001b[31m[... skipping hidden 1 frame]\u001b[39m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dines\\OneDrive\\Desktop\\Ai for Marketing\\venv\\Lib\\site-packages\\langchain_google_genai\\chat_models.py:853\u001b[39m, in \u001b[36mChatGoogleGenerativeAI.validate_environment\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m    851\u001b[39m         google_api_key = \u001b[38;5;28mself\u001b[39m.google_api_key\n\u001b[32m    852\u001b[39m transport: Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28mself\u001b[39m.transport\n\u001b[32m--> \u001b[39m\u001b[32m853\u001b[39m \u001b[38;5;28mself\u001b[39m.client = \u001b[43mgenaix\u001b[49m\u001b[43m.\u001b[49m\u001b[43mbuild_generative_service\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    854\u001b[39m \u001b[43m    \u001b[49m\u001b[43mcredentials\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mcredentials\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    855\u001b[39m \u001b[43m    \u001b[49m\u001b[43mapi_key\u001b[49m\u001b[43m=\u001b[49m\u001b[43mgoogle_api_key\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    856\u001b[39m \u001b[43m    \u001b[49m\u001b[43mclient_info\u001b[49m\u001b[43m=\u001b[49m\u001b[43mclient_info\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    857\u001b[39m \u001b[43m    \u001b[49m\u001b[43mclient_options\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mclient_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    858\u001b[39m \u001b[43m    \u001b[49m\u001b[43mtransport\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtransport\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    859\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    860\u001b[39m \u001b[38;5;28mself\u001b[39m.async_client_running = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    861\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dines\\OneDrive\\Desktop\\Ai for Marketing\\venv\\Lib\\site-packages\\langchain_google_genai\\_genai_extension.py:276\u001b[39m, in \u001b[36mbuild_generative_service\u001b[39m\u001b[34m(credentials, api_key, client_options, client_info, transport)\u001b[39m\n\u001b[32m    262\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mbuild_generative_service\u001b[39m(\n\u001b[32m    263\u001b[39m     credentials: Optional[credentials.Credentials] = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m    264\u001b[39m     api_key: Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m   (...)\u001b[39m\u001b[32m    267\u001b[39m     transport: Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m    268\u001b[39m ) -> v1betaGenerativeServiceClient:\n\u001b[32m    269\u001b[39m     config = _prepare_config(\n\u001b[32m    270\u001b[39m         credentials=credentials,\n\u001b[32m    271\u001b[39m         api_key=api_key,\n\u001b[32m   (...)\u001b[39m\u001b[32m    274\u001b[39m         client_info=client_info,\n\u001b[32m    275\u001b[39m     )\n\u001b[32m--> \u001b[39m\u001b[32m276\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mv1betaGenerativeServiceClient\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dines\\OneDrive\\Desktop\\Ai for Marketing\\venv\\Lib\\site-packages\\google\\ai\\generativelanguage_v1beta\\services\\generative_service\\client.py:667\u001b[39m, in \u001b[36mGenerativeServiceClient.__init__\u001b[39m\u001b[34m(self, credentials, transport, client_options, client_info)\u001b[39m\n\u001b[32m    658\u001b[39m     transport_init: Union[\n\u001b[32m    659\u001b[39m         Type[GenerativeServiceTransport],\n\u001b[32m    660\u001b[39m         Callable[..., GenerativeServiceTransport],\n\u001b[32m   (...)\u001b[39m\u001b[32m    664\u001b[39m         \u001b[38;5;28;01melse\u001b[39;00m cast(Callable[..., GenerativeServiceTransport], transport)\n\u001b[32m    665\u001b[39m     )\n\u001b[32m    666\u001b[39m     \u001b[38;5;66;03m# initialize with the provided callable or the passed in class\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m667\u001b[39m     \u001b[38;5;28mself\u001b[39m._transport = \u001b[43mtransport_init\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    668\u001b[39m \u001b[43m        \u001b[49m\u001b[43mcredentials\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcredentials\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    669\u001b[39m \u001b[43m        \u001b[49m\u001b[43mcredentials_file\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_client_options\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcredentials_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    670\u001b[39m \u001b[43m        \u001b[49m\u001b[43mhost\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_api_endpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    671\u001b[39m \u001b[43m        \u001b[49m\u001b[43mscopes\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_client_options\u001b[49m\u001b[43m.\u001b[49m\u001b[43mscopes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    672\u001b[39m \u001b[43m        \u001b[49m\u001b[43mclient_cert_source_for_mtls\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_client_cert_source\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    673\u001b[39m \u001b[43m        \u001b[49m\u001b[43mquota_project_id\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_client_options\u001b[49m\u001b[43m.\u001b[49m\u001b[43mquota_project_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    674\u001b[39m \u001b[43m        \u001b[49m\u001b[43mclient_info\u001b[49m\u001b[43m=\u001b[49m\u001b[43mclient_info\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    675\u001b[39m \u001b[43m        \u001b[49m\u001b[43malways_use_jwt_access\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    676\u001b[39m \u001b[43m        \u001b[49m\u001b[43mapi_audience\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_client_options\u001b[49m\u001b[43m.\u001b[49m\u001b[43mapi_audience\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    677\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    679\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[33m\"\u001b[39m\u001b[33masync\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mself\u001b[39m._transport):\n\u001b[32m    680\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m CLIENT_LOGGING_SUPPORTED \u001b[38;5;129;01mand\u001b[39;00m _LOGGER.isEnabledFor(\n\u001b[32m    681\u001b[39m         std_logging.DEBUG\n\u001b[32m    682\u001b[39m     ):  \u001b[38;5;66;03m# pragma: NO COVER\u001b[39;00m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dines\\OneDrive\\Desktop\\Ai for Marketing\\venv\\Lib\\site-packages\\google\\ai\\generativelanguage_v1beta\\services\\generative_service\\transports\\grpc.py:235\u001b[39m, in \u001b[36mGenerativeServiceGrpcTransport.__init__\u001b[39m\u001b[34m(self, host, credentials, credentials_file, scopes, channel, api_mtls_endpoint, client_cert_source, ssl_channel_credentials, client_cert_source_for_mtls, quota_project_id, client_info, always_use_jwt_access, api_audience)\u001b[39m\n\u001b[32m    230\u001b[39m             \u001b[38;5;28mself\u001b[39m._ssl_channel_credentials = grpc.ssl_channel_credentials(\n\u001b[32m    231\u001b[39m                 certificate_chain=cert, private_key=key\n\u001b[32m    232\u001b[39m             )\n\u001b[32m    234\u001b[39m \u001b[38;5;66;03m# The base transport sets the host, credentials and scopes\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m235\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m.\u001b[49m\u001b[34;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[32m    236\u001b[39m \u001b[43m    \u001b[49m\u001b[43mhost\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhost\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    237\u001b[39m \u001b[43m    \u001b[49m\u001b[43mcredentials\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcredentials\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    238\u001b[39m \u001b[43m    \u001b[49m\u001b[43mcredentials_file\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcredentials_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    239\u001b[39m \u001b[43m    \u001b[49m\u001b[43mscopes\u001b[49m\u001b[43m=\u001b[49m\u001b[43mscopes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    240\u001b[39m \u001b[43m    \u001b[49m\u001b[43mquota_project_id\u001b[49m\u001b[43m=\u001b[49m\u001b[43mquota_project_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    241\u001b[39m \u001b[43m    \u001b[49m\u001b[43mclient_info\u001b[49m\u001b[43m=\u001b[49m\u001b[43mclient_info\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    242\u001b[39m \u001b[43m    \u001b[49m\u001b[43malways_use_jwt_access\u001b[49m\u001b[43m=\u001b[49m\u001b[43malways_use_jwt_access\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    243\u001b[39m \u001b[43m    \u001b[49m\u001b[43mapi_audience\u001b[49m\u001b[43m=\u001b[49m\u001b[43mapi_audience\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    244\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    246\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m._grpc_channel:\n\u001b[32m    247\u001b[39m     \u001b[38;5;66;03m# initialize with the provided callable or the default channel\u001b[39;00m\n\u001b[32m    248\u001b[39m     channel_init = channel \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m).create_channel\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dines\\OneDrive\\Desktop\\Ai for Marketing\\venv\\Lib\\site-packages\\google\\ai\\generativelanguage_v1beta\\services\\generative_service\\transports\\base.py:100\u001b[39m, in \u001b[36mGenerativeServiceTransport.__init__\u001b[39m\u001b[34m(self, host, credentials, credentials_file, scopes, quota_project_id, client_info, always_use_jwt_access, api_audience, **kwargs)\u001b[39m\n\u001b[32m     96\u001b[39m     credentials, _ = google.auth.load_credentials_from_file(\n\u001b[32m     97\u001b[39m         credentials_file, **scopes_kwargs, quota_project_id=quota_project_id\n\u001b[32m     98\u001b[39m     )\n\u001b[32m     99\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m credentials \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m._ignore_credentials:\n\u001b[32m--> \u001b[39m\u001b[32m100\u001b[39m     credentials, _ = \u001b[43mgoogle\u001b[49m\u001b[43m.\u001b[49m\u001b[43mauth\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    101\u001b[39m \u001b[43m        \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mscopes_kwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mquota_project_id\u001b[49m\u001b[43m=\u001b[49m\u001b[43mquota_project_id\u001b[49m\n\u001b[32m    102\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    103\u001b[39m     \u001b[38;5;66;03m# Don't apply audience if the credentials file passed from user.\u001b[39;00m\n\u001b[32m    104\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(credentials, \u001b[33m\"\u001b[39m\u001b[33mwith_gdch_audience\u001b[39m\u001b[33m\"\u001b[39m):\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dines\\OneDrive\\Desktop\\Ai for Marketing\\venv\\Lib\\site-packages\\google\\auth\\_default.py:719\u001b[39m, in \u001b[36mdefault\u001b[39m\u001b[34m(scopes, request, quota_project_id, default_scopes)\u001b[39m\n\u001b[32m    711\u001b[39m             _LOGGER.warning(\n\u001b[32m    712\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mNo project ID could be determined. Consider running \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    713\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33m`gcloud config set project` or setting the \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    714\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33menvironment variable\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m    715\u001b[39m                 environment_vars.PROJECT,\n\u001b[32m    716\u001b[39m             )\n\u001b[32m    717\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m credentials, effective_project_id\n\u001b[32m--> \u001b[39m\u001b[32m719\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m exceptions.DefaultCredentialsError(_CLOUD_SDK_MISSING_CREDENTIALS)\n",
+      "\u001b[31mDefaultCredentialsError\u001b[39m: Your default credentials were not found. To set up Application Default Credentials, see https://cloud.google.com/docs/authentication/external/set-up-adc for more information."
+     ]
+    }
+   ],
+   "source": [
+    "from langchain_google_genai import ChatGoogleGenerativeAI\n",
+    "import os\n",
+    "\n",
+    "# Set the API key\n",
+    "os.environ[\"GEMINI_API_KEY\"] = \"AIzaSyA2WApH-qFk1hetH3wmpT1pR6J0OOm3U3c\"\n",
+    "\n",
+    "# Use the correct model name from the list\n",
+    "llm = ChatGoogleGenerativeAI(model=\"gemini-1.5-pro-latest\")\n",
+    "\n",
+    "# Test the model with a prompt\n",
+    "response = llm.invoke(\"Generate a marketing slogan for AI-powered advertising.\")\n",
+    "print(response)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "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": "3.12.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

streamlit_gemini_langchain.py

@@ -0,0 +1,52 @@
+import streamlit as st
+from langchain_google_genai import ChatGoogleGenerativeAI  # Correct Import
+from dotenv import load_dotenv
+import os
+
+# Load API key from .env file
+load_dotenv()
+API_KEY = os.getenv("GEMINI_API_KEY")
+
+# Initialize LangChain's ChatGoogleGenerativeAI
+llm = ChatGoogleGenerativeAI(model="gemini-1.5-pro", google_api_key=API_KEY)
+
+# Function to process and format the AI output
+def format_output(text):
+    """Refine AI-generated text into a structured format."""
+    sections = text.split("**option")  # Split into different options
+    formatted_text = ""
+
+    for section in sections:
+        if section.strip():
+            formatted_text += f"🟢 **Option {section.strip()}**\n\n"  # Highlight each option
+    return formatted_text if formatted_text else "No output generated. Try again."
+
+# Function to generate AI content using LangChain
+def generate_marketing_content(prompt):
+    """Generate marketing content using LangChain's ChatGoogleGenerativeAI."""
+    try:
+        response = llm.invoke(prompt)  # Use invoke() instead of predict()
+        return format_output(response.content)  # Extract text correctly
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+# Streamlit UI
+st.set_page_config(page_title="AI Marketing Generator", layout="wide")
+st.title("🚀 AI Marketing Generator")
+st.write("Generate high-quality marketing slogans, ad copy, and campaign ideas instantly!")
+
+# User Inputs
+category = st.selectbox("Select Content Type", ["Slogan", "Ad Copy", "Campaign Idea"])
+tone = st.selectbox("Select Tone", ["Energetic ⚡", "Professional 👔", "Fun 🎉"])
+product = st.text_input("Enter Product Name")
+
+if st.button("🎯 Generate Marketing Content"):
+    if product:
+        prompt = f"Generate a {tone.split()[0].lower()} {category.lower()} for the following product: {product}."
+        output = generate_marketing_content(prompt)
+        
+        st.success("✅ Content Generated Successfully!")
+        st.subheader("📌 **Generated Content**:")
+        st.markdown(output, unsafe_allow_html=True)
+    else:
+        st.warning("⚠️ Please enter a product description.")