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.Trash-1000/files/Index_update.ipynb

@@ -0,0 +1,96 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c4c55f1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#deletion and creation of index\n",
+    "\n",
+    "import requests\n",
+    "\n",
+    "\n",
+    "api_key = \"8f0e6749-4859-4eb8-a8cf-4e2e72cf4bc1\"\n",
+    "base_url = \"https://api.pinecone.io\"\n",
+    "\n",
+    "# Index name\n",
+    "index_name = \"ktbot\"\n",
+    "\n",
+    "# Construct the delete URL for the index\n",
+    "delete_url = f\"{base_url}/indexes/{index_name}\"\n",
+    "\n",
+    "# Headers with API key\n",
+    "headers = {\n",
+    "    \"Content-Type\": \"application/json\",\n",
+    "    \"Api-Key\": api_key\n",
+    "}\n",
+    "\n",
+    "# Send the DELETE request to delete the existing index\n",
+    "response_delete = requests.delete(delete_url, headers=headers)\n",
+    "print(response_delete.status_code)\n",
+    "# Check the response status\n",
+    "if response_delete.status_code in (204, 202, 404):\n",
+    "    print(f\"Index '{index_name}' deleted successfully.\")\n",
+    "else:\n",
+    "    print(f\"Failed to delete index '{index_name}': {response_delete.status_code} - {response_delete.text}\")\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "# Construct the URL for creating the index\n",
+    "create_index_url = f\"{base_url}/indexes\"\n",
+    "\n",
+    "\n",
+    "# Define the payload for creating the index\n",
+    "payload = {\n",
+    "    \"name\": index_name,\n",
+    "    \"dimension\": 1536,\n",
+    "    \"metric\": \"cosine\",\n",
+    "    \"spec\": {\n",
+    "        \"serverless\": {\n",
+    "            \"cloud\": \"aws\",\n",
+    "            \"region\": \"us-east-1\"\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "# Send the POST request to create the index\n",
+    "response = requests.post(create_index_url, headers=headers, json=payload)\n",
+    "\n",
+    "# Check the response status\n",
+    "if response.status_code == 201:\n",
+    "    print(f\"Index '{index_name}' created successfully.\")\n",
+    "    response_json = json.loads(response.text)\n",
+    "    host = response_json[\"host\"]\n",
+    "    # Print the host\n",
+    "    print(\"Host for index 'ktbot':\", host)\n",
+    "\n",
+    "else:\n",
+    "    print(f\"Failed to create index '{index_name}': {response.status_code} - {response.text}\")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "conda_python3",
+   "language": "python",
+   "name": "conda_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": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

.Trash-1000/files/Pinecone_upsert.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "1459dedf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of documents loaded: 3\n",
+      "Number of split documents: 9\n",
+      "Data upserted successfully.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ec2-user/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host 'ktbot-fshno4r.svc.aped-4627-b74a.pinecone.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "from docx import Document\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
+    "from openai import AzureOpenAI\n",
+    "import httpx\n",
+    "import requests\n",
+    "import json\n",
+    "import openai\n",
+    "import pinecone\n",
+    "from langchain.document_loaders import DirectoryLoader\n",
+    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain.vectorstores import Pinecone\n",
+    "from langchain.llms import OpenAI\n",
+    "from langchain.chains.question_answering import load_qa_chain\n",
+    "import boto3\n",
+    "# Initialize a session using Amazon S3\n",
+    "s3 = boto3.client('s3')\n",
+    "import io\n",
+    "\n",
+    "def load_docx(file_content):\n",
+    "    # Read the DOCX file content and return the text\n",
+    "    doc = Document(io.BytesIO(file_content))\n",
+    "    full_text = []\n",
+    "    for para in doc.paragraphs:\n",
+    "        full_text.append(para.text)\n",
+    "    return '\\n'.join(full_text)\n",
+    "\n",
+    "def load_docs_from_s3(bucket_name, prefix):\n",
+    "    documents = []\n",
+    "    try:\n",
+    "        # List all objects in the S3 bucket with the specified prefix\n",
+    "        response = s3.list_objects_v2(Bucket=bucket_name, Prefix=prefix)\n",
+    "        for obj in response.get('Contents', []):\n",
+    "            if obj['Key'].endswith('.docx'):\n",
+    "                # Read the file content from S3\n",
+    "                file_obj = s3.get_object(Bucket=bucket_name, Key=obj['Key'])\n",
+    "                file_content = file_obj['Body'].read()\n",
+    "                text = load_docx(file_content)\n",
+    "                if text:\n",
+    "                    documents.append((obj['Key'], text))  # Store filename and text together\n",
+    "    except Exception as e:\n",
+    "        print(f\"Error accessing S3 bucket: {e}\")\n",
+    "    return documents\n",
+    "\n",
+    "# Example usage\n",
+    "\n",
+    "\n",
+    "bucket_name = 'emd-forecast'\n",
+    "prefix = 'gtn/input/knowledge_base/'  # Replace with your actual prefix\n",
+    "\n",
+    "\n",
+    "    \n",
+    "# Split documents into chunks\n",
+    "def split_docs(documents, chunk_size=1000, chunk_overlap=20):\n",
+    "    text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)\n",
+    "    docs = []\n",
+    "    for doc_id, doc in documents:\n",
+    "        splits = text_splitter.split_text(doc)\n",
+    "        docs.extend([(doc_id, split) for split in splits])\n",
+    "    return docs\n",
+    "\n",
+    "# Load documents from a directory\n",
+    "documents = load_docs_from_s3(bucket_name, prefix)\n",
+    "print(f\"Number of documents loaded: {len([d[0] for d in documents])}\")\n",
+    "\n",
+    "# Split documents into chunks\n",
+    "docs = split_docs(documents)\n",
+    "print(f\"Number of split documents: {len(docs)}\")\n",
+    "\n",
+    "# Initialize HTTP client\n",
+    "httpx_client = httpx.Client(http2=True, verify='cacert.pem')\n",
+    "\n",
+    "# Initialize AzureOpenAI client with the HTTP client\n",
+    "client = AzureOpenAI(\n",
+    "    azure_endpoint=\"https://api.nlp.dev.uptimize.merckgroup.com\",\n",
+    "    api_key='c6140592-6c65-4261-a959-2e2ba099526d',\n",
+    "    api_version=\"2023-09-01-preview\",\n",
+    "    http_client=httpx_client\n",
+    ")\n",
+    "\n",
+    "# Generate embeddings for all document chunks\n",
+    "embeddings = []\n",
+    "\n",
+    "for doc_id, doc in docs:\n",
+    "    text = doc\n",
+    "    embedding_response = client.embeddings.create(input=text, model=\"text-embedding-ada-002-v2\")\n",
+    "    if embedding_response is not None:\n",
+    "        embedding = embedding_response.data[0].embedding\n",
+    "        embeddings.append((embedding, doc_id, text))\n",
+    "\n",
+    "api_key = \"8f0e6749-4859-4eb8-a8cf-4e2e72cf4bc1\"\n",
+    "base_url = \"https://ktbot-fshno4r.svc.aped-4627-b74a.pinecone.io\"\n",
+    "\n",
+    "delete_url = f\"{base_url}/vectors/delete\"\n",
+    "\n",
+    "upsert_endpoint = f\"{base_url}/vectors/upsert\"\n",
+    "\n",
+    "# Headers with API key\n",
+    "headers = {\n",
+    "    \"Content-Type\": \"application/json\",\n",
+    "    \"Api-Key\": api_key\n",
+    "}\n",
+    "\n",
+    "dimension = 1536\n",
+    "for embed, doc_id, text in embeddings:\n",
+    "    assert len(embed) == dimension, \"Embedding dimension mismatch\"\n",
+    "\n",
+    "# Prepare the data to be added to the index\n",
+    "data = {\n",
+    "    \"vectors\": [\n",
+    "        {\n",
+    "            \"id\": f\"{doc_id}-{i}\",  # Unique id for each chunk\n",
+    "            \"values\": embed,  # Convert numpy array to list\n",
+    "            \"metadata\": {\"text\": text[:500]}  # Store the first 500 characters of the text for preview\n",
+    "        }\n",
+    "        for i, (embed, doc_id, text) in enumerate(embeddings)\n",
+    "    ]\n",
+    "}\n",
+    "\n",
+    "# Make the POST request to upsert data\n",
+    "response = requests.post(upsert_endpoint, headers=headers, json=data, verify=False)\n",
+    "\n",
+    "# Check if the request was successful\n",
+    "if response.status_code == 200:\n",
+    "    print(\"Data upserted successfully.\")\n",
+    "else:\n",
+    "    print(f\"Failed to upsert data: {response.status_code} - {response.reason}\")\n",
+    "    print(\"Response content:\", response.text)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0d07c356",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "conda_pytorch_p310",
+   "language": "python",
+   "name": "conda_pytorch_p310"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

.Trash-1000/files/Untitled 1.ipynb

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+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

.Trash-1000/files/Untitled.ipynb

@@ -0,0 +1,361 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "4b645a21",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "My public IP address is: 52.54.134.213\n"
+     ]
+    }
+   ],
+   "source": [
+    "from requests import get\n",
+    "ip = get('https://api.ipify.org').content.decode('utf8')\n",
+    "print('My public IP address is: {}'.format(ip))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "35eed6ac",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting docx\n",
+      "  Downloading docx-0.2.4.tar.gz (54 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.9/54.9 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25hCollecting lxml (from docx)\n",
+      "  Downloading lxml-5.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.4 kB)\n",
+      "Requirement already satisfied: Pillow>=2.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from docx) (10.2.0)\n",
+      "Downloading lxml-5.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.0 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.0/5.0 MB\u001b[0m \u001b[31m26.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n",
+      "\u001b[?25hBuilding wheels for collected packages: docx\n",
+      "  Building wheel for docx (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for docx: filename=docx-0.2.4-py3-none-any.whl size=53895 sha256=f41f957c2ae37f6fa8c9bc84a51bf04272a0b7723ee075b4ad795c4f26527ee1\n",
+      "  Stored in directory: /home/ec2-user/.cache/pip/wheels/81/f5/1d/e09ba2c1907a43a4146d1189ae4733ca1a3bfe27ee39507767\n",
+      "Successfully built docx\n",
+      "Installing collected packages: lxml, docx\n",
+      "Successfully installed docx-0.2.4 lxml-5.2.2\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "from docx import Document\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
+    "from openai import AzureOpenAI\n",
+    "import httpx\n",
+    "import requests\n",
+    "import json\n",
+    "import openai\n",
+    "import pinecone\n",
+    "from langchain.document_loaders import DirectoryLoader\n",
+    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain.vectorstores import Pinecone\n",
+    "from langchain.llms import OpenAI\n",
+    "from langchain.chains.question_answering import load_qa_chain\n",
+    "# Initialize a session using Amazon S3\n",
+    "s3 = boto3.client('s3')\n",
+    "\n",
+    "def load_docx(file_content):\n",
+    "    # Read the DOCX file content and return the text\n",
+    "    doc = Document(io.BytesIO(file_content))\n",
+    "    full_text = []\n",
+    "    for para in doc.paragraphs:\n",
+    "        full_text.append(para.text)\n",
+    "    return '\\n'.join(full_text)\n",
+    "\n",
+    "def load_docs_from_s3(bucket_name, prefix):\n",
+    "    documents = []\n",
+    "    try:\n",
+    "        # List all objects in the S3 bucket with the specified prefix\n",
+    "        response = s3.list_objects_v2(Bucket=bucket_name, Prefix=prefix)\n",
+    "        for obj in response.get('Contents', []):\n",
+    "            if obj['Key'].endswith('.docx'):\n",
+    "                # Read the file content from S3\n",
+    "                file_obj = s3.get_object(Bucket=bucket_name, Key=obj['Key'])\n",
+    "                file_content = file_obj['Body'].read()\n",
+    "                text = load_docx(file_content)\n",
+    "                if text:\n",
+    "                    documents.append((obj['Key'], text))  # Store filename and text together\n",
+    "    except Exception as e:\n",
+    "        print(f\"Error accessing S3 bucket: {e}\")\n",
+    "    return documents\n",
+    "\n",
+    "# Example usage\n",
+    "\n",
+    "\n",
+    "bucket_name = 'emd-forecast'\n",
+    "prefix = 'gtn/input/knowledge_base/'  # Replace with your actual prefix\n",
+    "\n",
+    "\n",
+    "    \n",
+    "# Split documents into chunks\n",
+    "def split_docs(documents, chunk_size=1000, chunk_overlap=20):\n",
+    "    text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)\n",
+    "    docs = []\n",
+    "    for doc_id, doc in documents:\n",
+    "        splits = text_splitter.split_text(doc)\n",
+    "        docs.extend([(doc_id, split) for split in splits])\n",
+    "    return docs\n",
+    "\n",
+    "# Load documents from a directory\n",
+    "documents = load_docs_from_s3(bucket_name, prefix)\n",
+    "print(f\"Number of documents loaded: {len([d[0] for d in documents])}\")\n",
+    "\n",
+    "# Split documents into chunks\n",
+    "docs = split_docs(documents)\n",
+    "print(f\"Number of split documents: {len(docs)}\")\n",
+    "\n",
+    "# Initialize HTTP client\n",
+    "httpx_client = httpx.Client(http2=True, verify='cacert.pem')\n",
+    "\n",
+    "# Initialize AzureOpenAI client with the HTTP client\n",
+    "client = AzureOpenAI(\n",
+    "    azure_endpoint=\"https://api.nlp.dev.uptimize.merckgroup.com\",\n",
+    "    api_key='c6140592-6c65-4261-a959-2e2ba099526d',\n",
+    "    api_version=\"2023-09-01-preview\",\n",
+    "    http_client=httpx_client\n",
+    ")\n",
+    "\n",
+    "# Generate embeddings for all document chunks\n",
+    "embeddings = []\n",
+    "\n",
+    "for doc_id, doc in docs:\n",
+    "    text = doc\n",
+    "    embedding_response = client.embeddings.create(input=text, model=\"text-embedding-ada-002\")\n",
+    "    if embedding_response is not None:\n",
+    "        embedding = embedding_response.data[0].embedding\n",
+    "        embeddings.append((embedding, doc_id, text))\n",
+    "\n",
+    "api_key = \"8f0e6749-4859-4eb8-a8cf-4e2e72cf4bc1\"\n",
+    "base_url = \"https://ktbot-fshno4r.svc.aped-4627-b74a.pinecone.io\"\n",
+    "\n",
+    "delete_url = f\"{base_url}/vectors/delete\"\n",
+    "\n",
+    "upsert_endpoint = f\"{base_url}/vectors/upsert\"\n",
+    "\n",
+    "# Headers with API key\n",
+    "headers = {\n",
+    "    \"Content-Type\": \"application/json\",\n",
+    "    \"Api-Key\": api_key\n",
+    "}\n",
+    "\n",
+    "dimension = 1536\n",
+    "for embed, doc_id, text in embeddings:\n",
+    "    assert len(embed) == dimension, \"Embedding dimension mismatch\"\n",
+    "\n",
+    "# Prepare the data to be added to the index\n",
+    "data = {\n",
+    "    \"vectors\": [\n",
+    "        {\n",
+    "            \"id\": f\"{doc_id}-{i}\",  # Unique id for each chunk\n",
+    "            \"values\": embed,  # Convert numpy array to list\n",
+    "            \"metadata\": {\"text\": text[:500]}  # Store the first 500 characters of the text for preview\n",
+    "        }\n",
+    "        for i, (embed, doc_id, text) in enumerate(embeddings)\n",
+    "    ]\n",
+    "}\n",
+    "\n",
+    "# Make the POST request to upsert data\n",
+    "response = requests.post(upsert_endpoint, headers=headers, json=data, verify=False)\n",
+    "\n",
+    "# Check if the request was successful\n",
+    "if response.status_code == 200:\n",
+    "    print(\"Data upserted successfully.\")\n",
+    "else:\n",
+    "    print(f\"Failed to upsert data: {response.status_code} - {response.reason}\")\n",
+    "    print(\"Response content:\", response.text)\n",
+    "\n",
+    "# Dictionary to store the full text for each document chunk\n",
+    "doc_text_dict = {f\"{doc_id}-{i}\": text for i, (embed, doc_id, text) in enumerate(embeddings)}\n",
+    "# Preprocess the id to extract a consistent format\n",
+    "# Preprocess the id to extract a consistent format\n",
+    "def preprocess_id(id_str):\n",
+    "    if id_str.startswith(\"page_content=\"):\n",
+    "        return id_str.split(\"=\")[1].strip(\"'\")\n",
+    "    else:\n",
+    "        return id_str\n",
+    "\n",
+    "\n",
+    "\n",
+    "# Update the get_similar_docs function to preprocess the id before retrieval\n",
+    "def get_similar_docs(query, k=2, score=False):\n",
+    "    # Generate the embedding for the query\n",
+    "    query_embedding_response = client.embeddings.create(input=query, model=\"text-embedding-ada-002\")\n",
+    "    query_embedding = query_embedding_response.data[0].embedding\n",
+    "    \n",
+    "    # Search the Pinecone index for similar documents\n",
+    "    query_payload = {\n",
+    "        \"top_k\": k,\n",
+    "        \"include_values\": score,\n",
+    "        \"vector\": query_embedding\n",
+    "    }\n",
+    "    query_endpoint = f\"{base_url}/query\"\n",
+    "    query_response = requests.post(query_endpoint, headers=headers, json=query_payload, verify=False)\n",
+    "    \n",
+    "    # Extract and return the similar documents\n",
+    "    if query_response.status_code == 200:\n",
+    "        search_results = query_response.json()\n",
+    "        print(search_results)\n",
+    "        similar_docs = [doc_text_dict[preprocess_id(match['id'])] for match in search_results['matches']]\n",
+    "        return similar_docs\n",
+    "    else:\n",
+    "        print(f\"Failed to retrieve similar documents: {query_response.status_code} - {query_response.reason}\")\n",
+    "        print(\"Response content:\", query_response.text)\n",
+    "        return []\n",
+    "\n",
+    "\n",
+    "def get_answer(query):\n",
+    "    similar_docs = get_similar_docs(query)\n",
+    "    combined_message = f\"Question: {query}\\nDocuments: {similar_docs}\"\n",
+    "    openai_key = 'c6140592-6c65-4261-a959-2e2ba099526d'\n",
+    "    openai_url = \"https://api.nlp.dev.uptimize.merckgroup.com/openai/deployments/gpt-4-turbo/chat/completions?api-version=2023-09-01-preview\"\n",
+    "    headers = {\n",
+    "        \"Content-Type\": \"application/json\",\n",
+    "        \"x-api-key\": openai_key,\n",
+    "        \"region\": \"EU\"\n",
+    "    }\n",
+    "    \n",
+    "    payload = {\n",
+    "        \"model\": \"gpt-4-turbo\",\n",
+    "        \"messages\": [\n",
+    "            {\"role\": \"user\", \"content\": combined_message}\n",
+    "        ],\n",
+    "        \"max_tokens\": 1024,\n",
+    "        \"n\": 1,\n",
+    "        \"temperature\": 0\n",
+    "    }\n",
+    "\n",
+    "    try:\n",
+    "        response = requests.post(openai_url, headers=headers, data=json.dumps(payload), verify=False)\n",
+    "        response.raise_for_status()  # Raise an exception for HTTP errors\n",
+    "        ChatGPT_reply = response.json()[\"choices\"][0][\"message\"][\"content\"]\n",
+    "        return ChatGPT_reply\n",
+    "    except requests.exceptions.RequestException as e:\n",
+    "        print(\"ERROR\")\n",
+    "        print(e)\n",
+    "        raise Exception(f'Request failed: {e}')\n",
+    "\n",
+    "# Example usage:\n",
+    "query = \"What should be the S3 bucket for final Forecast dump exported from SAC?\"\n",
+    "answer = get_answer(query)\n",
+    "print(answer)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a1fc8e0d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_key = 'gtn/input/logo_ktbot.png'\n",
+    "\n",
+    "# Download the file from S3\n",
+    "response = s3.get_object(Bucket=bucket_name, Key=file_key)\n",
+    "file_content = response['Body'].read()\n",
+    "\n",
+    "# Encode the file content in base64\n",
+    "png_base64 = base64.b64encode(file_content).decode('utf-8')\n",
+    "png_data_url = f\"data:image/png;base64,{png_base64}\"\n",
+    "\n",
+    "# Print the data URL\n",
+    "print(png_data_url)\n",
+    "\n",
+    "\n",
+    "def message_and_history(input, history):\n",
+    "    history = history or []\n",
+    "    s = list(sum(history, ()))\n",
+    "    s.append(input)\n",
+    "    inp = ' '.join(s)\n",
+    "    output = get_answer(inp)\n",
+    "    history.append((input, output))\n",
+    "    return history, history\n",
+    "\n",
+    "\n",
+    "block = gr.Blocks(theme=gr.themes.Soft())\n",
+    "\n",
+    "with block:\n",
+    "    with gr.Row():\n",
+    "        with gr.Column(scale=1, min_width=300):\n",
+    "            gr.Markdown(f\"\"\"\n",
+    "            <div style=\"display: flex; align-items: center; justify-content: center; height: calc(100% - 50px);\">\n",
+    "            <img src=\"{png_data_url}\" alt=\"Logo\" style=\"height: auto; max-height: 100%;\">\n",
+    "            </div>\n",
+    "\n",
+    "            \"\"\")\n",
+    "        with gr.Column(scale=2):\n",
+    "            chatbot = gr.Chatbot(label=\"KT Bot\")\n",
+    "            message = gr.Textbox(placeholder=\"Your KT bot, ask me anything...\",label=\"Query\")\n",
+    "            state = gr.State()\n",
+    "            submit = gr.Button(\"SEND\")\n",
+    "            submit.click(message_and_history,  \n",
+    "                 inputs=[message, state],  \n",
+    "                 outputs=[chatbot, state])\n",
+    "\n",
+    "# Apply custom CSS using JavaScript\n",
+    "block.launch(debug=True, inbrowser=True,share=True)\n",
+    "block.load(None, None, None, _js=\"\"\"\n",
+    "    (function() {\n",
+    "        var style = document.createElement('style');\n",
+    "        style.innerHTML = `\n",
+    "            #message-box textarea {\n",
+    "                border: 1px solid black !important;\n",
+    "            }\n",
+    "        `;\n",
+    "        document.head.appendChild(style);\n",
+    "    })();\n",
+    "\"\"\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cebfb55e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f8256f50",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "conda_python3",
+   "language": "python",
+   "name": "conda_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": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

.Trash-1000/files/Untitled1.ipynb

@@ -0,0 +1,96 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90983f68",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#deletion and creation of index\n",
+    "\n",
+    "import requests\n",
+    "\n",
+    "\n",
+    "api_key = \"8f0e6749-4859-4eb8-a8cf-4e2e72cf4bc1\"\n",
+    "base_url = \"https://api.pinecone.io\"\n",
+    "\n",
+    "# Index name\n",
+    "index_name = \"ktbot\"\n",
+    "\n",
+    "# Construct the delete URL for the index\n",
+    "delete_url = f\"{base_url}/indexes/{index_name}\"\n",
+    "\n",
+    "# Headers with API key\n",
+    "headers = {\n",
+    "    \"Content-Type\": \"application/json\",\n",
+    "    \"Api-Key\": api_key\n",
+    "}\n",
+    "\n",
+    "# Send the DELETE request to delete the existing index\n",
+    "response_delete = requests.delete(delete_url, headers=headers)\n",
+    "print(response_delete.status_code)\n",
+    "# Check the response status\n",
+    "if response_delete.status_code in (204, 202, 404):\n",
+    "    print(f\"Index '{index_name}' deleted successfully.\")\n",
+    "else:\n",
+    "    print(f\"Failed to delete index '{index_name}': {response_delete.status_code} - {response_delete.text}\")\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "# Construct the URL for creating the index\n",
+    "create_index_url = f\"{base_url}/indexes\"\n",
+    "\n",
+    "\n",
+    "# Define the payload for creating the index\n",
+    "payload = {\n",
+    "    \"name\": index_name,\n",
+    "    \"dimension\": 1536,\n",
+    "    \"metric\": \"cosine\",\n",
+    "    \"spec\": {\n",
+    "        \"serverless\": {\n",
+    "            \"cloud\": \"aws\",\n",
+    "            \"region\": \"us-east-1\"\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "# Send the POST request to create the index\n",
+    "response = requests.post(create_index_url, headers=headers, json=payload)\n",
+    "\n",
+    "# Check the response status\n",
+    "if response.status_code == 201:\n",
+    "    print(f\"Index '{index_name}' created successfully.\")\n",
+    "    response_json = json.loads(response.text)\n",
+    "    host = response_json[\"host\"]\n",
+    "    # Print the host\n",
+    "    print(\"Host for index 'ktbot':\", host)\n",
+    "\n",
+    "else:\n",
+    "    print(f\"Failed to create index '{index_name}': {response.status_code} - {response.text}\")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "conda_python3",
+   "language": "python",
+   "name": "conda_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": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

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+[Trash Info]
+Path=Index_update.ipynb
+DeletionDate=2024-06-07T09:05:49

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+[Trash Info]
+Path=Pinecone_upsert.ipynb
+DeletionDate=2024-06-18T08:33:21

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+[Trash Info]
+Path=Untitled.ipynb
+DeletionDate=2024-06-18T08:33:21

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+Path=Untitled.ipynb
+DeletionDate=2024-06-07T07:59:19

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+[Trash Info]
+Path=Untitled1.ipynb
+DeletionDate=2024-06-07T07:59:19

KTBOT.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "3cb079ba",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting boto3==1.28.44\n",
+      "  Downloading boto3-1.28.44-py3-none-any.whl.metadata (6.7 kB)\n",
+      "Collecting botocore<1.32.0,>=1.31.44 (from boto3==1.28.44)\n",
+      "  Downloading botocore-1.31.85-py3-none-any.whl.metadata (6.1 kB)\n",
+      "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from boto3==1.28.44) (1.0.1)\n",
+      "Collecting s3transfer<0.7.0,>=0.6.0 (from boto3==1.28.44)\n",
+      "  Downloading s3transfer-0.6.2-py3-none-any.whl.metadata (1.8 kB)\n",
+      "Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from botocore<1.32.0,>=1.31.44->boto3==1.28.44) (2.9.0)\n",
+      "Collecting urllib3<2.1,>=1.25.4 (from botocore<1.32.0,>=1.31.44->boto3==1.28.44)\n",
+      "  Downloading urllib3-2.0.7-py3-none-any.whl.metadata (6.6 kB)\n",
+      "Requirement already satisfied: six>=1.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.32.0,>=1.31.44->boto3==1.28.44) (1.16.0)\n",
+      "Downloading boto3-1.28.44-py3-none-any.whl (135 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.8/135.8 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hDownloading botocore-1.31.85-py3-none-any.whl (11.3 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m92.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m0:01\u001b[0m\n",
+      "\u001b[?25hDownloading s3transfer-0.6.2-py3-none-any.whl (79 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.8/79.8 kB\u001b[0m \u001b[31m13.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hDownloading urllib3-2.0.7-py3-none-any.whl (124 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m124.2/124.2 kB\u001b[0m \u001b[31m20.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: urllib3, botocore, s3transfer, boto3\n",
+      "  Attempting uninstall: urllib3\n",
+      "    Found existing installation: urllib3 2.2.1\n",
+      "    Uninstalling urllib3-2.2.1:\n",
+      "      Successfully uninstalled urllib3-2.2.1\n",
+      "  Attempting uninstall: botocore\n",
+      "    Found existing installation: botocore 1.34.101\n",
+      "    Uninstalling botocore-1.34.101:\n",
+      "      Successfully uninstalled botocore-1.34.101\n",
+      "  Attempting uninstall: s3transfer\n",
+      "    Found existing installation: s3transfer 0.10.1\n",
+      "    Uninstalling s3transfer-0.10.1:\n",
+      "      Successfully uninstalled s3transfer-0.10.1\n",
+      "  Attempting uninstall: boto3\n",
+      "    Found existing installation: boto3 1.34.101\n",
+      "    Uninstalling boto3-1.34.101:\n",
+      "      Successfully uninstalled boto3-1.34.101\n",
+      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "awscli 1.32.101 requires botocore==1.34.101, but you have botocore 1.31.85 which is incompatible.\n",
+      "awscli 1.32.101 requires s3transfer<0.11.0,>=0.10.0, but you have s3transfer 0.6.2 which is incompatible.\n",
+      "sagemaker 2.219.0 requires boto3<2.0,>=1.33.3, but you have boto3 1.28.44 which is incompatible.\n",
+      "sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.1 which is incompatible.\n",
+      "sphinx 7.2.6 requires docutils<0.21,>=0.18.1, but you have docutils 0.16 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed boto3-1.28.44 botocore-1.31.85 s3transfer-0.6.2 urllib3-2.0.7\n",
+      "Collecting docx==0.2.4\n",
+      "  Downloading docx-0.2.4.tar.gz (54 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.9/54.9 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25hCollecting lxml (from docx==0.2.4)\n",
+      "  Downloading lxml-5.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.4 kB)\n",
+      "Requirement already satisfied: Pillow>=2.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from docx==0.2.4) (10.2.0)\n",
+      "Downloading lxml-5.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.0 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.0/5.0 MB\u001b[0m \u001b[31m55.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+      "\u001b[?25hBuilding wheels for collected packages: docx\n",
+      "  Building wheel for docx (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for docx: filename=docx-0.2.4-py3-none-any.whl size=53895 sha256=95ee7562fbf76e3f8f45492dfc3ff7802626fe7573e681d40e6bb9e1ee6a85fd\n",
+      "  Stored in directory: /home/ec2-user/.cache/pip/wheels/81/f5/1d/e09ba2c1907a43a4146d1189ae4733ca1a3bfe27ee39507767\n",
+      "Successfully built docx\n",
+      "Installing collected packages: lxml, docx\n",
+      "Successfully installed docx-0.2.4 lxml-5.2.2\n",
+      "Collecting httpx==0.26.0 (from httpx[http2]==0.26.0)\n",
+      "  Downloading httpx-0.26.0-py3-none-any.whl.metadata (7.6 kB)\n",
+      "Requirement already satisfied: anyio in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpx==0.26.0->httpx[http2]==0.26.0) (4.3.0)\n",
+      "Requirement already satisfied: certifi in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpx==0.26.0->httpx[http2]==0.26.0) (2024.2.2)\n",
+      "Requirement already satisfied: httpcore==1.* in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpx==0.26.0->httpx[http2]==0.26.0) (1.0.4)\n",
+      "Requirement already satisfied: idna in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpx==0.26.0->httpx[http2]==0.26.0) (3.6)\n",
+      "Requirement already satisfied: sniffio in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpx==0.26.0->httpx[http2]==0.26.0) (1.3.1)\n",
+      "Requirement already satisfied: h2<5,>=3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpx[http2]==0.26.0) (4.1.0)\n",
+      "Requirement already satisfied: h11<0.15,>=0.13 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpcore==1.*->httpx==0.26.0->httpx[http2]==0.26.0) (0.14.0)\n",
+      "Requirement already satisfied: hyperframe<7,>=6.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from h2<5,>=3->httpx[http2]==0.26.0) (6.0.1)\n",
+      "Requirement already satisfied: hpack<5,>=4.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from h2<5,>=3->httpx[http2]==0.26.0) (4.0.0)\n",
+      "Requirement already satisfied: exceptiongroup>=1.0.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from anyio->httpx==0.26.0->httpx[http2]==0.26.0) (1.2.0)\n",
+      "Requirement already satisfied: typing-extensions>=4.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from anyio->httpx==0.26.0->httpx[http2]==0.26.0) (4.10.0)\n",
+      "Downloading httpx-0.26.0-py3-none-any.whl (75 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.9/75.9 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: httpx\n",
+      "  Attempting uninstall: httpx\n",
+      "    Found existing installation: httpx 0.27.0\n",
+      "    Uninstalling httpx-0.27.0:\n",
+      "      Successfully uninstalled httpx-0.27.0\n",
+      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.1 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed httpx-0.26.0\n",
+      "Collecting langchain==0.2.0\n",
+      "  Downloading langchain-0.2.0-py3-none-any.whl.metadata (13 kB)\n",
+      "Requirement already satisfied: PyYAML>=5.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain==0.2.0) (6.0.1)\n",
+      "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain==0.2.0) (2.0.29)\n",
+      "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain==0.2.0) (3.9.3)\n",
+      "Requirement already satisfied: async-timeout<5.0.0,>=4.0.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain==0.2.0) (4.0.3)\n",
+      "Collecting dataclasses-json<0.7,>=0.5.7 (from langchain==0.2.0)\n",
+      "  Downloading dataclasses_json-0.6.7-py3-none-any.whl.metadata (25 kB)\n",
+      "Collecting langchain-core<0.3.0,>=0.2.0 (from langchain==0.2.0)\n",
+      "  Downloading langchain_core-0.2.8-py3-none-any.whl.metadata (5.8 kB)\n",
+      "Collecting langchain-text-splitters<0.3.0,>=0.2.0 (from langchain==0.2.0)\n",
+      "  Downloading langchain_text_splitters-0.2.1-py3-none-any.whl.metadata (2.2 kB)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting langsmith<0.2.0,>=0.1.17 (from langchain==0.2.0)\n",
+      "  Downloading langsmith-0.1.79-py3-none-any.whl.metadata (13 kB)\n",
+      "Requirement already satisfied: numpy<2,>=1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain==0.2.0) (1.22.4)\n",
+      "Collecting pydantic<3,>=1 (from langchain==0.2.0)\n",
+      "  Downloading pydantic-2.7.4-py3-none-any.whl.metadata (109 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m109.4/109.4 kB\u001b[0m \u001b[31m7.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: requests<3,>=2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain==0.2.0) (2.31.0)\n",
+      "Requirement already satisfied: tenacity<9.0.0,>=8.1.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain==0.2.0) (8.2.3)\n",
+      "Requirement already satisfied: aiosignal>=1.1.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.2.0) (1.3.1)\n",
+      "Requirement already satisfied: attrs>=17.3.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.2.0) (23.2.0)\n",
+      "Requirement already satisfied: frozenlist>=1.1.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.2.0) (1.4.1)\n",
+      "Requirement already satisfied: multidict<7.0,>=4.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.2.0) (6.0.5)\n",
+      "Requirement already satisfied: yarl<2.0,>=1.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.2.0) (1.9.4)\n",
+      "Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses-json<0.7,>=0.5.7->langchain==0.2.0)\n",
+      "  Downloading marshmallow-3.21.3-py3-none-any.whl.metadata (7.1 kB)\n",
+      "Collecting typing-inspect<1,>=0.4.0 (from dataclasses-json<0.7,>=0.5.7->langchain==0.2.0)\n",
+      "  Downloading typing_inspect-0.9.0-py3-none-any.whl.metadata (1.5 kB)\n",
+      "Collecting jsonpatch<2.0,>=1.33 (from langchain-core<0.3.0,>=0.2.0->langchain==0.2.0)\n",
+      "  Downloading jsonpatch-1.33-py2.py3-none-any.whl.metadata (3.0 kB)\n",
+      "Collecting packaging<25,>=23.2 (from langchain-core<0.3.0,>=0.2.0->langchain==0.2.0)\n",
+      "  Downloading packaging-24.1-py3-none-any.whl.metadata (3.2 kB)\n",
+      "Collecting orjson<4.0.0,>=3.9.14 (from langsmith<0.2.0,>=0.1.17->langchain==0.2.0)\n",
+      "  Downloading orjson-3.10.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (49 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.7/49.7 kB\u001b[0m \u001b[31m541.6 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
+      "\u001b[?25hCollecting annotated-types>=0.4.0 (from pydantic<3,>=1->langchain==0.2.0)\n",
+      "  Downloading annotated_types-0.7.0-py3-none-any.whl.metadata (15 kB)\n",
+      "Collecting pydantic-core==2.18.4 (from pydantic<3,>=1->langchain==0.2.0)\n",
+      "  Downloading pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.5 kB)\n",
+      "Requirement already satisfied: typing-extensions>=4.6.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pydantic<3,>=1->langchain==0.2.0) (4.10.0)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests<3,>=2->langchain==0.2.0) (3.3.2)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests<3,>=2->langchain==0.2.0) (3.6)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests<3,>=2->langchain==0.2.0) (2.0.7)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests<3,>=2->langchain==0.2.0) (2024.2.2)\n",
+      "Requirement already satisfied: greenlet!=0.4.17 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from SQLAlchemy<3,>=1.4->langchain==0.2.0) (3.0.3)\n",
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+      "Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain==0.2.0) (1.0.0)\n",
+      "Downloading langchain-0.2.0-py3-none-any.whl (973 kB)\n",
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+      "\u001b[?25hDownloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)\n",
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+      "\u001b[?25hDownloading langchain_text_splitters-0.2.1-py3-none-any.whl (23 kB)\n",
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+      "\u001b[?25hDownloading pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m31.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m\n",
+      "\u001b[?25hDownloading annotated_types-0.7.0-py3-none-any.whl (13 kB)\n",
+      "Downloading jsonpatch-1.33-py2.py3-none-any.whl (12 kB)\n",
+      "Downloading marshmallow-3.21.3-py3-none-any.whl (49 kB)\n",
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+      "\u001b[?25hDownloading orjson-3.10.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (144 kB)\n",
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+      "\u001b[?25hDownloading packaging-24.1-py3-none-any.whl (53 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.0/54.0 kB\u001b[0m \u001b[31m8.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hDownloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)\n",
+      "Installing collected packages: typing-inspect, pydantic-core, packaging, orjson, jsonpatch, annotated-types, pydantic, marshmallow, langsmith, dataclasses-json, langchain-core, langchain-text-splitters, langchain\n",
+      "  Attempting uninstall: packaging\n",
+      "    Found existing installation: packaging 21.3\n",
+      "    Uninstalling packaging-21.3:\n",
+      "      Successfully uninstalled packaging-21.3\n",
+      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "sagemaker 2.219.0 requires boto3<2.0,>=1.33.3, but you have boto3 1.28.44 which is incompatible.\n",
+      "sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.1 which is incompatible.\n",
+      "sphinx 7.2.6 requires docutils<0.21,>=0.18.1, but you have docutils 0.16 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed annotated-types-0.7.0 dataclasses-json-0.6.7 jsonpatch-1.33 langchain-0.2.0 langchain-core-0.2.8 langchain-text-splitters-0.2.1 langsmith-0.1.79 marshmallow-3.21.3 orjson-3.10.5 packaging-24.1 pydantic-2.7.4 pydantic-core-2.18.4 typing-inspect-0.9.0\n",
+      "Collecting openai==1.30.1\n",
+      "  Downloading openai-1.30.1-py3-none-any.whl.metadata (21 kB)\n",
+      "Requirement already satisfied: anyio<5,>=3.5.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from openai==1.30.1) (4.3.0)\n",
+      "Collecting distro<2,>=1.7.0 (from openai==1.30.1)\n",
+      "  Downloading distro-1.9.0-py3-none-any.whl.metadata (6.8 kB)\n",
+      "Requirement already satisfied: httpx<1,>=0.23.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from openai==1.30.1) (0.26.0)\n",
+      "Requirement already satisfied: pydantic<3,>=1.9.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from openai==1.30.1) (2.7.4)\n",
+      "Requirement already satisfied: sniffio in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from openai==1.30.1) (1.3.1)\n",
+      "Requirement already satisfied: tqdm>4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from openai==1.30.1) (4.66.2)\n",
+      "Requirement already satisfied: typing-extensions<5,>=4.7 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from openai==1.30.1) (4.10.0)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: idna>=2.8 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from anyio<5,>=3.5.0->openai==1.30.1) (3.6)\n",
+      "Requirement already satisfied: exceptiongroup>=1.0.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from anyio<5,>=3.5.0->openai==1.30.1) (1.2.0)\n",
+      "Requirement already satisfied: certifi in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpx<1,>=0.23.0->openai==1.30.1) (2024.2.2)\n",
+      "Requirement already satisfied: httpcore==1.* in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from httpx<1,>=0.23.0->openai==1.30.1) (1.0.4)\n",
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+      "Requirement already satisfied: annotated-types>=0.4.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pydantic<3,>=1.9.0->openai==1.30.1) (0.7.0)\n",
+      "Requirement already satisfied: pydantic-core==2.18.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pydantic<3,>=1.9.0->openai==1.30.1) (2.18.4)\n",
+      "Downloading openai-1.30.1-py3-none-any.whl (320 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m320.6/320.6 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m\n",
+      "\u001b[?25hDownloading distro-1.9.0-py3-none-any.whl (20 kB)\n",
+      "Installing collected packages: distro, openai\n",
+      "Successfully installed distro-1.9.0 openai-1.30.1\n",
+      "Collecting pandas==2.2.2\n",
+      "  Downloading pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)\n",
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+      "Requirement already satisfied: six>=1.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas==2.2.2) (1.16.0)\n",
+      "Downloading pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.0 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.0/13.0 MB\u001b[0m \u001b[31m56.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: pandas\n",
+      "  Attempting uninstall: pandas\n",
+      "    Found existing installation: pandas 2.2.1\n",
+      "    Uninstalling pandas-2.2.1:\n",
+      "      Successfully uninstalled pandas-2.2.1\n",
+      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "autovizwidget 0.21.0 requires pandas<2.0.0,>=0.20.1, but you have pandas 2.2.2 which is incompatible.\n",
+      "hdijupyterutils 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.2 which is incompatible.\n",
+      "sagemaker 2.219.0 requires boto3<2.0,>=1.33.3, but you have boto3 1.28.44 which is incompatible.\n",
+      "sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.2 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed pandas-2.2.2\n",
+      "Collecting pinecone-client==4.1.0\n",
+      "  Downloading pinecone_client-4.1.0-py3-none-any.whl.metadata (16 kB)\n",
+      "Requirement already satisfied: certifi>=2019.11.17 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pinecone-client==4.1.0) (2024.2.2)\n",
+      "Requirement already satisfied: tqdm>=4.64.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pinecone-client==4.1.0) (4.66.2)\n",
+      "Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pinecone-client==4.1.0) (4.10.0)\n",
+      "Requirement already satisfied: urllib3>=1.26.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pinecone-client==4.1.0) (2.0.7)\n",
+      "Downloading pinecone_client-4.1.0-py3-none-any.whl (215 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m215.5/215.5 kB\u001b[0m \u001b[31m10.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: pinecone-client\n",
+      "Successfully installed pinecone-client-4.1.0\n",
+      "Collecting streamlit==1.32.2\n",
+      "  Downloading streamlit-1.32.2-py2.py3-none-any.whl.metadata (8.5 kB)\n",
+      "Collecting altair<6,>=4.0 (from streamlit==1.32.2)\n",
+      "  Downloading altair-5.3.0-py3-none-any.whl.metadata (9.2 kB)\n",
+      "Requirement already satisfied: blinker<2,>=1.0.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (1.7.0)\n",
+      "Collecting cachetools<6,>=4.0 (from streamlit==1.32.2)\n",
+      "  Downloading cachetools-5.3.3-py3-none-any.whl.metadata (5.3 kB)\n",
+      "Requirement already satisfied: click<9,>=7.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (8.1.7)\n",
+      "Requirement already satisfied: numpy<2,>=1.19.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (1.22.4)\n",
+      "Collecting packaging<24,>=16.8 (from streamlit==1.32.2)\n",
+      "  Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\n",
+      "Requirement already satisfied: pandas<3,>=1.3.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (2.2.2)\n",
+      "Requirement already satisfied: pillow<11,>=7.1.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (10.2.0)\n",
+      "Requirement already satisfied: protobuf<5,>=3.20 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (4.25.3)\n",
+      "Requirement already satisfied: pyarrow>=7.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (15.0.2)\n",
+      "Requirement already satisfied: requests<3,>=2.27 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (2.31.0)\n",
+      "Requirement already satisfied: rich<14,>=10.14.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (13.7.1)\n",
+      "Requirement already satisfied: tenacity<9,>=8.1.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (8.2.3)\n",
+      "Requirement already satisfied: toml<2,>=0.10.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (0.10.2)\n",
+      "Requirement already satisfied: typing-extensions<5,>=4.3.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (4.10.0)\n",
+      "Collecting gitpython!=3.1.19,<4,>=3.0.7 (from streamlit==1.32.2)\n",
+      "  Using cached GitPython-3.1.43-py3-none-any.whl.metadata (13 kB)\n",
+      "Collecting pydeck<1,>=0.8.0b4 (from streamlit==1.32.2)\n",
+      "  Downloading pydeck-0.9.1-py2.py3-none-any.whl.metadata (4.1 kB)\n",
+      "Requirement already satisfied: tornado<7,>=6.0.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (6.4)\n",
+      "Requirement already satisfied: watchdog>=2.1.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from streamlit==1.32.2) (4.0.0)\n",
+      "Requirement already satisfied: jinja2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from altair<6,>=4.0->streamlit==1.32.2) (3.1.3)\n",
+      "Requirement already satisfied: jsonschema>=3.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from altair<6,>=4.0->streamlit==1.32.2) (4.21.1)\n",
+      "Requirement already satisfied: toolz in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from altair<6,>=4.0->streamlit==1.32.2) (0.12.1)\n",
+      "Collecting gitdb<5,>=4.0.1 (from gitpython!=3.1.19,<4,>=3.0.7->streamlit==1.32.2)\n",
+      "  Using cached gitdb-4.0.11-py3-none-any.whl.metadata (1.2 kB)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pandas<3,>=1.3.0->streamlit==1.32.2) (2.9.0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pandas<3,>=1.3.0->streamlit==1.32.2) (2024.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pandas<3,>=1.3.0->streamlit==1.32.2) (2024.1)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: charset-normalizer<4,>=2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests<3,>=2.27->streamlit==1.32.2) (3.3.2)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests<3,>=2.27->streamlit==1.32.2) (3.6)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests<3,>=2.27->streamlit==1.32.2) (2.0.7)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests<3,>=2.27->streamlit==1.32.2) (2024.2.2)\n",
+      "Requirement already satisfied: markdown-it-py>=2.2.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from rich<14,>=10.14.0->streamlit==1.32.2) (3.0.0)\n",
+      "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from rich<14,>=10.14.0->streamlit==1.32.2) (2.17.2)\n",
+      "Collecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->gitpython!=3.1.19,<4,>=3.0.7->streamlit==1.32.2)\n",
+      "  Using cached smmap-5.0.1-py3-none-any.whl.metadata (4.3 kB)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from jinja2->altair<6,>=4.0->streamlit==1.32.2) (2.1.5)\n",
+      "Requirement already satisfied: attrs>=22.2.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit==1.32.2) (23.2.0)\n",
+      "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit==1.32.2) (2023.12.1)\n",
+      "Requirement already satisfied: referencing>=0.28.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit==1.32.2) (0.34.0)\n",
+      "Requirement already satisfied: rpds-py>=0.7.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit==1.32.2) (0.18.0)\n",
+      "Requirement already satisfied: mdurl~=0.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from markdown-it-py>=2.2.0->rich<14,>=10.14.0->streamlit==1.32.2) (0.1.2)\n",
+      "Requirement already satisfied: six>=1.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas<3,>=1.3.0->streamlit==1.32.2) (1.16.0)\n",
+      "Downloading streamlit-1.32.2-py2.py3-none-any.whl (8.1 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.1/8.1 MB\u001b[0m \u001b[31m102.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+      "\u001b[?25hDownloading altair-5.3.0-py3-none-any.whl (857 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m857.8/857.8 kB\u001b[0m \u001b[31m18.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m\n",
+      "\u001b[?25hDownloading cachetools-5.3.3-py3-none-any.whl (9.3 kB)\n",
+      "Using cached GitPython-3.1.43-py3-none-any.whl (207 kB)\n",
+      "Downloading packaging-23.2-py3-none-any.whl (53 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.0/53.0 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hDownloading pydeck-0.9.1-py2.py3-none-any.whl (6.9 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.9/6.9 MB\u001b[0m \u001b[31m96.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n",
+      "\u001b[?25hUsing cached gitdb-4.0.11-py3-none-any.whl (62 kB)\n",
+      "Using cached smmap-5.0.1-py3-none-any.whl (24 kB)\n",
+      "Installing collected packages: smmap, packaging, cachetools, pydeck, gitdb, gitpython, altair, streamlit\n",
+      "  Attempting uninstall: packaging\n",
+      "    Found existing installation: packaging 24.1\n",
+      "    Uninstalling packaging-24.1:\n",
+      "      Successfully uninstalled packaging-24.1\n",
+      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "sagemaker 2.219.0 requires boto3<2.0,>=1.33.3, but you have boto3 1.28.44 which is incompatible.\n",
+      "sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.2 which is incompatible.\n",
+      "sphinx 7.2.6 requires docutils<0.21,>=0.18.1, but you have docutils 0.16 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed altair-5.3.0 cachetools-5.3.3 gitdb-4.0.11 gitpython-3.1.43 packaging-23.2 pydeck-0.9.1 smmap-5.0.1 streamlit-1.32.2\n",
+      "Collecting requests==2.28.1\n",
+      "  Downloading requests-2.28.1-py3-none-any.whl.metadata (4.6 kB)\n",
+      "Collecting charset-normalizer<3,>=2 (from requests==2.28.1)\n",
+      "  Downloading charset_normalizer-2.1.1-py3-none-any.whl.metadata (11 kB)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests==2.28.1) (3.6)\n",
+      "Collecting urllib3<1.27,>=1.21.1 (from requests==2.28.1)\n",
+      "  Downloading urllib3-1.26.19-py2.py3-none-any.whl.metadata (49 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.3/49.3 kB\u001b[0m \u001b[31m4.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from requests==2.28.1) (2024.2.2)\n",
+      "Downloading requests-2.28.1-py3-none-any.whl (62 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.8/62.8 kB\u001b[0m \u001b[31m7.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hDownloading charset_normalizer-2.1.1-py3-none-any.whl (39 kB)\n",
+      "Downloading urllib3-1.26.19-py2.py3-none-any.whl (143 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m143.9/143.9 kB\u001b[0m \u001b[31m14.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: urllib3, charset-normalizer, requests\n",
+      "  Attempting uninstall: urllib3\n",
+      "    Found existing installation: urllib3 2.0.7\n",
+      "    Uninstalling urllib3-2.0.7:\n",
+      "      Successfully uninstalled urllib3-2.0.7\n",
+      "  Attempting uninstall: charset-normalizer\n",
+      "    Found existing installation: charset-normalizer 3.3.2\n",
+      "    Uninstalling charset-normalizer-3.3.2:\n",
+      "      Successfully uninstalled charset-normalizer-3.3.2\n",
+      "  Attempting uninstall: requests\n",
+      "    Found existing installation: requests 2.31.0\n",
+      "    Uninstalling requests-2.31.0:\n",
+      "      Successfully uninstalled requests-2.31.0\n",
+      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "jupyterlab-server 2.25.4 requires requests>=2.31, but you have requests 2.28.1 which is incompatible.\n",
+      "sagemaker 2.219.0 requires boto3<2.0,>=1.33.3, but you have boto3 1.28.44 which is incompatible.\n",
+      "sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.2 which is incompatible.\n",
+      "sphinx 7.2.6 requires docutils<0.21,>=0.18.1, but you have docutils 0.16 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed charset-normalizer-2.1.1 requests-2.28.1 urllib3-1.26.19\n",
+      "Collecting python-docx==0.8.11\n",
+      "  Downloading python-docx-0.8.11.tar.gz (5.6 MB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.6/5.6 MB\u001b[0m \u001b[31m25.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25hRequirement already satisfied: lxml>=2.3.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from python-docx==0.8.11) (5.2.2)\n",
+      "Building wheels for collected packages: python-docx\n",
+      "  Building wheel for python-docx (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for python-docx: filename=python_docx-0.8.11-py3-none-any.whl size=184488 sha256=1beea9ffacd183f8637c48e55e4ecb5a01557173f2b87cf7bee13b186b97942e\n",
+      "  Stored in directory: /home/ec2-user/.cache/pip/wheels/80/27/06/837436d4c3bd989b957a91679966f207bfd71d358d63a8194d\n",
+      "Successfully built python-docx\n",
+      "Installing collected packages: python-docx\n",
+      "Successfully installed python-docx-0.8.11\n",
+      "Collecting langchain-community\n",
+      "  Downloading langchain_community-0.2.5-py3-none-any.whl.metadata (2.5 kB)\n",
+      "Requirement already satisfied: PyYAML>=5.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain-community) (6.0.1)\n",
+      "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain-community) (2.0.29)\n",
+      "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain-community) (3.9.3)\n",
+      "Requirement already satisfied: dataclasses-json<0.7,>=0.5.7 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain-community) (0.6.7)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting langchain<0.3.0,>=0.2.5 (from langchain-community)\n",
+      "  Downloading langchain-0.2.5-py3-none-any.whl.metadata (7.0 kB)\n",
+      "Requirement already satisfied: langchain-core<0.3.0,>=0.2.7 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain-community) (0.2.8)\n",
+      "Requirement already satisfied: langsmith<0.2.0,>=0.1.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from langchain-community) (0.1.79)\n",
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+      "\u001b[?25hInstalling collected packages: langchain, langchain-community\n",
+      "  Attempting uninstall: langchain\n",
+      "    Found existing installation: langchain 0.2.0\n",
+      "    Uninstalling langchain-0.2.0:\n",
+      "      Successfully uninstalled langchain-0.2.0\n",
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+      "Collecting gradio\n",
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+      "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25hCollecting gradio-client==1.0.1 (from gradio)\n",
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+     ]
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+     ]
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+      "Requirement already satisfied: mdurl~=0.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio) (0.1.2)\n",
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+      "\u001b[?25hDownloading websockets-11.0.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)\n",
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+      "\u001b[?25hDownloading httptools-0.6.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (341 kB)\n",
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+      "\u001b[?25hDownloading python_dotenv-1.0.1-py3-none-any.whl (19 kB)\n",
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+      "\u001b[?25hDownloading watchfiles-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m16.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m\n",
+      "\u001b[?25hBuilding wheels for collected packages: ffmpy\n",
+      "  Building wheel for ffmpy (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=0397b4aac7e8bc2cd10586f4161b48a2c33365d31a941eaaf05df08b9e661664\n",
+      "  Stored in directory: /home/ec2-user/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n",
+      "Successfully built ffmpy\n",
+      "Installing collected packages: pydub, ffmpy, websockets, uvloop, uvicorn, urllib3, tomlkit, shellingham, semantic-version, ruff, python-multipart, python-dotenv, httptools, dnspython, aiofiles, watchfiles, starlette, requests, email_validator, typer, huggingface-hub, gradio-client, fastapi-cli, fastapi, gradio\n",
+      "  Attempting uninstall: urllib3\n",
+      "    Found existing installation: urllib3 1.26.19\n",
+      "    Uninstalling urllib3-1.26.19:\n",
+      "      Successfully uninstalled urllib3-1.26.19\n",
+      "  Attempting uninstall: tomlkit\n",
+      "    Found existing installation: tomlkit 0.12.4\n",
+      "    Uninstalling tomlkit-0.12.4:\n",
+      "      Successfully uninstalled tomlkit-0.12.4\n",
+      "  Attempting uninstall: requests\n",
+      "    Found existing installation: requests 2.28.1\n",
+      "    Uninstalling requests-2.28.1:\n",
+      "      Successfully uninstalled requests-2.28.1\n",
+      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "botocore 1.31.85 requires urllib3<2.1,>=1.25.4; python_version >= \"3.10\", but you have urllib3 2.2.2 which is incompatible.\n",
+      "sagemaker 2.219.0 requires boto3<2.0,>=1.33.3, but you have boto3 1.28.44 which is incompatible.\n",
+      "sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.2 which is incompatible.\n",
+      "sphinx 7.2.6 requires docutils<0.21,>=0.18.1, but you have docutils 0.16 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed aiofiles-23.2.1 dnspython-2.6.1 email_validator-2.1.2 fastapi-0.111.0 fastapi-cli-0.0.4 ffmpy-0.3.2 gradio-4.36.1 gradio-client-1.0.1 httptools-0.6.1 huggingface-hub-0.23.4 pydub-0.25.1 python-dotenv-1.0.1 python-multipart-0.0.9 requests-2.32.3 ruff-0.4.9 semantic-version-2.10.0 shellingham-1.5.4 starlette-0.37.2 tomlkit-0.12.0 typer-0.12.3 urllib3-2.2.2 uvicorn-0.30.1 uvloop-0.19.0 watchfiles-0.22.0 websockets-11.0.3\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install boto3==1.28.44\n",
+    "!pip install docx==0.2.4\n",
+    "!pip install httpx[http2]==0.26.0\n",
+    "!pip install langchain==0.2.0\n",
+    "!pip install openai==1.30.1\n",
+    "!pip install pandas==2.2.2\n",
+    "!pip install pinecone-client==4.1.0\n",
+    "!pip install streamlit==1.32.2\n",
+    "!pip install requests==2.28.1\n",
+    "!pip install python-docx==0.8.11\n",
+    "!pip install langchain-community\n",
+    "!pip install gradio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "35eed6ac",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total number of document IDs: 9\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages/urllib3/connectionpool.py:1103: InsecureRequestWarning: Unverified HTTPS request is being made to host 'ktbot-fshno4r.svc.aped-4627-b74a.pinecone.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
+      "  \"https://urllib3.readthedocs.io/en/latest/advanced-usage.html\"\n",
+      "/home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages/urllib3/connectionpool.py:1103: InsecureRequestWarning: Unverified HTTPS request is being made to host 'api.nlp.dev.uptimize.merckgroup.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
+      "  \"https://urllib3.readthedocs.io/en/latest/advanced-usage.html\"\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'results': [], 'matches': [{'id': 'gtn/input/knowledge_base/AUTOMATED FORECASTING PROCESS 4.docx-1', 'score': 0.879279137, 'values': []}, {'id': 'gtn/input/knowledge_base/automated adjustments process 3.docx-7', 'score': 0.827985406, 'values': []}], 'namespace': '', 'usage': {'readUnits': 5}}\n",
+      "Question: What should be the S3 bucket for final Forecast dump exported from SAC?\n",
+      "Documents: ['Step:8:-  \\nExport the finalized forecast dump from SAP Analytics Cloud(SAC).', 'AUTOMATED ADJUSTMENTS PROCESS\\nStep:1:-  \\nLoad the final Forecast dump exported from SAC into S3 bucket with path S3://emd-forecast/gtn/output/SAC_forecast_dump\\nStep:2:-  \\nLoad business files into S3 bucket with path S3://emd-forecast/gtn/output/business_files\\nStep:3:-  \\nLoad Mapping template for all the families into S3 bucket with path S3://emd-forecast/gtn/output\\nStep:4:-  \\nRun Datacleaning.ipynb to convert the business files into readable and understandable format.\\nStep:5:-  \\nRun Units_gross_']\n",
+      "The S3 bucket for the final Forecast dump exported from SAC should be S3://emd-forecast/gtn/output/SAC_forecast_dump.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "from docx import Document\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
+    "from openai import AzureOpenAI\n",
+    "import httpx\n",
+    "import requests\n",
+    "import json\n",
+    "import openai\n",
+    "import pinecone\n",
+    "from langchain.document_loaders import DirectoryLoader\n",
+    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain.vectorstores import Pinecone\n",
+    "from langchain.llms import OpenAI\n",
+    "from langchain.chains.question_answering import load_qa_chain\n",
+    "import boto3\n",
+    "# Initialize a session using Amazon S3\n",
+    "s3 = boto3.client('s3')\n",
+    "import io\n",
+    "import pinecone\n",
+    "from pinecone import Pinecone, ServerlessSpec\n",
+    "import requests\n",
+    "from pinecone import Pinecone\n",
+    "httpx_client = httpx.Client(http2=True, verify='cacert.pem')\n",
+    "\n",
+    "# Initialize AzureOpenAI client with the HTTP client\n",
+    "client = AzureOpenAI(\n",
+    "    azure_endpoint=\"https://api.nlp.dev.uptimize.merckgroup.com\",\n",
+    "    api_key='c6140592-6c65-4261-a959-2e2ba099526d',\n",
+    "    api_version=\"2023-09-01-preview\",\n",
+    "    http_client=httpx_client\n",
+    ")\n",
+    "\n",
+    "# Initialize Pinecone client\n",
+    "pc = Pinecone(\n",
+    "    api_key=\"8f0e6749-4859-4eb8-a8cf-4e2e72cf4bc1\"\n",
+    ")\n",
+    "\n",
+    "# Connect to the index\n",
+    "index_name = \"ktbot\"\n",
+    "index = pc.Index(index_name)\n",
+    "\n",
+    "# Collect all document IDs with pagination\n",
+    "doc_ids = []\n",
+    "limit = 90  # Maximum number of vector IDs per request\n",
+    "next_token = None\n",
+    "\n",
+    "while True:\n",
+    "    response = index.list_paginated(namespace=None, limit=limit, pagination_token=next_token)\n",
+    "    \n",
+    "    # Collect IDs from the response\n",
+    "    doc_ids.extend([v.id for v in response.vectors])\n",
+    "    \n",
+    "    # Update the next_token for pagination\n",
+    "    next_token = response.next_page_token\n",
+    "    \n",
+    "    # Break the loop if there is no next token\n",
+    "    if not next_token:\n",
+    "        break\n",
+    "\n",
+    "\n",
+    "print(f\"Total number of document IDs: {len(doc_ids)}\")\n",
+    "\n",
+    "# Construct the API endpoint for fetching embeddings\n",
+    "base_url = \"https://ktbot-fshno4r.svc.aped-4627-b74a.pinecone.io\"\n",
+    "endpoint = \"/vectors/fetch\"\n",
+    "\n",
+    "# Prepare headers\n",
+    "api_key = \"8f0e6749-4859-4eb8-a8cf-4e2e72cf4bc1\"\n",
+    "headers = {\n",
+    "    \"Content-Type\": \"application/json\",\n",
+    "    \"Api-Key\": api_key\n",
+    "}\n",
+    "\n",
+    "# Dictionary to store the full text for each document chunk\n",
+    "doc_text_dict = {}\n",
+    "\n",
+    "# Function to fetch embedding for a given document ID\n",
+    "def fetch_metadata(doc_id):\n",
+    "    url = f\"{base_url}{endpoint}?ids={doc_id}\"\n",
+    "    try:\n",
+    "        # Send the GET request to fetch metadata\n",
+    "        response = requests.get(url, headers=headers)\n",
+    "        response.raise_for_status()  # Raise an exception for HTTP errors\n",
+    "\n",
+    "        # Check HTTP response status\n",
+    "        if response.status_code == 200:\n",
+    "            # Attempt to parse JSON response\n",
+    "            try:\n",
+    "                data = response.json()\n",
+    "                if \"vectors\" in data and doc_id in data[\"vectors\"]:\n",
+    "                    vector_data = data[\"vectors\"][doc_id]\n",
+    "                    return vector_data.get('metadata', {}).get('text', '')  # Return the text from metadata\n",
+    "                else:\n",
+    "                    print(f\"No metadata found for document ID: {doc_id}\")\n",
+    "                    return None\n",
+    "            except ValueError:\n",
+    "                print(\"Response is not valid JSON.\")\n",
+    "                print(\"Response content:\", response.text)\n",
+    "                return None\n",
+    "        else:\n",
+    "            print(f\"Failed to fetch metadata: {response.status_code} - {response.text}\")\n",
+    "            return None\n",
+    "\n",
+    "    except requests.exceptions.RequestException as e:\n",
+    "        print(f\"Error fetching document: {e}\")\n",
+    "        return None\n",
+    "\n",
+    "# Fetch metadata for all document IDs and populate the doc_text_dict\n",
+    "for doc_id in doc_ids:\n",
+    "    text = fetch_metadata(doc_id)\n",
+    "    if text:\n",
+    "        doc_text_dict[doc_id] = text\n",
+    "\n",
+    "\n",
+    "\n",
+    "# Preprocess the id to extract a consistent format\n",
+    "# Preprocess the id to extract a consistent format\n",
+    "def preprocess_id(id_str):\n",
+    "    if id_str.startswith(\"page_content=\"):\n",
+    "        return id_str.split(\"=\")[1].strip(\"'\")\n",
+    "    else:\n",
+    "        return id_str\n",
+    "\n",
+    "\n",
+    "\n",
+    "# Update the get_similar_docs function to preprocess the id before retrieval\n",
+    "def get_similar_docs(query, k=2, score=False):\n",
+    "    # Generate the embedding for the query\n",
+    "    query_embedding_response = client.embeddings.create(input=query, model=\"text-embedding-ada-002-v2\")\n",
+    "    query_embedding = query_embedding_response.data[0].embedding\n",
+    "    \n",
+    "    # Search the Pinecone index for similar documents\n",
+    "    query_payload = {\n",
+    "        \"top_k\": k,\n",
+    "        \"include_values\": score,\n",
+    "        \"vector\": query_embedding\n",
+    "    }\n",
+    "    query_endpoint = f\"{base_url}/query\"\n",
+    "    query_response = requests.post(query_endpoint, headers=headers, json=query_payload, verify=False)\n",
+    "    \n",
+    "    # Extract and return the similar documents\n",
+    "    if query_response.status_code == 200:\n",
+    "        search_results = query_response.json()\n",
+    "        print(search_results)\n",
+    "        similar_docs = [doc_text_dict[preprocess_id(match['id'])] for match in search_results['matches']]\n",
+    "        return similar_docs\n",
+    "    else:\n",
+    "        print(f\"Failed to retrieve similar documents: {query_response.status_code} - {query_response.reason}\")\n",
+    "        print(\"Response content:\", query_response.text)\n",
+    "        return []\n",
+    "\n",
+    "\n",
+    "def get_answer(query):\n",
+    "    similar_docs = get_similar_docs(query)\n",
+    "    combined_message = f\"Question: {query}\\nDocuments: {similar_docs}\"\n",
+    "    print(combined_message)\n",
+    "    openai_key = 'c6140592-6c65-4261-a959-2e2ba099526d'\n",
+    "    openai_url = \"https://api.nlp.dev.uptimize.merckgroup.com/openai/deployments/gpt-4-turbo/chat/completions?api-version=2023-09-01-preview\"\n",
+    "    headers = {\n",
+    "        \"Content-Type\": \"application/json\",\n",
+    "        \"x-api-key\": openai_key,\n",
+    "        \"region\": \"EU\"\n",
+    "    }\n",
+    "    \n",
+    "    payload = {\n",
+    "        \"model\": \"gpt-4-turbo\",\n",
+    "        \"messages\": [\n",
+    "            {\"role\": \"user\", \"content\": combined_message}\n",
+    "        ],\n",
+    "        \"max_tokens\": 1024,\n",
+    "        \"n\": 1,\n",
+    "        \"temperature\": 0\n",
+    "    }\n",
+    "\n",
+    "    try:\n",
+    "        response = requests.post(openai_url, headers=headers, data=json.dumps(payload), verify=False)\n",
+    "        response.raise_for_status()  # Raise an exception for HTTP errors\n",
+    "        ChatGPT_reply = response.json()[\"choices\"][0][\"message\"][\"content\"]\n",
+    "        return ChatGPT_reply\n",
+    "    except requests.exceptions.RequestException as e:\n",
+    "        print(\"ERROR\")\n",
+    "        print(e)\n",
+    "        raise Exception(f'Request failed: {e}')\n",
+    "\n",
+    "# Example usage:\n",
+    "query = \"What should be the S3 bucket for final Forecast dump exported from SAC?\"\n",
+    "answer = get_answer(query)\n",
+    "print(answer)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "27ed9037",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "Running on public URL: https://0e7b0972f54b527958.gradio.live\n",
+      "\n",
+      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"https://0e7b0972f54b527958.gradio.live\" 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": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Keyboard interruption in main thread... closing server.\n",
+      "Killing tunnel 127.0.0.1:7860 <> https://0e7b0972f54b527958.gradio.live\n"
+     ]
+    },
+    {
+     "ename": "TypeError",
+     "evalue": "EventListener._setup.<locals>.event_trigger() got an unexpected keyword argument '_js'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[75], line 49\u001b[0m\n\u001b[1;32m     47\u001b[0m \u001b[38;5;66;03m# Apply custom CSS using JavaScript\u001b[39;00m\n\u001b[1;32m     48\u001b[0m block\u001b[38;5;241m.\u001b[39mlaunch(debug\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, inbrowser\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,share\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m---> 49\u001b[0m \u001b[43mblock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_js\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\"\"\u001b[39;49m\n\u001b[1;32m     50\u001b[0m \u001b[38;5;124;43m    (function() \u001b[39;49m\u001b[38;5;124;43m{\u001b[39;49m\n\u001b[1;32m     51\u001b[0m \u001b[38;5;124;43m        var style = document.createElement(\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mstyle\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m);\u001b[39;49m\n\u001b[1;32m     52\u001b[0m \u001b[38;5;124;43m        style.innerHTML = `\u001b[39;49m\n\u001b[1;32m     53\u001b[0m \u001b[38;5;124;43m            #message-box textarea \u001b[39;49m\u001b[38;5;124;43m{\u001b[39;49m\n\u001b[1;32m     54\u001b[0m \u001b[38;5;124;43m                border: 1px solid black !important;\u001b[39;49m\n\u001b[1;32m     55\u001b[0m \u001b[38;5;124;43m            }\u001b[39;49m\n\u001b[1;32m     56\u001b[0m \u001b[38;5;124;43m        `;\u001b[39;49m\n\u001b[1;32m     57\u001b[0m \u001b[38;5;124;43m        document.head.appendChild(style);\u001b[39;49m\n\u001b[1;32m     58\u001b[0m \u001b[38;5;124;43m    })();\u001b[39;49m\n\u001b[1;32m     59\u001b[0m \u001b[38;5;124;43m\"\"\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "\u001b[0;31mTypeError\u001b[0m: EventListener._setup.<locals>.event_trigger() got an unexpected keyword argument '_js'"
+     ]
+    }
+   ],
+   "source": [
+    "import base64\n",
+    "import gradio as gr\n",
+    "bucket_name='emd-forecast'\n",
+    "file_key = 'gtn/input/logo_ktbot.PNG'\n",
+    "\n",
+    "# Download the file from S3\n",
+    "response = s3.get_object(Bucket=bucket_name, Key=file_key)\n",
+    "file_content = response['Body'].read()\n",
+    "\n",
+    "# Encode the file content in base64\n",
+    "png_base64 = base64.b64encode(file_content).decode('utf-8')\n",
+    "png_data_url = f\"data:image/png;base64,{png_base64}\"\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "def message_and_history(input, history):\n",
+    "    history = history or []\n",
+    "    s = list(sum(history, ()))\n",
+    "    s.append(input)\n",
+    "    inp = ' '.join(s)\n",
+    "    output = get_answer(inp)\n",
+    "    history.append((input, output))\n",
+    "    return history, history\n",
+    "\n",
+    "\n",
+    "block = gr.Blocks(theme=gr.themes.Soft())\n",
+    "\n",
+    "with block:\n",
+    "    with gr.Row():\n",
+    "        with gr.Column(scale=1, min_width=300):\n",
+    "            gr.Markdown(f\"\"\"\n",
+    "            <div style=\"display: flex; align-items: center; justify-content: center; height: calc(100% - 50px);\">\n",
+    "            <img src=\"{png_data_url}\" alt=\"Logo\" style=\"height: auto; max-height: 100%;\">\n",
+    "            </div>\n",
+    "\n",
+    "            \"\"\")\n",
+    "        with gr.Column(scale=2):\n",
+    "            chatbot = gr.Chatbot(label=\"KT Bot\")\n",
+    "            message = gr.Textbox(placeholder=\"Your KT bot, ask me anything...\",label=\"Query\")\n",
+    "            state = gr.State()\n",
+    "            submit = gr.Button(\"SEND\")\n",
+    "            submit.click(message_and_history,  \n",
+    "                 inputs=[message, state],  \n",
+    "                 outputs=[chatbot, state])\n",
+    "\n",
+    "# Apply custom CSS using JavaScript\n",
+    "block.launch(debug=True, inbrowser=True,share=True)\n",
+    "block.load(None, None, None, _js=\"\"\"\n",
+    "    (function() {\n",
+    "        var style = document.createElement('style');\n",
+    "        style.innerHTML = `\n",
+    "            #message-box textarea {\n",
+    "                border: 1px solid black !important;\n",
+    "            }\n",
+    "        `;\n",
+    "        document.head.appendChild(style);\n",
+    "    })();\n",
+    "\"\"\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "2ed00191",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: urllib3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (1.26.18)\n",
+      "Collecting urllib3\n",
+      "  Using cached urllib3-2.2.1-py3-none-any.whl.metadata (6.4 kB)\n",
+      "Requirement already satisfied: pyopenssl in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (24.0.0)\n",
+      "Collecting pyopenssl\n",
+      "  Downloading pyOpenSSL-24.1.0-py3-none-any.whl.metadata (12 kB)\n",
+      "Requirement already satisfied: cryptography<43,>=41.0.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from pyopenssl) (42.0.5)\n",
+      "Requirement already satisfied: cffi>=1.12 in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from cryptography<43,>=41.0.5->pyopenssl) (1.16.0)\n",
+      "Requirement already satisfied: pycparser in /home/ec2-user/anaconda3/envs/python3/lib/python3.10/site-packages (from cffi>=1.12->cryptography<43,>=41.0.5->pyopenssl) (2.21)\n",
+      "Using cached urllib3-2.2.1-py3-none-any.whl (121 kB)\n",
+      "Downloading pyOpenSSL-24.1.0-py3-none-any.whl (56 kB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.9/56.9 kB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: urllib3, pyopenssl\n",
+      "  Attempting uninstall: urllib3\n",
+      "    Found existing installation: urllib3 1.26.18\n",
+      "    Uninstalling urllib3-1.26.18:\n",
+      "      Successfully uninstalled urllib3-1.26.18\n",
+      "  Attempting uninstall: pyopenssl\n",
+      "    Found existing installation: pyOpenSSL 24.0.0\n",
+      "    Uninstalling pyOpenSSL-24.0.0:\n",
+      "      Successfully uninstalled pyOpenSSL-24.0.0\n",
+      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "botocore 1.31.85 requires urllib3<2.1,>=1.25.4; python_version >= \"3.10\", but you have urllib3 2.2.1 which is incompatible.\n",
+      "requests 2.28.1 requires urllib3<1.27,>=1.21.1, but you have urllib3 2.2.1 which is incompatible.\n",
+      "sagemaker 2.219.0 requires boto3<2.0,>=1.33.3, but you have boto3 1.28.44 which is incompatible.\n",
+      "sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.2 which is incompatible.\n",
+      "sphinx 7.2.6 requires docutils<0.21,>=0.18.1, but you have docutils 0.16 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed pyopenssl-24.1.0 urllib3-2.2.1\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install --upgrade urllib3 pyopenssl\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b80e67ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "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"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "0751314c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Need \u001b[32m'write'\u001b[0m access token to create a Spaces repo.\n",
+      "\n",
+      "    _|    _|  _|    _|    _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|_|_|_|    _|_|      _|_|_|  _|_|_|_|\n",
+      "    _|    _|  _|    _|  _|        _|          _|    _|_|    _|  _|            _|        _|    _|  _|        _|\n",
+      "    _|_|_|_|  _|    _|  _|  _|_|  _|  _|_|    _|    _|  _|  _|  _|  _|_|      _|_|_|    _|_|_|_|  _|        _|_|_|\n",
+      "    _|    _|  _|    _|  _|    _|  _|    _|    _|    _|    _|_|  _|    _|      _|        _|    _|  _|        _|\n",
+      "    _|    _|    _|_|      _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|        _|    _|    _|_|_|  _|_|_|_|\n",
+      "\n",
+      "    To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n",
+      "Enter your token (input will not be visible): \n",
+      "\u001b[31mAborted.\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "!gradio deploy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "870ba009",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Need \u001b[32m'write'\u001b[0m access token to create a Spaces repo.\r\n",
+      "\r\n",
+      "    _|    _|  _|    _|    _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|_|_|_|    _|_|      _|_|_|  _|_|_|_|\r\n",
+      "    _|    _|  _|    _|  _|        _|          _|    _|_|    _|  _|            _|        _|    _|  _|        _|\r\n",
+      "    _|_|_|_|  _|    _|  _|  _|_|  _|  _|_|    _|    _|  _|  _|  _|  _|_|      _|_|_|    _|_|_|_|  _|        _|_|_|\r\n",
+      "    _|    _|  _|    _|  _|    _|  _|    _|    _|    _|    _|_|  _|    _|      _|        _|    _|  _|        _|\r\n",
+      "    _|    _|    _|_|      _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|        _|    _|    _|_|_|  _|_|_|_|\r\n",
+      "\r\n",
+      "    A token is already saved on your machine. Run `huggingface-cli whoami` to get more information or `huggingface-cli logout` if you want to log out.\r\n",
+      "    Setting a new token will erase the existing one.\r\n",
+      "    To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\r\n",
+      "Enter your token (input will not be visible): "
+     ]
+    }
+   ],
+   "source": [
+    "!gradio deploy\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ec155eeb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "conda_python3",
+   "language": "python",
+   "name": "conda_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": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

README.md

@@ -1,12 +1,6 @@
 ---
-title: Knowledgebot
-emoji: 🏆
-colorFrom: pink
-colorTo: gray
+title: knowledgebot
+app_file: KTBOT.ipynb
 sdk: gradio
 sdk_version: 4.36.1
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference