Upload 11 files

app.py

@@ -0,0 +1,19 @@
+import time
+import gradio as gr
+from chatbot import submitUserMessage
+
+def chat(message:str, history):
+    return submitUserMessage(message)
+
+
+def slow_echo_chat(message, history):
+    answer = submitUserMessage(message)
+    for i in range(len(answer)):
+        time.sleep(0.01)
+        yield answer[: i+1]
+        
+        
+# gr.ChatInterface(chat).launch()
+interface = gr.ChatInterface(slow_echo_chat)
+
+interface.launch()

chatbot.ipynb

@@ -0,0 +1,169 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import utils\n",
+    "\n",
+    "utils.load_env()\n",
+    "os.environ['LANGCHAIN_TRACING_V2'] = \"true\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from typing import Annotated, Literal, TypedDict\n",
+    "\n",
+    "from langchain_core.messages import HumanMessage\n",
+    "\n",
+    "# for llm model\n",
+    "from langchain_anthropic import ChatAnthropic\n",
+    "from langchain_openai import ChatOpenAI\n",
+    "\n",
+    "from langchain_core.tools import tool\n",
+    "from langgraph.checkpoint.memory import MemorySaver\n",
+    "from langgraph.graph import END, StateGraph, MessagesState\n",
+    "from langgraph.prebuilt import ToolNode\n",
+    "import tools\n",
+    "\n",
+    "\n",
+    "tool_node = tools.tool_node\n",
+    "\n",
+    "# model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\", temperature=0).bind_tools(tools)\n",
+    "model = ChatOpenAI(model=\"gpt-4o-mini\")\n",
+    "\n",
+    "# Define the function that determines whether to continue or not\n",
+    "def should_continue(state: MessagesState) -> Literal[\"tools\", END]:\n",
+    "    messages = state['messages']\n",
+    "    last_message = messages[-1]\n",
+    "    # If the LLM makes a tool call, then we route to the \"tools\" node\n",
+    "    if last_message.tool_calls:\n",
+    "        return \"tools\"\n",
+    "    # Otherwise, we stop (reply to the user)\n",
+    "    return END\n",
+    "\n",
+    "\n",
+    "# Define the function that calls the model\n",
+    "def call_model(state: MessagesState):\n",
+    "    messages = state['messages']\n",
+    "    response = model.invoke(messages)\n",
+    "    # We return a list, because this will get added to the existing list\n",
+    "    return {\"messages\": [response]}\n",
+    "\n",
+    "\n",
+    "# Define a new graph\n",
+    "workflow = StateGraph(MessagesState)\n",
+    "\n",
+    "# Define the two nodes we will cycle between\n",
+    "workflow.add_node(\"agent\", call_model)\n",
+    "workflow.add_node(\"tools\", tool_node)\n",
+    "\n",
+    "# Set the entrypoint as `agent`\n",
+    "# This means that this node is the first one called\n",
+    "workflow.set_entry_point(\"agent\")\n",
+    "\n",
+    "# We now add a conditional edge\n",
+    "workflow.add_conditional_edges(\n",
+    "    # First, we define the start node. We use `agent`.\n",
+    "    # This means these are the edges taken after the `agent` node is called.\n",
+    "    \"agent\",\n",
+    "    # Next, we pass in the function that will determine which node is called next.\n",
+    "    should_continue,\n",
+    ")\n",
+    "\n",
+    "# We now add a normal edge from `tools` to `agent`.\n",
+    "# This means that after `tools` is called, `agent` node is called next.\n",
+    "workflow.add_edge(\"tools\", 'agent')\n",
+    "\n",
+    "# Initialize memory to persist state between graph runs\n",
+    "checkpointer = MemorySaver()\n",
+    "\n",
+    "# Finally, we compile it!\n",
+    "# This compiles it into a LangChain Runnable,\n",
+    "# meaning you can use it as you would any other runnable.\n",
+    "# Note that we're (optionally) passing the memory when compiling the graph\n",
+    "app = workflow.compile(checkpointer=checkpointer)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def submitUserMessage(message:str):\n",
+    "    final_state = app.invoke(\n",
+    "        {\"messages\": [HumanMessage(content=message)]},\n",
+    "        config={\"configurable\": {\"thread_id\": 42}}\n",
+    "    )\n",
+    "    return final_state[\"messages\"][-1].content"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Unable to load requested LangChainTracer. To disable this warning, unset the LANGCHAIN_TRACING_V2 environment variables.\n",
+      "LangSmithUserError('API key must be provided when using hosted LangSmith API')\n",
+      "Unable to load requested LangChainTracer. To disable this warning, unset the LANGCHAIN_TRACING_V2 environment variables.\n",
+      "LangSmithUserError('API key must be provided when using hosted LangSmith API')\n",
+      "Unable to load requested LangChainTracer. To disable this warning, unset the LANGCHAIN_TRACING_V2 environment variables.\n",
+      "LangSmithUserError('API key must be provided when using hosted LangSmith API')\n",
+      "Unable to load requested LangChainTracer. To disable this warning, unset the LANGCHAIN_TRACING_V2 environment variables.\n",
+      "LangSmithUserError('API key must be provided when using hosted LangSmith API')\n",
+      "Unable to load requested LangChainTracer. To disable this warning, unset the LANGCHAIN_TRACING_V2 environment variables.\n",
+      "LangSmithUserError('API key must be provided when using hosted LangSmith API')\n",
+      "Unable to load requested LangChainTracer. To disable this warning, unset the LANGCHAIN_TRACING_V2 environment variables.\n",
+      "LangSmithUserError('API key must be provided when using hosted LangSmith API')\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'บริเวณมาบุญครองในกรุงเทพฯ มีร้านกาแฟหลายแห่งที่น่าสนใจ คุณสามารถลองไปที่ร้านเหล่านี้ได้:\\n\\n1. **ร้านกาแฟโฟลว์ (Flow Coffee)** - ร้านกาแฟเล็กๆ ที่มีบรรยากาศสบาย เหมาะสำหรับนั่งทำงานหรือนั่งชิลล์\\n2. **ร้านกาแฟ On the Way** - ร้านกาแฟที่มีเมนูหลากหลายและบรรยากาศดี\\n3. **ร้านกาแฟชิค (Chic)** - ร้านกาแฟที่มีการตกแต่งน่ารักและเครื่องดื่มหลากหลาย\\n4. **ร้านกาแฟ Starbucks** - มีสาขาหลายแห่งในกรุงเทพฯ รวมถึงใกล้บริเวณมาบุญครอง\\n5. **ร้านกาแฟดอยช้าง** - ที่มีชื่อเสียงในเรื่องของกาแฟจากดอยช้าง\\n\\nคุณสามารถค้นหาร้านกาแฟเพิ่มเติมได้จาก Google Maps หรือแอปพลิเคชันค้นหาร้านอาหารต่างๆ เพื่อดูรีวิวและข้อมูลเพิ่มเติมเกี่ยวกับร้านกาแฟใกล้มาบุญครองได้ค่ะ'"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "submitUserMessage(\"ค้นหาร้านกาแฟใกล้มาบุญครอง\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

chatbot.py

@@ -0,0 +1,76 @@
+import os
+import utils
+
+utils.load_env()
+# os.environ['LANGCHAIN_TRACING_V2'] = "true"
+
+from typing import Literal
+from langchain_core.messages import HumanMessage
+from langchain_openai import ChatOpenAI
+from langgraph.checkpoint.memory import MemorySaver
+from langgraph.graph import END, StateGraph, MessagesState
+import tools
+
+# define tools node.
+tool_node = tools.tool_node
+
+# load models.
+model = ChatOpenAI(model="gpt-4o-mini")
+
+# Define the function that determines whether to continue or not
+def should_continue(state: MessagesState) -> Literal["tools", END]:
+    messages = state['messages']
+    last_message = messages[-1]
+    # If the LLM makes a tool call, then we route to the "tools" node
+    if last_message.tool_calls:
+        return "tools"
+    # Otherwise, we stop (reply to the user)
+    return END
+
+
+# Define the function that calls the model
+def call_model(state: MessagesState):
+    messages = state['messages']
+    response = model.invoke(messages)
+    # We return a list, because this will get added to the existing list
+    return {"messages": [response]}
+
+
+# Define a new graph
+workflow = StateGraph(MessagesState)
+
+# Define the two nodes we will cycle between
+workflow.add_node("agent", call_model)
+workflow.add_node("tools", tool_node)
+
+# Set the entrypoint as `agent`
+workflow.set_entry_point("agent")
+
+# We now add a conditional edge
+workflow.add_conditional_edges(
+    # First, we define the start node. We use `agent`.
+    # This means these are the edges taken after the `agent` node is called.
+    "agent",
+    # Next, we pass in the function that will determine which node is called next.
+    should_continue,
+)
+
+# We now add a normal edge from `tools` to `agent`.
+# This means that after `tools` is called, `agent` node is called next.
+workflow.add_edge("tools", 'agent')
+
+# Initialize memory to persist state between graph runs
+checkpointer = MemorySaver()
+
+# Finally, we compile it!
+# This compiles it into a LangChain Runnable,
+# meaning you can use it as you would any other runnable.
+# Note that we're (optionally) passing the memory when compiling the graph
+app = workflow.compile(checkpointer=checkpointer)
+
+def submitUserMessage(message:str):
+    final_state = app.invoke(
+        {"messages": [HumanMessage(content=message)]},
+        config={"configurable": {"thread_id": 42}}
+    )
+    return final_state["messages"][-1].content

gplace.ipynb

@@ -0,0 +1,726 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import requests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import utils\n",
+    "\n",
+    "utils.load_env()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:141: LangChainDeprecationWarning: The class `GooglePlacesTool` was deprecated in LangChain 0.0.33 and will be removed in 0.3.0. An updated version of the class exists in the langchain-google-community package and should be used instead. To use it run `pip install -U langchain-google-community` and import as `from langchain_google_community import GooglePlacesTool`.\n",
+      "  warn_deprecated(\n",
+      "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:141: LangChainDeprecationWarning: The class `GooglePlacesAPIWrapper` was deprecated in LangChain 0.0.33 and will be removed in 0.3.0. An updated version of the class exists in the langchain-google-community package and should be used instead. To use it run `pip install -U langchain-google-community` and import as `from langchain_google_community import GooglePlacesAPIWrapper`.\n",
+      "  warn_deprecated(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'1. Fashion Island\\nAddress: 587-589/7-9, Ram Inthra Rd, Khwaeng Khan Na Yao, Khet Khan Na Yao, Krung Thep Maha Nakhon 10230, Thailand\\nGoogle place ID: ChIJd57HEQRjHTERG_xSTcdQoYs\\nPhone: 02 947 5000\\nWebsite: http://www.fashionisland.co.th/\\n\\n\\n2. Food Island-Fashion Island\\nAddress: 5/5-6 หมู่ 5 Fashion Island, Ram Inthra Rd, Khwaeng Khan Na Yao, บางเขน Krung Thep Maha Nakhon 10220, Thailand\\nGoogle place ID: ChIJxVlvKA9jHTERAaDXThEk0sU\\nPhone: Unknown\\nWebsite: https://www.fashionisland.co.th/\\n\\n\\n3. Grand Station @ Fashion Island\\nAddress: Fashion Island Shopping Mall คันนายาว Khet Khan Na Yao, Krung Thep Maha Nakhon 10230, Thailand\\nGoogle place ID: ChIJgYJ0xNxjHTERqh7EMAXGflk\\nPhone: 02 947 5000\\nWebsite: https://www.fashionisland.co.th/about-us/grandstation/\\n\\n\\n4. Central Department Store Fashion Island\\nAddress: 591 Ram Inthra Rd, Khwaeng Khan Na Yao, Khet Khan Na Yao, Krung Thep Maha Nakhon 10230, Thailand\\nGoogle place ID: ChIJU51oO09jHTERkAkthlfrvMQ\\nPhone: 02 947 5320\\nWebsite: http://www.central.co.th/\\n\\n\\n5. Pomelo Fashion Island\\nAddress: Unit GSSH101, 1st Floor, Fashion Island Shopping Mall, 587-589, Ramindra Rd, แขวงคันนายาว เขตคันนายาว กรุงเทพมหานคร 10230, Thailand\\nGoogle place ID: ChIJaYz1YRFjHTERHcxGtqrypsk\\nPhone: 02 000 6811\\nWebsite: https://www.pomelofashion.com/\\n\\n\\n6. Fashion Island\\nAddress: 401 Newport Center Dr, Newport Beach, CA 92660, USA\\nGoogle place ID: ChIJUetYrofg3IARvxarZNginsY\\nPhone: (949) 721-2000\\nWebsite: https://www.fashionisland.com/?utm_source=soci&utm_medium=organic&utm_campaign=gmb_soci_listing\\n\\n\\n7. Haborland Fashion Island\\nAddress: ศูนย์การค้า แฟชั่นไอส์แลนด์ ชั้น3, Khwaeng Khan Na Yao, Khet Khan Na Yao, Krung Thep Maha Nakhon 10230, Thailand\\nGoogle place ID: ChIJ7wF25A5jHTERyBbgZ24hjGU\\nPhone: 065 848 1000\\nWebsite: https://harborlandgroup.com/\\n\\n\\n8. Panya Ramintra\\nAddress: Khan Na Yao, Bangkok 10230, Thailand\\nGoogle place ID: ChIJ9e97xwhjHTERR-MWDuKtUYY\\nPhone: Unknown\\nWebsite: Unknown\\n\\n\\n9. Manfair @Fashion Island, 2nd FL, Street 23, Grand Station, Unit MSE025\\nAddress: Manfair Store-Grand Station @Fashion Island Khwaeng Khan Na Yao, Khet Khan Na Yao, Krung Thep Maha Nakhon 10230, Thailand\\nGoogle place ID: ChIJod6zSApjHTERkZ8GxIKx-AY\\nPhone: 085 166 5561\\nWebsite: https://manfair.co.th/\\n\\n\\n10. ร้านชุดชั้นใน GIRLY SECRET @Fasion Island\\nAddress: GIRLY SECRET แฟชั่นไอส์แลนด์ ชั้น2 โซนแกรนด์เสตชั่น สตรีท 11 Lat Phrao Road Khwaeng Khan Na Yao, คันนายาว Krung Thep Maha Nakhon 10230, Thailand\\nGoogle place ID: ChIJMRAHkpKd4jARZBQhL3tzF28\\nPhone: 092 697 9698\\nWebsite: Unknown\\n\\n\\n11. OkurimonoJapan! (Fashion Island)\\nAddress: Level 2, Ram Inthra Rd, Khwaeng Khan Na Yao, Khet Khan Na Yao, Krung Thep Maha Nakhon 10230, Thailand\\nGoogle place ID: ChIJUTgHRlBjHTERw3I3e-uH7hI\\nPhone: 080 594 4644\\nWebsite: Unknown\\n\\n\\n12. Opposite Fashion Island\\nAddress: Khan Na Yao, Bangkok 10230, Thailand\\nGoogle place ID: ChIJV8YMrwhjHTERTd8eEupPwZY\\nPhone: Unknown\\nWebsite: Unknown\\n\\n'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from langchain_community.tools import GooglePlacesTool\n",
+    "\n",
+    "places = GooglePlacesTool()\n",
+    "places.run(\"fasion islands\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#find places id\n",
+    "#near by search"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'candidates': [{'formatted_address': '444 ถ. พญาไท แขวงวังใหม่ เขตปทุมวัน กรุงเทพมหานคร 10330 ไทย', 'geometry': {'location': {'lat': 13.744677, 'lng': 100.5295593}, 'viewport': {'northeast': {'lat': 13.74598387989272, 'lng': 100.5309299798927}, 'southwest': {'lat': 13.74328422010728, 'lng': 100.5282303201073}}}, 'name': 'เอ็ม บี เค เซ็นเตอร์', 'opening_hours': {'open_now': False}, 'rating': 4.3}], 'status': 'OK'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "def find_place_from_text(input_text, location=None, radius=10000):\n",
+    "    # Retrieve the API key from environment variables\n",
+    "    api_key = os.getenv('GPLACES_API_KEY')\n",
+    "\n",
+    "    if not api_key:\n",
+    "        raise ValueError(\"API key not found. Please set the GOOGLE_MAPS_API_KEY environment variable.\")\n",
+    "\n",
+    "    # Define the endpoint URL\n",
+    "    url = \"https://maps.googleapis.com/maps/api/place/findplacefromtext/json\"\n",
+    "\n",
+    "    # Define the parameters for the request\n",
+    "    params = {\n",
+    "        'fields': 'formatted_address,name,rating,opening_hours,geometry',\n",
+    "        'input': input_text,\n",
+    "        'inputtype': 'textquery',\n",
+    "        'key': api_key\n",
+    "    }\n",
+    "    \n",
+    "    params['locationbias'] = f'circle:{radius}@{location}' if location is not None and radius is not None else None\n",
+    "\n",
+    "    # Make the request to the Google Maps API\n",
+    "    response = requests.get(url, params=params)\n",
+    "\n",
+    "    # Check if the request was successful\n",
+    "    if response.status_code == 200:\n",
+    "        return response.json()  # Return the JSON response\n",
+    "    else:\n",
+    "        response.raise_for_status()  # Raise an exception for HTTP errors\n",
+    "\n",
+    "# Example usage:\n",
+    "location = \"15.87,100.9925\"  # Latitude and Longitude\n",
+    "input_text = \"มาบุญครอง\"\n",
+    "result = find_place_from_text(input_text, location)\n",
+    "\n",
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Coordinates: 13.744677,100.5295593\n"
+     ]
+    }
+   ],
+   "source": [
+    "def find_location(input_text:str, location:str=None, radius=10000):\n",
+    "    # Call the find_place_from_text function to get the location data\n",
+    "    data = find_place_from_text(input_text, location, radius)\n",
+    "\n",
+    "    # Extract the latitude and longitude from the response\n",
+    "    candidates = data.get('candidates', [])\n",
+    "    if len(candidates)==0:\n",
+    "        raise ValueError(\"No location found.\")\n",
+    "\n",
+    "    # Assuming we're taking the first candidate\n",
+    "    geometry = candidates[0].get('geometry', {})\n",
+    "    location = geometry.get('location', {})\n",
+    "\n",
+    "    latitude = location.get('lat')\n",
+    "    longitude = location.get('lng')\n",
+    "\n",
+    "    if latitude is None or longitude is None:\n",
+    "        raise ValueError(\"Latitude or Longitude not found in the response.\")\n",
+    "\n",
+    "    # Return the latitude and longitude as a formatted string\n",
+    "    return f\"{latitude},{longitude}\"\n",
+    "\n",
+    "\n",
+    "location = \"15.87,100.9925\"  # Latitude and Longitude\n",
+    "input_text = \"มาบุญครอง\"\n",
+    "coordinates = find_location(input_text, location)\n",
+    "print(f\"Coordinates: {coordinates}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7491743, 'lng': 100.5161575},\n",
+       "   'viewport': {'northeast': {'lat': 13.75056342989272,\n",
+       "     'lng': 100.5175915298927},\n",
+       "    'southwest': {'lat': 13.74786377010728, 'lng': 100.5148918701073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'White Flower',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 3024,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/112771822205386110836\">Natthapong Taweesook</a>'],\n",
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+       "  'vicinity': '262 ซ. จุฬาลงกรณ์ 50 Wang Mai, Pathum Wan'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7352442, 'lng': 100.5421743},\n",
+       "   'viewport': {'northeast': {'lat': 13.73655452989272,\n",
+       "     'lng': 100.5436026298927},\n",
+       "    'southwest': {'lat': 13.73385487010728, 'lng': 100.5409029701073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'Khrua Nai Baan',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 4032,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/100481796849900824855\">Daniel Sakariassen</a>'],\n",
+       "    'photo_reference': 'AelY_CudWjlIIrn7sYi0vjAlCBMBFA2jctZs7lPY6VPrur2IqGoYiPrs1GlW3aIjDXE01_kWQMcT5feI36FIveSlU3ieF-nJVjrohwkABMWchRd8srOc_SrVPVIdSFpW7AequqSqP3ZNXZx2rsb4HPcFwTY3UToi0WsKMo-6B7ouEKX2m_uD',\n",
+       "    'width': 3024}],\n",
+       "  'place_id': 'ChIJy-yYmtme4jARWdKwmvIB9Gc',\n",
+       "  'plus_code': {'compound_code': 'PGPR+3V Bangkok',\n",
+       "   'global_code': '7P52PGPR+3V'},\n",
+       "  'price_level': 2,\n",
+       "  'rating': 4.3,\n",
+       "  'reference': 'ChIJy-yYmtme4jARWdKwmvIB9Gc',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['meal_delivery',\n",
+       "   'meal_takeaway',\n",
+       "   'restaurant',\n",
+       "   'food',\n",
+       "   'point_of_interest',\n",
+       "   'establishment'],\n",
+       "  'user_ratings_total': 932,\n",
+       "  'vicinity': '90/2 ซอยหลังสวน ถนนเพลินจิต Lumphini, Pathum Wan'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7589595, 'lng': 100.5113613},\n",
+       "   'viewport': {'northeast': {'lat': 13.76031872989272,\n",
+       "     'lng': 100.5127062798927},\n",
+       "    'southwest': {'lat': 13.75761907010728, 'lng': 100.5100066201073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'Neua Tun Nang Loeng',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 3024,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/101204685801512010222\">A Google User</a>'],\n",
+       "    'photo_reference': 'AelY_Csbz9BJnMDSTKpGaYc2UvzhzdtxVsEuN9zPibqGNw2C2fEimD9LXx8c2-fVd_gZCMGpVu48ihL5XCgUSq9x-A1xkggIsrEXnAXxYFnDfBcrdDkgibnvo1064LfDzbB8kn9v3kiazhGDHsBADM5LGnQtE2jY1GqCDuwYQtsWuZyhQy4B',\n",
+       "    'width': 4032}],\n",
+       "  'place_id': 'ChIJ35IPmECZ4jARvr7OecVtBGM',\n",
+       "  'plus_code': {'compound_code': 'QG56+HG Bangkok',\n",
+       "   'global_code': '7P52QG56+HG'},\n",
+       "  'price_level': 1,\n",
+       "  'rating': 4.6,\n",
+       "  'reference': 'ChIJ35IPmECZ4jARvr7OecVtBGM',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['restaurant', 'food', 'point_of_interest', 'establishment'],\n",
+       "  'user_ratings_total': 890,\n",
+       "  'vicinity': '11 Soi Nakhon Sawan 2, Wat Sommanat, Pom Prap Sattru Phai'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7461102, 'lng': 100.5236554},\n",
+       "   'viewport': {'northeast': {'lat': 13.74746827989272,\n",
+       "     'lng': 100.5249552798927},\n",
+       "    'southwest': {'lat': 13.74476862010728, 'lng': 100.5222556201073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'Ming Phochana',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 2268,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/106198363291758062631\">Sukhum Truengtrachitkul</a>'],\n",
+       "    'photo_reference': 'AelY_CufYCHRj9dZvIuzw0tboFiI0XHrYEll0QykjNn8dWeEXJKbqFxHGQ5VKpP5U4aKp47YplK6aZS1zE_yImOIetDhhti2ChHZhfOZ69FRoaxF-8RbUtG_qxFxf4MZo3hlPRYUTwpHk7p_wKx-SNfTYKjlwf8ZAR4R8_mKAys8j8jGl5Td',\n",
+       "    'width': 4032}],\n",
+       "  'place_id': 'ChIJmd3lCSmZ4jARYoIvzwoxiho',\n",
+       "  'plus_code': {'compound_code': 'PGWF+CF Bangkok',\n",
+       "   'global_code': '7P52PGWF+CF'},\n",
+       "  'rating': 4.2,\n",
+       "  'reference': 'ChIJmd3lCSmZ4jARYoIvzwoxiho',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['restaurant', 'food', 'point_of_interest', 'establishment'],\n",
+       "  'user_ratings_total': 325,\n",
+       "  'vicinity': '683 ถนน บรรทัดทอง Wang Mai, Pathum Wan'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7610679, 'lng': 100.5374132},\n",
+       "   'viewport': {'northeast': {'lat': 13.76240467989272,\n",
+       "     'lng': 100.5387567298927},\n",
+       "    'southwest': {'lat': 13.75970502010728, 'lng': 100.5360570701073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'Northeastern Thai',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 3024,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/100883581885709245229\">Tatsuya Sonnyu</a>'],\n",
+       "    'photo_reference': 'AelY_Ct74WJjR8PUcoaAve9axKBMrRM-xEchZgV5SVxFnD06spQv_PNTun5eJIrX6wkBlgQNnjpn0T8fdanCmymXIklKzRBmqyABjIZqcjG-ojvBRxuS7De1741nfY8mO7JjHy9sImxJ_CSPBbPFwqagjUJ6iFZDESGi0kaAdyqXbrAuWLcB',\n",
+       "    'width': 4032}],\n",
+       "  'place_id': 'ChIJZ5XY5bae4jARUv0Ljrhk2ug',\n",
+       "  'plus_code': {'compound_code': 'QG6P+CX Bangkok',\n",
+       "   'global_code': '7P52QG6P+CX'},\n",
+       "  'price_level': 1,\n",
+       "  'rating': 3.9,\n",
+       "  'reference': 'ChIJZ5XY5bae4jARUv0Ljrhk2ug',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['restaurant', 'food', 'point_of_interest', 'establishment'],\n",
+       "  'user_ratings_total': 418,\n",
+       "  'vicinity': 'ซอย ราชวิถี 9 Ratchawithi Rd, Thanon Phaya Thai, Ratchathewi'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.749108, 'lng': 100.5411004},\n",
+       "   'viewport': {'northeast': {'lat': 13.75046297989272,\n",
+       "     'lng': 100.5424115298927},\n",
+       "    'southwest': {'lat': 13.74776332010728, 'lng': 100.5397118701073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'Jsuneetomyum',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 2704,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/117204015866668242289\">Colin Chow</a>'],\n",
+       "    'photo_reference': 'AelY_Cv9jauFO6pQIMlVhhs57GV9vzw8OolyYPFN2rgIkWJiUO9fILxTiUz8p9PowmrLvt8E3mDDaq3CO85H_ffBHWSy75SYaLWA8gFskKidajvrpnrV1l52-nxFQC9MVmN3Pi9JzNK0ZwRUZwa2Ej1zFXxUr7qErvlmgo9BVVWHQ2rO82N4',\n",
+       "    'width': 4056}],\n",
+       "  'place_id': 'ChIJP6dwhsWe4jARU7roepjvIqs',\n",
+       "  'plus_code': {'compound_code': 'PGXR+JC Bangkok',\n",
+       "   'global_code': '7P52PGXR+JC'},\n",
+       "  'price_level': 1,\n",
+       "  'rating': 4.4,\n",
+       "  'reference': 'ChIJP6dwhsWe4jARU7roepjvIqs',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['restaurant', 'food', 'point_of_interest', 'establishment'],\n",
+       "  'user_ratings_total': 358,\n",
+       "  'vicinity': '9 Ratchadamri Rd, Lumphini, Pathum Wan'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7417739, 'lng': 100.5491335},\n",
+       "   'viewport': {'northeast': {'lat': 13.74312892989272,\n",
+       "     'lng': 100.5504482798927},\n",
+       "    'southwest': {'lat': 13.74042927010728, 'lng': 100.5477486201073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'Breakfast Story Phloen Chit',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 3024,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/113103653740302511759\">A Google User</a>'],\n",
+       "    'photo_reference': 'AelY_Cv1teqBgEXWGqLIjb3G5utyeJsPrT0Q7DbbVH3aZ4jsAL9t6pcMr-H69pIL41rOh197j1nn6Kl0LHiFZapKTpmO90p_zRGGnaXuixnbInXBDvVnIvQYGcAoxMxpBLqBN3aYNugtD8qAJ3vdugNmEbMBdh9_Mh1gu8Yydg7STairdPFc',\n",
+       "    'width': 4032}],\n",
+       "  'place_id': 'ChIJF5udxZSf4jARicc-U9Mo4y0',\n",
+       "  'plus_code': {'compound_code': 'PGRX+PM Bangkok',\n",
+       "   'global_code': '7P52PGRX+PM'},\n",
+       "  'price_level': 2,\n",
+       "  'rating': 4.6,\n",
+       "  'reference': 'ChIJF5udxZSf4jARicc-U9Mo4y0',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['restaurant',\n",
+       "   'cafe',\n",
+       "   'store',\n",
+       "   'food',\n",
+       "   'point_of_interest',\n",
+       "   'establishment'],\n",
+       "  'user_ratings_total': 1295,\n",
+       "  'vicinity': '888, Mahatun Plaza, 3rd Floor (above Blue Cheri, 34-35 Phloen Chit Rd, Lumphini, Pathum Wan'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7562456, 'lng': 100.5298877},\n",
+       "   'viewport': {'northeast': {'lat': 13.75758012989272,\n",
+       "     'lng': 100.5311803298927},\n",
+       "    'southwest': {'lat': 13.75488047010728, 'lng': 100.5284806701073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'Pa Sa',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 3024,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/101031521481016420424\">A Google User</a>'],\n",
+       "    'photo_reference': 'AelY_CsGwvDh4wKxt4LNES80egluzjVer1Lz-CaLyfWPJF-1od9NacjWN18KU-syXwhlRFIUJTP-W__PRNLLUeX2LqBVEosnamzAIk3Giok-BxGpNspNEVWFH-NFlNFio4-LnLoLkDCk5bdWyRVuKV73zK_1J2oh2zGXI40Ap5HZbELIaU1p',\n",
+       "    'width': 3024}],\n",
+       "  'place_id': 'ChIJvTupReyf4jARinKvcO3aE-U',\n",
+       "  'plus_code': {'compound_code': 'QG4H+FW Bangkok',\n",
+       "   'global_code': '7P52QG4H+FW'},\n",
+       "  'rating': 4.9,\n",
+       "  'reference': 'ChIJvTupReyf4jARinKvcO3aE-U',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['restaurant', 'food', 'point_of_interest', 'establishment'],\n",
+       "  'user_ratings_total': 31,\n",
+       "  'vicinity': '268 Soi Phetchaburi 5, Thung Phaya Thai, Ratchathewi'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7458231, 'lng': 100.5396662},\n",
+       "   'viewport': {'northeast': {'lat': 13.74715152989272,\n",
+       "     'lng': 100.5410131298927},\n",
+       "    'southwest': {'lat': 13.74445187010728, 'lng': 100.5383134701073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'ร้านอาหาร ฮั่วเซ่งฮง เซ็นทรัลเวิลด์ Huasenghong',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 3024,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/113103653740302511759\">A Google User</a>'],\n",
+       "    'photo_reference': 'AelY_CuFQyEMHHndpPy2BzdJqQIrL7AaFpDEVRr_eMPa10OKfl8O8U3yv0QlgioUYsMbfSteESvyImipaWEEfUTSIfDyLuyqLrX57f2iZv4W0PyDtY3kW4TgXGROqiSXwwDYW1BsiQrRH505RgFIvb5bCWWSIk4gwNBIlU41SPzLzpGXIIAR',\n",
+       "    'width': 4032}],\n",
+       "  'place_id': 'ChIJbXxW6M-e4jARE0x7fKFvHb4',\n",
+       "  'plus_code': {'compound_code': 'PGWQ+8V Bangkok',\n",
+       "   'global_code': '7P52PGWQ+8V'},\n",
+       "  'price_level': 2,\n",
+       "  'rating': 4.6,\n",
+       "  'reference': 'ChIJbXxW6M-e4jARE0x7fKFvHb4',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['restaurant', 'food', 'point_of_interest', 'establishment'],\n",
+       "  'user_ratings_total': 1045,\n",
+       "  'vicinity': '4 Ratchadamri Rd, Pathum Wan'},\n",
+       " {'business_status': 'OPERATIONAL',\n",
+       "  'geometry': {'location': {'lat': 13.7292254, 'lng': 100.534336},\n",
+       "   'viewport': {'northeast': {'lat': 13.73059442989272,\n",
+       "     'lng': 100.5356763298927},\n",
+       "    'southwest': {'lat': 13.72789477010728, 'lng': 100.5329766701073}}},\n",
+       "  'icon': 'https://maps.gstatic.com/mapfiles/place_api/icons/v1/png_71/restaurant-71.png',\n",
+       "  'icon_background_color': '#FF9E67',\n",
+       "  'icon_mask_base_uri': 'https://maps.gstatic.com/mapfiles/place_api/icons/v2/restaurant_pinlet',\n",
+       "  'name': 'Shangarila Restaurant Thaniya',\n",
+       "  'opening_hours': {'open_now': True},\n",
+       "  'photos': [{'height': 3024,\n",
+       "    'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/104331204058144967486\">พิชญุตม์ โชติวรรณ</a>'],\n",
+       "    'photo_reference': 'AelY_CvT3RCsDG7ySTfNot6L3dJrTxaJtW-N7c3qSSTZSEmRYuHd-fS1bvySy0Ov3L7k6ATQc7I3wxDYYj6E5PxP8F8zhCxekNCEZ-oSy4PLqN6MKQMxkRQWnQBawLgj772M2XGB9g9PggVuBuu6Ws1HWAL0tX_Uud73An5fKKOEc2STFv26',\n",
+       "    'width': 4032}],\n",
+       "  'place_id': 'ChIJ2_m48Cuf4jARqVdR9So3yvA',\n",
+       "  'plus_code': {'compound_code': 'PGHM+MP Bangkok',\n",
+       "   'global_code': '7P52PGHM+MP'},\n",
+       "  'price_level': 3,\n",
+       "  'rating': 4.4,\n",
+       "  'reference': 'ChIJ2_m48Cuf4jARqVdR9So3yvA',\n",
+       "  'scope': 'GOOGLE',\n",
+       "  'types': ['restaurant', 'food', 'point_of_interest', 'establishment'],\n",
+       "  'user_ratings_total': 1982,\n",
+       "  'vicinity': '58/3-9 Si Lom Rd, Suriya Wong, Bang Rak'}]"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def nearby_search(keyword:str, location:str, radius=2000, place_type=None):\n",
+    "    # Retrieve the API key from environment variables\n",
+    "    api_key = os.getenv('GPLACES_API_KEY')\n",
+    "\n",
+    "    if not api_key:\n",
+    "        raise ValueError(\"API key not found. Please set the GOOGLE_MAPS_API_KEY environment variable.\")\n",
+    "\n",
+    "    # Define the endpoint URL\n",
+    "    url = \"https://maps.googleapis.com/maps/api/place/nearbysearch/json\"\n",
+    "\n",
+    "    # Set up the parameters for the request\n",
+    "    params = {\n",
+    "        'keyword': keyword,\n",
+    "        'location': location,\n",
+    "        'radius': radius,\n",
+    "        'type': place_type,\n",
+    "        'key': api_key,\n",
+    "    }\n",
+    "\n",
+    "    # Send the GET request to the Google Maps API\n",
+    "    response = requests.get(url, params=params)\n",
+    "\n",
+    "    # Check if the request was successful\n",
+    "    if response.status_code != 200:\n",
+    "        raise Exception(f\"Error with request: {response.status_code}, {response.text}\")\n",
+    "\n",
+    "    # Parse the JSON response\n",
+    "    data = response.json()\n",
+    "\n",
+    "    # Return the response data\n",
+    "    return data['results']\n",
+    "\n",
+    "\n",
+    "# Example usage\n",
+    "location = \"13.744677,100.5295593\"  # Latitude and Longitude\n",
+    "keyword = \"ร้านอาหาร\"\n",
+    "search_results = nearby_search(keyword, location)\n",
+    "search_results"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

gplace.py

@@ -0,0 +1,95 @@
+import os
+import requests
+import utils
+from langchain_core.tools import tool
+
+utils.load_env()
+
+
+def find_place_from_text(input_text, location=None, radius=2000):
+    "Finds a place based on text input and location bias."
+    # Retrieve the API key from environment variables
+    api_key = os.getenv('GPLACES_API_KEY')
+
+    if not api_key:
+        raise ValueError("API key not found. Please set the GOOGLE_MAPS_API_KEY environment variable.")
+
+    # Define the endpoint URL
+    url = "https://maps.googleapis.com/maps/api/place/findplacefromtext/json"
+
+    # Define the parameters for the request
+    params = {
+        'fields': 'formatted_address,name,rating,opening_hours,geometry',
+        'input': input_text,
+        'inputtype': 'textquery',
+        'key': api_key
+    }
+    
+    params['locationbias'] = f'circle:{radius}@{location}' if location is not None and radius is not None else None
+
+    # Make the request to the Google Maps API
+    response = requests.get(url, params=params)
+
+    # Check if the request was successful
+    if response.status_code == 200:
+        return response.json()  # Return the JSON response
+    else:
+        response.raise_for_status()  # Raise an exception for HTTP errors
+
+
+def find_location(input_text:str, location:str=None, radius=2000):
+    """Returns the latitude and longitude of a location based on text input."""
+    # Call the find_place_from_text function to get the location data
+    data = find_place_from_text(input_text, location, radius)
+
+    # Extract the latitude and longitude from the response
+    candidates = data.get('candidates', [])
+    if len(candidates)==0:
+        raise ValueError("No location found.")
+
+    # Assuming we're taking the first candidate
+    geometry = candidates[0].get('geometry', {})
+    location = geometry.get('location', {})
+
+    latitude = location.get('lat')
+    longitude = location.get('lng')
+
+    if latitude is None or longitude is None:
+        raise ValueError("Latitude or Longitude not found in the response.")
+
+    # Return the latitude and longitude as a formatted string
+    return f"{latitude},{longitude}"
+
+
+def nearby_search(keyword:str, location:str, radius=2000, place_type=None):
+    """Searches for nearby places based on a keyword and location."""
+    # Retrieve the API key from environment variables
+    api_key = os.getenv('GPLACES_API_KEY')
+
+    if not api_key:
+        raise ValueError("API key not found. Please set the GOOGLE_MAPS_API_KEY environment variable.")
+
+    # Define the endpoint URL
+    url = "https://maps.googleapis.com/maps/api/place/nearbysearch/json"
+
+    # Set up the parameters for the request
+    params = {
+        'keyword': keyword,
+        'location': location,
+        'radius': radius,
+        'type': place_type,
+        'key': api_key,
+    }
+
+    # Send the GET request to the Google Maps API
+    response = requests.get(url, params=params)
+
+    # Check if the request was successful
+    if response.status_code != 200:
+        raise Exception(f"Error with request: {response.status_code}, {response.text}")
+
+    # Parse the JSON response
+    data = response.json()
+
+    # Return the response data
+    return data['results']

prompt.txt

@@ -0,0 +1,10 @@
+{
+    "Agent1": {
+        "Prompt": "",
+        "Greet": ""
+    },
+    "Agent2": {
+        "Prompt": "",
+        "Greet": ""
+    }
+}

requirements.txt

@@ -0,0 +1,9 @@
+gradio
+langchain
+langchain-core
+langchain-community
+langchain-openai
+langchain-chroma
+langchain-text-splitters
+
+googlemaps

tools.ipynb

@@ -0,0 +1,46 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# gplace_tools.py\n",
+    "from gplace import find_place_from_text, find_location, nearby_search\n",
+    "from langgraph.prebuilt import ToolNode\n",
+    "from langchain_core.tools import tool\n",
+    "\n",
+    "find_place_from_text = tool(find_place_from_text)\n",
+    "find_location = tool(find_location)\n",
+    "nearby_search = tool(nearby_search)\n",
+    "\n",
+    "tools = [find_place_from_text, find_location, nearby_search]\n",
+    "\n",
+    "# Create ToolNodes for each tool\n",
+    "tool_node = ToolNode(tools)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

tools.py

@@ -0,0 +1,14 @@
+from gplace import find_place_from_text, find_location, nearby_search
+from langgraph.prebuilt import ToolNode
+from langchain_core.tools import tool
+
+find_place_from_text = tool(find_place_from_text)
+find_location = tool(find_location)
+nearby_search = tool(nearby_search)
+
+tools = [find_place_from_text, find_location, nearby_search]
+
+# Create ToolNodes for each tool
+tool_node = ToolNode(tools)
+
+

utils.py

@@ -0,0 +1,8 @@
+from dotenv import load_dotenv
+import os
+
+
+def load_env():
+    # Load environment variables from the .env file
+    load_dotenv("./API_keys.env")
+    # os.getenv('OPENAI_API_KEY')