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tar-main-content" data-post-id="10"> <div class="tve_lp_content tve_editor_main_content tve_empty_dropzone tve_content_width"> <div class="thrv_wrapper thrv-page-section tve_empty_dropzone tcb-window-width" data-tve-style="1" data-css="tve-u-167332325eb" style=""> <div class="tve-page-section-out" data-css="tve-u-167332325e7"></div> <div class="tve-page-section-in" data-css="tve-u-167332325f4"> <div class="thrv_wrapper thrv_text_element" data-tag="h1"> <h1 class="" data-css="tve-u-16a50670896" style="text-align: center;"><strong>Ollama api key. Either of these will work: $ OLLAMA_HOST=0.</strong></h1> </div> <br> </div> </div> </div> <div class="tve_lp_footer tve_empty_dropzone"> <div class="thrv_wrapper thrv_page_section" data-tve-style="1"> <div class="out" style="background-color: rgb(13, 23, 37);" data-tve-custom-colour="50153525"> <div class="in lightSec"> <div class="cck clearfix tve_empty_dropzone"> <div class="thrv_wrapper thrv_text_element"> <p class="tve_p_center" style="margin: 0pt; padding: 0pt; color: rgb(153, 153, 153); font-size: 17px;"><font color="#ffffff">Ollama api key. Start by downloading Ollama, and then pull a model such as Llama 2 or Mistral. api_key; Passing args to completion() Environment Feb 9, 2024 · ollama+DSPy using OpenAI APIs. yaml. Instead, use JWT authentication. BING: The Bing API endpoint for web searching. Then follow the instructions below. You signed out in another tab or window. Then select a model from the dropdown menu then wait for it to load. Either of these will work: $ OLLAMA_HOST=0. API (Ollama v0. yaml $ docker compose exec ollama ollama pull nomic-embed-text:latest OpenAI Embedding Model If you prefer to use OpenAI, please make sure you set a valid OpenAI API Key in Settings, and fill with one of the OpenAI embedding models listed below: LlamaParse. Run ollama help in the terminal to see available commands too. you set the Feb 8, 2024 · Ollama now has built-in compatibility with the OpenAI Chat Completions API, making it possible to use more tooling and applications with Ollama locally. ai. I have spent hours configuring CrewAi to work with Ollama / Mistral as a local LLM. LLM Oct 30, 2023 · Bug Description Nutshell : Llama index needs to use OpenAI API Key even when LLM is disabled and I want to simply do semantic search. Download Mistral model through Ollama CLI ChatOllama. options. Step 2: Download Model. LlamaParse is an API created by LlamaIndex to efficiently parse and represent files for efficient retrieval and context augmentation using LlamaIndex frameworks. Store the document chunks from the db 3 days ago · {“openai_api_key”: “OPENAI_API_KEY”} name: Optional [str] = None ¶ The name of the runnable. Start by downloading Ollama and pulling a model such as Llama 2 or Mistral: ollama pull llama2 Usage cURL Ollama. LiteLLM python SDK - Python Client to call 100+ LLMs, load balance, cost tracking. In the AutoGen Studio UI, each agent has an llm_config field where you can input your model endpoint details including model name, api key, base url, model type and api version. AutoGen standardizes on the openai model api format, and you can use any api server that offers an openai compliant endpoint. ollama_response = ollama. Make sure to replace <OPENAI_API_KEY_1> and <OPENAI_API_KEY_2> with your actual API keys. One-click copying any message as markdown. Select Generate API Key. To do so, head over to the Ollama website and install Ollama. But I think the question u/Denegocio is asking is about a scenario where an actual OpenAI LLM needs to be used, with a valid API Key, in the given langroid example (unless I misunderstood) -- this is in fact the default scenario in Langroid, i. Ollama allows you to run open-source large language models, such as Llama 2, locally. Initialize the Client: Set up the Ollama client with your API token Aug 19, 2023 · Following the readme on my Arch linux setup yields the following error: $ . In order to send ollama requests to POST /api/chat on your ollama server, set the model prefix to ollama_chat Jan 29, 2024 · Here’s an example of how you might use this library: # Importing the required library (ollama) import ollama. For example: ollama pull mistral; How to use Ollama. py (start GPT Pilot) . api_key; Passing args to completion() Environment 2 participants. stop (Optional[List[str]]) – kwargs (Any) – Returns. model='llama2' , About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright Related resources. chat. Community. Ollama sets itself up as a local server on port 11434. Building RAG from Scratch (Lower-Level) Next. A step-by-step guide on how to integrate Jan with Ollama. llama-index-program-openai. Install the relevant package for Ollama based on your OS. llm = Ollama ( model = "llama2") API Reference: Ollama. For Azure OpenAI models, you can find LiteLLM with Ollama. When I use it through an HTTP request on iOS it doesn’t recall its defined role. Ollama became OpenAI API compatible and all rejoicedwell everyone except LiteLLM! In this video, we'll see how this makes it easier to compare OpenAI and First, follow these instructions to set up and run a local Ollama instance: Then, make sure the Ollama server is running. By the end of this blog post, you will learn how to effectively utilize instructor with Ollama. I have custom models installed on my PC all with custom modelfiles with their roles defined in them. LlamaBot supports using local models through Ollama. This key feature eliminates the need to expose Ollama over LAN. Make it configurable through environment variables or add a new field in the Settings > Add-ons. 0) Client module for interacting with the Ollama API. Return type. {. The key is copied to your clipboard. import dspy. For installation and setup instructions, refer to the Qdrant documentation. Requests made to the '/ollama/api' route from the web UI are seamlessly redirected to Ollama from the backend, enhancing overall system security. For a complete list of supported models and model variants, see the Ollama model library. Model Name Function Call; mistral-embed: embedding(model="mistral/mistral-embed", input) Jan 4, 2024 · You signed in with another tab or window. If you want to use mistral or other models, you will need to replace codellama with the desired model. $ ollama serve. or just a basic API key, similar to how OpenAI uses authentication on their client. In VSCode and Select Ollama like a Provider. chat(model= 'mistral', messages=[. Reload to refresh your session. Dec 14, 2023 · mxyng commented on Dec 15, 2023. Monster API <> LLamaIndex AI21 LlamaCPP Nvidia Triton Perplexity LiteLLM Ollama - Llama 2 7B Neutrino AI Groq Langchain Interacting with LLM deployed in Amazon SageMaker Endpoint with LlamaIndex OpenAI Anthropic Gradient Base Model Ollama - Gemma Konko Together AI LLM Fireworks Function Calling Cookbook No repetitive login. To get started quickly, you can install with: pip install llama-index. Ollama; Ontotext GraphDB Get a SerpAPI api key and either set it as an environment variable (SERPAPI_API_KEY) Wrappers Utility There exists a SerpAPI utility Nov 28, 2023 · It first checks if the API key is provided as a parameter to the function. Model selection of OpenAI, Azure, Google, Claude 3, OpenRouter and local models powered by LM Studio and Ollama. The projects consists of 4 major parts: Building RAG Pipeline using Llamaindex. This guide provides information and resources to help you set up Meta Llama including how to access the model, hosting, how-to and integration guides. See this guide for more details on how to use Ollama with LangChain. env and sends the request # Example dummy function hard coded to return the same weather # In production, this could be your backend API or an external API def get_current_weather (location, unit = "fahrenheit"): """Get the current weather in Installing Both Ollama and Ollama Web UI Using Docker Compose. Key Changes: API Client Implementation 1 day ago · The config supports standard keys like ‘tags’, ‘metadata’ for tracing purposes, ‘max_concurrency’ for controlling how much work to do in parallel, and other keys. Each API key can be scoped to one of the following, Project keys - Provides access to a single project (preferred option); access Project API keys by selecting the specific Using ollama api/chat . LiteLLM is an open-source locally run proxy server that provides an OpenAI-compatible API. property output_schema: Type [BaseModel] ¶ The type of output this runnable produces specified as a pydantic model. When I run them through CLI, it works fine. llama-index-llms-openai. 👍 2. Make sure you update your ollama to the latest version! ollama pull llama2. 3c per additional page. Installation and Setup Follow these instructions to set up and run a local Ollama instance. * properties. To use, you should set up the environment variables ANYSCALE_API_BASE and ANYSCALE_API_KEY. Ollama + AutoGen instruction. View n8n's Advanced AI documentation. If it's still not found, it tries to get the API key from the openai module. GROQ: Your Groq API key for accessing Groq models. Apr 21, 2024 · Obtain an API key (opens in a new tab) by signing up for Mistral API access. 对于 LlamaParse. LLM type and model name: Ollama, Llama2 Model Name Function Call; mistral-embed: embedding(model="mistral/mistral-embed", input) All in one 的 OpenAI 接口,整合各种 API 访问方式,支持 Azure OpenAI API,也可作为 OpenAI API 代理使用,仅单可执行文件,已打包好 Docker 镜像,一键部署,开箱即用 - Ai-Yolo/One-Api Quickstart Installation from Pip. you can run the ollama from another terminal (or you can run it as a background process and then download your LLM using the ollama run llm_name) Thanks Ali jan. Jan 19, 2024 · Hey Ollama team, thx for all that you guys are doing. /app/config. $ export OLLAMA_HOST=0. environ ['OPENAI_API_KEY'] = "" # litellm reads OPENAI_API_KEY from . Here is the relevant code: You can create API keys at a user or service account level. You may also reset OLLAMA_HOST to the original value (as it will only receive connections from localhost once the proxy is set up). No usage cap for GPT-4 like ChatGPT Plus. Downloading a quantized LLM from hugging face and running it as a server using Ollama. You can use litellm through either: OpenAI proxy Server - Server to call 100+ LLMs, load balance, cost tracking across projects. OPENAI_API_KEYS: A list of API keys corresponding to the base URLs specified in OPENAI_API_BASE_URLS. py file: from sql_ollama import chain as sql Streaming responses. 🤯 Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Here are some models that I’ve used that I recommend for general purposes. Install the llm-mistral plugin for your local environment. Service accounts are tied to a "bot" individual and should be used to provision access for production systems. g. Setting API Keys, Base, Version. ) set model-specific params (max tokens, temperature, api base, prompt template) You can do set these just for that session (via cli), or persist these across restarts (via config file). py. I will also show how we can use Python to programmatically generate responses from Ollama. If not, it checks if the API key is set in the environment variable OPENAI_API_KEY. Retrieval-Augmented Image Captioning. To continue the conversation, you can pass this field back into the next request, into the context field. It interfaces with a large number of providers that do the inference. llms import Ollama. Try it out today! Ollama: The ChatOllama model should be installed and running locally. Question/Request: can you please demonstrate how we can deploy Ollama to a remote server -> I have using ssh but I cannot, for the life of me, figure out how to build it into an api I MISTRAL: Your Mistral API key for accessing Mistral models. Semi-structured Image Retrieval. Setup. View Source Ollama. GPT4-V Experiments with General, Specific questions and Chain Of Thought (COT) Prompting Technique. llama-index-core. In order to use Google PaLM models through Vertexai api, you need to have Option 1: Using local models with Ollama. Environment information. chat (. If you don't have Ollama installed yet, you can use the provided Docker Compose file for a hassle-free installation. 5 or gpt-4 in the . OpenAI` call. txt` file] Dec 17, 2023 · 🌟 Hi everyone! In this video, I'm thrilled to demonstrate the fascinating integration of Ol Lama with Lava, bringing multimodal capabilities right to your c save API keys ; set litellm params (e. 0. Currently available for free. Refer to Ollama's documentation for more information about the service. For installation instructions, refer to the Ollama documentation. If none of the above methods provide the API key, it defaults to an empty string. This command will install both Ollama and Ollama Web UI on your system. 🔗 External Ollama Server Connection : Seamlessly link to an external Ollama server hosted on a different address by configuring the environment variable. Hope this helps! Bug Report Description Bug Summary: open-webui doesn't detect ollama Steps to Reproduce: you install ollama and you check that it's running you install open-webui with docker: docker run -d -p 3000 Setup Ollama locally . Customize and create your own. import ollama stream = ollama. Aug 26, 2023 · This field contains the chat history for that particular request as a list of tokens (ints). The output of the runnable. OLLAMA: The Ollama API endpoint for accessing Local # set openai api key import os os. Oct 2, 2023 · export ALL_PROXY=<your proxy address and port>. env and sends the request # Example dummy function hard coded to return the same weather # In production, this could be your backend API or an external API def get_current_weather (location, unit = "fahrenheit"): """Get the current weather in # In the folder of docker-compose. If you want to add this to an existing project, you can just run: langchain app add sql-ollama. Option 2: Use an API provider OpenAI. Qdrant: The Qdrant vector database should be hosted on a local server and exposed on port 6333. As not all proxy servers support OpenAI's Function Calling (usable with AutoGen), LiteLLM How to use LiteLLM. It includes the request it self, the LLM's response, and the context passed into the request. str Install Ollama on Windows and start it before running docker compose up using ollama serve in a separate terminal. Usage. Usage You can see a full list of supported parameters on the API reference page. llama3; mistral; llama2; Ollama API If you want to integrate Ollama into your own projects, Ollama offers both its own API as well as an OpenAI Replace user1, key1, user2, and key2 with the desired username and API key for each user. API keys can't be accessed or recovered from Supply Chain. Feb 17, 2024 · The convenient console is nice, but I wanted to use the available API. # install DSPy: pip install dspy. Examples using ChatOllama¶ LangChain supports many other chat models. ollama_dspy. Ensure your local environment has internet access to communicate with the Mistral API servers. Feb 8, 2024 · Ollama now has built-in compatibility with the OpenAI Chat Completions API, making it possible to use more tooling and applications with Ollama locally. json; 3. This API is wrapped nicely in this library. It addresses the need for a flexible and extensible environment to work with advanced machine learning models, offering a range of functionalities from API interactions to 🔒 Backend Reverse Proxy Support: Bolster security through direct communication between Open WebUI backend and Ollama. # Setting up the model, enabling streaming responses, and defining the input messages. LlamaIndex provides thorough documentation of modules and integrations used in the framework. e. Connecting all components and exposing an API endpoint using FastApi. For a complete list of supported models and model variants, see the Ollama model On start-up, the default options can be configured with the OllamaChatClient(api, options) constructor or the spring. 2. Get started. 18. Converse with Advanced AI: Access and interact with 10+ leading AI platforms including OpenAI, Claude, Gemini, and more, all within one interface. Describe alternatives you've considered. Ollama管理本地开源大模型,用Open WebUI访问Ollama接口. Start by downloading Ollama and pulling a model such as Llama 2 or Mistral: ollama pull llama2 Usage cURL API Reference. drop unmapped params, set fallback models, etc. Setting up a local Qdrant instance using Docker. /ollama run llama2 Error: could not connect to ollama server, run 'ollama serve' to start it Steps to reproduce: git clone pip install -U langchain-cli. 现在开源大模型一个接一个的,而且各个都说自己的性能非常厉害,但是对于我们这些使用者,用起来就比较尴尬了。. # Ollam is now compatible with OpenAI APIs. Paid plan is free 7k pages per week + 0. LiteLLM by default checks if a model has a prompt template and applies it (e. #. Run Llama 3, Phi 3, Mistral, Gemma, and other models. yaml: Step 1: Save your prompt template in a config. 2. Jan 17, 2024 · Jan 17, 2024. Currently supporting all Ollama API endpoints except pushing models (/api/push), which is coming soon. API_ENDPOINTS. 3. We can do a quick curl command to check that the API is responding. Download ↓. To handle the inference, a popular open-source inference engine is Ollama. Import Ollama: Start by importing the Ollama library in your Python script: import ollama. Trust & Safety. Pull Request Summary: This pull request introduces the integration of the Ollama API into our AutoGen system. No need to buy ChatGPT Plus to use GPT-4. Paste API Key here, and click on Connect: 🔑 API Key Generation Support: Generate secret keys to leverage Open WebUI with OpenAI libraries, simplifying integration and development. Along with scrapping helpful info from Reddit. Description : When I try creating VectorStoreIndex from Postgres, it says I need OpenAI API Key always! Your API key; database settings: SQLite/PostgreSQL (to change from SQLite to PostgreSQL, just set DATABASE_TYPE=postgres) optionally set IGNORE_PATHS for the folders which shouldn't be tracked by GPT Pilot in workspace, useful to ignore folders created by compilers (i. Save the key in a secure place for later access. Since you're running ollama serve, you can set OLLAMA_HOST in the shell invoking that command. Multi-Modal LLM using Replicate LlaVa, Fuyu 8B, MiniGPT4 models for image reasoning. Pay only for what you use. LlaVa Demo with LlamaIndex. Raw. Jun 26, 2023 · The `/ollama` repository serves as a framework for setting up and running large language models (LLMs) such as Llama 2, Mistral, and Gemma, providing engineers with the tools to build and execute these models locally. You switched accounts on another tab or window. At run-time you can override the default options by adding new, request specific, options to the Prompt call. Documentation for the Ollama credentials. Ollama allows the users to run open-source large language models, such as Llama 2, locally. Assuming you have Ollama running on localhost, and that you have installed a model, use completion/2 or chat/2 interract with the model. ollama. yml (associating None for API_KEY otherwise it wouldn't work) i tried using it in terminal above as well as under the downloaded MetaGPT directory, however, both tries return errors i do not quite understand. Used for debugging and tracing. To view all pulled models, use ollama list; To chat directly with a model from the command line, use ollama run <name-of-model> View the Ollama documentation for more commands. Free plan is up to 1000 pages a day. Here is a non-streaming (that is, not interactive) REST call via Warp with a JSON style payload: 1. Leave the API Key field blank. Try Meta AI. After that, you can do: from langchain_community. But before we proceed, let's first explore the concept of patching. You can also use the ollama_proxy_add_user utility to add user and generate a key automatically: ollama_proxy_add_user --users_list [path to the authorized `authorized_users. llama-index-embeddings-openai. Download the Ollama model, In this example, we use OpenAI and Mistral. This is a quick walkthrough on CrewAI using Ollama, and LM Studio to avoid the costs with OpenAI keys. There are several ways to setup Ollama, the easiest way is to setup using docker but they support Linux and Mac installs and currently have a Windows preview as well! Check out Ollama and on Github for the complete info. 0 ollama serve. In order to run Ollama including Stable Diffusion models you must create a read-only HuggingFace API key. And add the following code to your server. LlamaParse directly integrates with LlamaIndex. It optimizes setup and configuration details, including GPU usage. Available for macOS, Linux, and Windows (preview) Get up and running with large language models. from openai import OpenAI from pydantic import BaseModel, Field from typing import List import instructor class Character(BaseModel): name: str age: int fact: List[str] = Field Yes when using the ollama endpoint, the API key is needed but ignored (this is more due to how the OpenAI Python client is defined). Save API Keys Ollama system prompt in modelfile not recognized via api key on iOS. stable. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ), Multi-Modals (Vision/TTS) and plugin system. Click Generate API Key. Oct 27, 2023 · You signed in with another tab or window. csv", config={"llm": llm}) Google Vertexai. Once you have an API key, you can use it to instantiate a Google PaLM object: from pandasai import SmartDataframe from pandasai. Install neccessary dependencies and requirements: Dec 28, 2023 · edited. Make the API endpoint url configurable so the user can connect other OpenAI-compatible APIs with the web-ui. Apr 21, 2024 · Then clicking on “models” on the left side of the modal, then pasting in a name of a model from the Ollama registry. 3. The codes showed on the Crew Ai github site and also on youtube do not work. No monthly fee. Use the navigation or search to find the classes you are interested in! Previous. I used the command below to set my API key: conda env config vars set OPENAI_API_KEY=value. IGNORE_PATHS=folder1,folder2,folder3) python main. Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile. Tried this but it is not open source and self-hostable. You can adapt this command to your own needs, and add even more endpoint/key pairs, but make sure to include May 12, 2023 · In the application header, click the User icon , and then select User Settings. Alternatively, Windows users can generate an OpenAI API key and configure the stack to use gpt-3. Use your own API key (stored locally). Open-source LLMS are gaining popularity, and with the release of Ollama's OpenAI compatibility layer, it has become possible to obtain structured outputs using JSON schema. If you have an OpenAI API key, then configure LlamaBot to use the API key by running: Launch LM Studio and go to the Server tab. Ollama. json located in the . env file. Ollama deserves a nice js wrapper. However, you can also set a custom prompt template on your proxy in the config. This is a starter bundle of packages, containing. Coa. Click Copy. Use these credentials to authenticate Ollama in n8n, a workflow automation platform. GOOGLE: The Google API endpoint for web searching. Below is an example of the default settings as of LM Studio 0. Simply run the following command: docker compose up -d --build. Streamline Your Workflow: Generate code, execute shell commands using natural language, and automate tasks with AI assistance. Response streaming can be enabled by setting stream=True, modifying function calls to return a Python generator where each part is an object in the stream. Crew Ai, in its current form is set to use OpenAi keys by default, no matter how you specify Ollama for Local LLM use. conda deactivate envName conda activate envName. LiteLLM allows you to specify the following: API Key; API Base; API Version; API Type; Project; Location; Token; Useful Helper functions: check_valid_key() get_valid_models() You can set the API configs using: Environment Variables; litellm variables litellm. The code below also contains some samples where we can use tools in terms of search (google or Duckduckgo) for research. First we'll need to import the LangChain x Anthropic package. A new API key is generated and displayed. Describe the solution you'd like. # set openai api key import os os. Get up and running with large language models. NETLIFY: Your Netlify API key for deploying and managing web projects. 19: Mar 23, 2024 · Local RAG Pipeline Architecture. To create a new LangChain project and install this as the only package, you can do: langchain app new my-app --package sql-ollama. Feb 17, 2024 · I am using a conda environment and was able to resolve the issue by setting my env variable and deactivating / reactivating my environment. Based on ollama api docs – commit Dec 1, 2023 · Yes. Please be aware that Ollama is running locally on your computer. Navigate to the Hub. Here, we’re using I'm using ollama for MetaGPT, after setting up the config2. Once it's loaded, click the green Start Server button and use the URL, port, and API key that's shown (you can modify them). if a huggingface model has a saved chat template in it's tokenizer_config. 1. This could involve adding it to your project dependencies in case of a programming project. json). 因为一个模型一个调用的方式,先得下载模型,下完模型,写加载代码,麻烦得很。. Basic Auth will probably not work with most API clients. # To get this to work you must include `model_type='chat'` in the `dspy. Be sure you are in the same Terminal then you can run the ollama using the following command: ollama serve. llm import GooglePalm llm = GooglePalm(api_key="my-google-cloud-api-key") df = SmartDataframe("data. Creation of API Key; Upon completion of generating an API Key you need to edit the config. Please refer to the RunnableConfig for more details. llama-index-legacy # temporarily included. Logging Observability - Log LLM Input/Output () LiteLLM exposes pre defined callbacks to send data to Lunary, Langfuse, Helicone, Promptlayer, Traceloop, Slack Apr 2, 2024 · Building Your First AI Application. Download models. Ollama is an awesome piece of llama software that allows running AI models locally and interacting with them via an API. The goal of this integration is to leverage Ollama's advanced AI capabilities to enhance our AutoGen's functionality, providing more accurate and context-aware content generation. 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</a> </iframe> <div class="tve_iframe_cover"></div> </div> </div> </div> </div> </div> </div> </div> <div class="tcb_flag" style="display: none;"></div> <span id="tho-end-content" style="display: block; visibility: hidden;"></span></div> <a href="javascript:void(0)" class="tve_p_lb_close" style="" data-css="tve-u-17306c0ab13" title="Close">x</a></div> </div> <div style="display: none;" id="tve_thrive_lightbox_12"> <div class="tve_p_lb_overlay" data-style="" style=""></div> <div class="tve_p_lb_content bSe cnt tcb-lp-lb" style="" data-css="tve-u-17da6e42eef"> <div class="tve_p_lb_inner" id="tve-p-scroller" style=""><article></article> <div id="tve_flt" class="tve_flt tcb-style-wrap"> <div id="tve_editor" class="tve_shortcode_editor tar-main-content" data-post-id="12"> <div class="thrv_wrapper thrv-columns" style=""> <div class="tcb-flex-row v-2 tcb--cols--2" data-css="tve-u-17da6e4d916" style=""> <div class="tcb-flex-col c-33"> <div class="tcb-col"> <div class="thrv_wrapper tve_image_caption" data-css="tve-u-17da6e4b51c"><span class="tve_image_frame"><a href=""><img decoding="async" class="tve_image wp-image-29" alt="" data-id="29" data-init-width="267" data-init-height="435" title="slider1" loading="lazy" src="" data-width="267" data-height="435" data-link-wrap="true" srcset=" 267w, 184w" sizes="(max-width: 267px) 100vw, 267px" height="435" width="267"></a></span></div> </div> </div> <div class="tcb-flex-col c-66" data-css="tve-u-17db5a38c01" style=""> <div class="tcb-col"> <div class="thrv_wrapper thrv_custom_html_shortcode"><iframe title="Embedded Wufoo Form" allowtransparency="true" style="border: medium none ; width: 100%;" src="" frameborder="0" height="1275" scrolling="no"> <a>Fill out my Wufoo form!</a> </iframe> <div class="tve_iframe_cover"></div> </div> </div> </div> </div> </div> </div> </div> <div class="tcb_flag" style="display: none;"></div> <span id="tho-end-content" style="display: block; visibility: hidden;"></span></div> <a href="javascript:void(0)" class="tve_p_lb_close" style="" data-css="tve-u-17da6e42ef5" title="Close">x</a></div> </div> </div> </div> </body> </html>
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