[Deployment] Setup fly.io deployment method and update docs (#1028)

Co-authored-by: sidmohanty11 <sidmohanty11@gmail.com>

docs/deployment/fly_io.mdx

@@ -0,0 +1,95 @@
+---
+title: 'Fly.io'
+description: 'Deploy your RAG application to fly.io platform'
+---
+
+Embedchain has a nice and simple abstraction on top of the [Fly.io](https://fly.io/) tools to let developers deploy RAG application to fly.io platform seamlessly. 
+
+Follow the instructions given below to deploy your first application quickly:
+
+
+## Step-1: Install flyctl command line
+
+<CodeGroup>
+```bash OSX
+brew install flyctl
+```
+
+```bash Linux
+curl -L https://fly.io/install.sh | sh
+```
+
+```bash Windows
+pwsh -Command "iwr https://fly.io/install.ps1 -useb | iex"
+```
+</CodeGroup>
+
+Once you have installed the fly.io cli tool, signup/login to their platform using the following command:
+
+<CodeGroup>
+```bash Sign up
+fly auth signup
+```
+
+```bash Sign in
+fly auth login
+```
+</CodeGroup>
+
+In case you run into issues, refer to official [fly.io docs](https://fly.io/docs/hands-on/install-flyctl/).
+
+## Step-2: Create RAG app
+
+We provide a command line utility called `ec` that inherits the template for `fly.io` platform and help you deploy the app. Follow the instructions to create a fly.io app using the template provided:
+
+```bash Create application
+mkdir my-rag-app
+ec create --template=fly.io
+```
+
+This will generate a directory structure like this:
+
+```bash
+├── Dockerfile
+├── app.py
+├── fly.toml
+├── .env
+├── .env.example
+└── requirements.txt
+```
+
+Feel free to edit the files as required.
+- `Dockerfile`: Defines the steps to setup the application
+- `app.py`: Contains FastAPI app code
+- `fly.toml`: fly.io config file
+- `.env`: Contains environment variables for production
+- `.env.example`: Contains dummy environment variables (can ignore this file)
+- `requirements.txt`: Contains python dependencies for your FastAPI application
+
+## Step-3: Test app locally
+
+You can run the app locally by simply doing:
+
+```bash Run locally
+pip install -r requirements.txt
+ec dev
+```
+
+## Step-4: Deploy to fly.io
+
+You can deploy to fly.io using the following command:
+```bash Deploy app
+ec deploy
+```
+
+Once this step finished, it will provide you with the deployment endpoint where you can access the app live. It will look something like this:
+
+You can also check the logs, monitor app status etc on their dashboard by running command `fly dashboard`.
+
+<img src="/images/fly_io.png" />
+
+## Seeking help?
+
+If you run into issues with deployment, please feel free to reach out to us via any of the following methods:
+
+<Snippet file="get-help.mdx" />

docs/get-started/deployment.mdx

@@ -1,11 +1,18 @@
 ---
-title: '🚀 Deployment'
-description: 'Deploy your embedchain RAG application to production'
+title: 'Overview'
+description: 'Deploy your RAG application to production'
 ---
 
-After successfully setting up and testing your Embedchain application locally, the next step is to deploy it to a hosting service to make it accessible to a wider audience. This section offers various options for hosting your app on the [Embedchain platform](https://app.embedchain.ai) or through [self-hosting options](#self-hosting).
+After successfully setting up and testing your RAG app locally, the next step is to deploy it to a hosting service to make it accessible to a wider audience. Embedchain provides integration with different cloud providers so that you can seamlessly deploy your RAG applications to production without having to worry about going through the cloud provider instructions. Embedchain does all the heavy lifting for you.
 
-## Option 1: Deploy on Embedchain Platform
+<CardGroup cols={4}>
+  <Card title="Fly.io" href="/deployment/fly_io"></Card>
+  <Card title="Modal.com" href="#"></Card>
+  <Card title="Embedchain Platform" href="#option-1-deploy-on-embedchain-platform"></Card>
+  <Card title="Self-hosting" href="#option-2-self-hosting"></Card>
+</CardGroup>
+
+## Deploy on Embedchain Platform
 
 Embedchain enables developers to deploy their LLM-powered apps in production using the [Embedchain platform](https://app.embedchain.ai). The platform offers free access to context on your data through its REST API. Once the pipeline is deployed, you can update your data sources anytime after deployment.
 
@@ -33,17 +40,17 @@ app.deploy()
 # ✅ Data of type: web_page, value: https://www.forbes.com/profile/elon-musk added successfully.
 ```
 
-## Option 2: Self-hosting
+## Self-hosting
 
 You can also deploy Embedchain as a self-hosted service using the dockerized REST API service that we provide. Please follow the [guide here](/examples/rest-api) on how to use the REST API service. Here are some tutorials on how to deploy a containerized application to different platforms like AWS, GCP, Azure etc:
 
+- [Fly.io](/deployment/fly_io)
+- [Render.com](https://render.com/docs/deploy-an-image)
+- [Huggingface Spaces](https://huggingface.co/new-space)
 - [AWS EKS](https://docs.aws.amazon.com/eks/latest/userguide/sample-deployment.html)
 - [AWS ECS](https://docs.aws.amazon.com/codecatalyst/latest/userguide/deploy-tut-ecs.html)
 - [Google GKE](https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app)
 - [Azure App Service](https://learn.microsoft.com/en-us/training/modules/deploy-run-container-app-service/)
-- [Fly.io](https://fly.io/docs/languages-and-frameworks/python/)
-- [Render.com](https://render.com/docs/deploy-an-image)
-- [Huggingface Spaces](https://huggingface.co/new-space)
 
 
 ## Seeking help?

docs/mint.json

@@ -72,7 +72,6 @@
       "pages": [
         "get-started/introduction",
         "get-started/quickstart",
-        "get-started/deployment",
         {
         "group": "🔗 Integrations",
           "pages": [
@@ -84,6 +83,13 @@
         "get-started/faq"
       ]
     },
+    {
+      "group": "Deployment",
+      "pages": [
+        "get-started/deployment",
+        "deployment/fly_io"
+      ]
+    },
     {
       "group": "Use cases",
       "pages": [

embedchain/cli.py

@@ -0,0 +1,215 @@
+import json
+import os
+import re
+import shutil
+import subprocess
+
+import click
+import pkg_resources
+from rich.console import Console
+
+console = Console()
+
+
+@click.group()
+def cli():
+    pass
+
+
+def setup_fly_io_app(extra_args):
+    fly_launch_command = ["fly", "launch", "--region", "sjc", "--no-deploy"] + list(extra_args)
+    try:
+        console.print(f"🚀 [bold cyan]Running: {' '.join(fly_launch_command)}[/bold cyan]")
+        subprocess.run(fly_launch_command, check=True)
+        console.print("✅ [bold green]'fly launch' executed successfully.[/bold green]")
+    except subprocess.CalledProcessError as e:
+        console.print(f"❌ [bold red]An error occurred: {e}[/bold red]")
+    except FileNotFoundError:
+        console.print(
+            "❌ [bold red]'fly' command not found. Please ensure Fly CLI is installed and in your PATH.[/bold red]"
+        )
+
+
+def setup_modal_com_app(extra_args):
+    modal_setup_file = os.path.join(os.path.expanduser("~"), ".modal.toml")
+    if os.path.exists(modal_setup_file):
+        console.print(
+            """✅ [bold green]Modal setup already done. You can now install the dependencies by doing \n
+            `pip install -r requirements.txt`[/bold green]"""
+        )
+        return
+    modal_setup_cmd = ["modal", "setup"] + list(extra_args)
+    console.print(f"🚀 [bold cyan]Running: {' '.join(modal_setup_cmd)}[/bold cyan]")
+    subprocess.run(modal_setup_cmd, check=True)
+    shutil.move(".env.example", ".env")
+    console.print("Great! Now you can install the dependencies by doing `pip install -r requirements.txt`")
+
+
+@cli.command()
+@click.option("--template", default="fly.io", help="The template to use.")
+@click.argument("extra_args", nargs=-1, type=click.UNPROCESSED)
+def create(template, extra_args):
+    try:
+        # Determine the installation location of the embedchain package
+        package_path = pkg_resources.resource_filename("embedchain", "")
+    except ImportError:
+        console.print("❌ [bold red]Failed to locate the 'embedchain' package. Is it installed?[/bold red]")
+        return
+
+    # Construct the source path from the embedchain package
+    src_path = os.path.join(package_path, "deployment", template)
+
+    if not os.path.exists(src_path):
+        console.print(f"❌ [bold red]Template '{template}' not found.[/bold red]")
+        return
+
+    shutil.copytree(src_path, os.getcwd(), dirs_exist_ok=True)
+    env_sample_path = os.path.join(src_path, ".env.example")
+    if os.path.exists(env_sample_path):
+        shutil.copy(env_sample_path, os.path.join(os.getcwd(), ".env"))
+    console.print(f"✅ [bold green]Successfully created app from template '{template}'.[/bold green]")
+
+    if template == "fly.io":
+        setup_fly_io_app(extra_args)
+    elif template == "modal.com":
+        setup_modal_com_app(extra_args)
+    else:
+        raise ValueError(f"Unknown template '{template}'.")
+
+    embedchain_config = {"provider": template}
+    with open("embedchain.json", "w") as file:
+        json.dump(embedchain_config, file, indent=4)
+        console.print(
+            f"🎉 [green]All done! Successfully created `embedchain.json` with '{template}' as provider.[/green]"
+        )
+
+
+def run_dev_fly_io(debug, host, port):
+    uvicorn_command = ["uvicorn", "app:app"]
+
+    if debug:
+        uvicorn_command.append("--reload")
+
+    uvicorn_command.extend(["--host", host, "--port", str(port)])
+
+    try:
+        console.print(f"🚀 [bold cyan]Running FastAPI app with command: {' '.join(uvicorn_command)}[/bold cyan]")
+        subprocess.run(uvicorn_command, check=True)
+    except subprocess.CalledProcessError as e:
+        console.print(f"❌ [bold red]An error occurred: {e}[/bold red]")
+    except KeyboardInterrupt:
+        console.print("\n🛑 [bold yellow]FastAPI server stopped[/bold yellow]")
+
+
+def run_dev_modal_com():
+    modal_run_cmd = ["modal", "serve", "app"]
+    try:
+        console.print(f"🚀 [bold cyan]Running FastAPI app with command: {' '.join(modal_run_cmd)}[/bold cyan]")
+        subprocess.run(modal_run_cmd, check=True)
+    except subprocess.CalledProcessError as e:
+        console.print(f"❌ [bold red]An error occurred: {e}[/bold red]")
+    except KeyboardInterrupt:
+        console.print("\n🛑 [bold yellow]FastAPI server stopped[/bold yellow]")
+
+
+@cli.command()
+@click.option("--debug", is_flag=True, help="Enable or disable debug mode.")
+@click.option("--host", default="127.0.0.1", help="The host address to run the FastAPI app on.")
+@click.option("--port", default=8000, help="The port to run the FastAPI app on.")
+def dev(debug, host, port):
+    template = ""
+    with open("embedchain.json", "r") as file:
+        embedchain_config = json.load(file)
+        template = embedchain_config["provider"]
+
+    if template == "fly.io":
+        run_dev_fly_io(debug, host, port)
+    elif template == "modal.com":
+        run_dev_modal_com()
+    else:
+        raise ValueError(f"Unknown template '{template}'.")
+
+
+def read_env_file(env_file_path):
+    """
+    Reads an environment file and returns a dictionary of key-value pairs.
+
+    Args:
+    env_file_path (str): The path to the .env file.
+
+    Returns:
+    dict: Dictionary of environment variables.
+    """
+    env_vars = {}
+    with open(env_file_path, "r") as file:
+        for line in file:
+            # Ignore comments and empty lines
+            if line.strip() and not line.strip().startswith("#"):
+                # Assume each line is in the format KEY=VALUE
+                key_value_match = re.match(r"(\w+)=(.*)", line.strip())
+                if key_value_match:
+                    key, value = key_value_match.groups()
+                    env_vars[key] = value
+    return env_vars
+
+
+def deploy_fly():
+    app_name = ""
+    with open("fly.toml", "r") as file:
+        for line in file:
+            if line.strip().startswith("app ="):
+                app_name = line.split("=")[1].strip().strip('"')
+
+    if not app_name:
+        console.print("❌ [bold red]App name not found in fly.toml[/bold red]")
+        return
+
+    env_vars = read_env_file(".env")
+    secrets_command = ["flyctl", "secrets", "set", "-a", app_name] + [f"{k}={v}" for k, v in env_vars.items()]
+
+    deploy_command = ["fly", "deploy"]
+    try:
+        # Set secrets
+        console.print(f"🔐 [bold cyan]Setting secrets for {app_name}[/bold cyan]")
+        subprocess.run(secrets_command, check=True)
+
+        # Deploy application
+        console.print(f"🚀 [bold cyan]Running: {' '.join(deploy_command)}[/bold cyan]")
+        subprocess.run(deploy_command, check=True)
+        console.print("✅ [bold green]'fly deploy' executed successfully.[/bold green]")
+
+    except subprocess.CalledProcessError as e:
+        console.print(f"❌ [bold red]An error occurred: {e}[/bold red]")
+    except FileNotFoundError:
+        console.print(
+            "❌ [bold red]'fly' command not found. Please ensure Fly CLI is installed and in your PATH.[/bold red]"
+        )
+
+
+def deploy_modal():
+    modal_deploy_cmd = ["modal", "deploy", "app"]
+    try:
+        console.print(f"🚀 [bold cyan]Running: {' '.join(modal_deploy_cmd)}[/bold cyan]")
+        subprocess.run(modal_deploy_cmd, check=True)
+        console.print("✅ [bold green]'modal deploy' executed successfully.[/bold green]")
+    except subprocess.CalledProcessError as e:
+        console.print(f"❌ [bold red]An error occurred: {e}[/bold red]")
+    except FileNotFoundError:
+        console.print(
+            "❌ [bold red]'modal' command not found. Please ensure Modal CLI is installed and in your PATH.[/bold red]"
+        )
+
+
+@cli.command()
+def deploy():
+    # Check for platform-specific files
+    template = ""
+    with open("embedchain.json", "r") as file:
+        embedchain_config = json.load(file)
+        template = embedchain_config["provider"]
+    if template == "fly.io":
+        deploy_fly()
+    elif template == "modal.com":
+        deploy_modal()
+    else:
+        console.print("❌ [bold red]No recognized deployment platform found.[/bold red]")

embedchain/deployment/fly.io/.dockerignore

@@ -0,0 +1 @@
+db/

embedchain/deployment/fly.io/.env.example

@@ -0,0 +1 @@
+OPENAI_API_KEY=sk-xxx

embedchain/deployment/fly.io/Dockerfile

@@ -0,0 +1,13 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+COPY requirements.txt /app/
+
+RUN pip install -r requirements.txt
+
+COPY . /app
+
+EXPOSE 8080
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8080"]

embedchain/deployment/fly.io/app.py

@@ -0,0 +1,53 @@
+from fastapi import FastAPI, responses
+from pydantic import BaseModel
+
+from embedchain import Pipeline
+
+app = FastAPI(title="Embedchain FastAPI App")
+embedchain_app = Pipeline()
+
+
+class SourceModel(BaseModel):
+    source: str
+
+
+class QuestionModel(BaseModel):
+    question: str
+
+
+@app.post("/add")
+async def add_source(source_model: SourceModel):
+    """
+    Adds a new source to the EmbedChain app.
+    Expects a JSON with a "source" key.
+    """
+    source = source_model.source
+    embedchain_app.add(source)
+    return {"message": f"Source '{source}' added successfully."}
+
+
+@app.post("/query")
+async def handle_query(question_model: QuestionModel):
+    """
+    Handles a query to the EmbedChain app.
+    Expects a JSON with a "question" key.
+    """
+    question = question_model.question
+    answer = embedchain_app.query(question)
+    return {"answer": answer}
+
+
+@app.post("/chat")
+async def handle_chat(question_model: QuestionModel):
+    """
+    Handles a chat request to the EmbedChain app.
+    Expects a JSON with a "question" key.
+    """
+    question = question_model.question
+    response = embedchain_app.chat(question)
+    return {"response": response}
+
+
+@app.get("/")
+async def root():
+    return responses.RedirectResponse(url="/docs")

embedchain/deployment/fly.io/requirements.txt

@@ -0,0 +1,4 @@
+fastapi==0.104.0
+uvicorn==0.23.2
+embedchain==0.1.34
+beautifulsoup4

embedchain/deployment/modal.com/.env.example

@@ -0,0 +1 @@
+OPENAI_API_KEY=

embedchain/deployment/modal.com/.gitignore

@@ -0,0 +1 @@
+.env

embedchain/deployment/modal.com/app.py

@@ -0,0 +1,75 @@
+from dotenv import load_dotenv
+from fastapi import Body, FastAPI, responses
+from modal import Image, Secret, Stub, asgi_app
+
+from embedchain import Pipeline
+
+load_dotenv(".env")
+
+image = Image.debian_slim().pip_install(
+    "embedchain",
+    "embedchain[dataloaders]",
+)
+
+stub = Stub(
+    name="embedchain-app",
+    image=image,
+    secrets=[Secret.from_dotenv(".env")],
+)
+
+web_app = FastAPI()
+embedchain_app = Pipeline(name="embedchain-modal-app")
+
+
+@web_app.post("/add")
+async def add(
+    source: str = Body(..., description="Source to be added"),
+    data_type: str | None = Body(None, description="Type of the data source"),
+):
+    """
+    Adds a new source to the EmbedChain app.
+    Expects a JSON with a "source" and "data_type" key.
+    "data_type" is optional.
+    """
+    if source and data_type:
+        embedchain_app.add(source, data_type)
+    elif source:
+        embedchain_app.add(source)
+    else:
+        return {"message": "No source provided."}
+    return {"message": f"Source '{source}' added successfully."}
+
+
+@web_app.post("/query")
+async def query(question: str = Body(..., description="Question to be answered")):
+    """
+    Handles a query to the EmbedChain app.
+    Expects a JSON with a "question" key.
+    """
+    if not question:
+        return {"message": "No question provided."}
+    answer = embedchain_app.query(question)
+    return {"answer": answer}
+
+
+@web_app.get("/chat")
+async def chat(question: str = Body(..., description="Question to be answered")):
+    """
+    Handles a chat request to the EmbedChain app.
+    Expects a JSON with a "question" key.
+    """
+    if not question:
+        return {"message": "No question provided."}
+    response = embedchain_app.chat(question)
+    return {"response": response}
+
+
+@web_app.get("/")
+async def root():
+    return responses.RedirectResponse(url="/docs")
+
+
+@stub.function(image=image)
+@asgi_app()
+def fastapi_app():
+    return web_app

embedchain/deployment/modal.com/requirements.txt

@@ -0,0 +1,4 @@
+modal==0.56.4329
+fastapi==0.104.0
+uvicorn==0.23.2
+embedchain==0.1.34

embedchain/deployment/render.com/app.py

@@ -0,0 +1,58 @@
+import logging
+import os
+
+from flask import Flask, jsonify, request
+
+from embedchain import Pipeline as App
+
+app = Flask(__name__)
+
+os.environ["OPENAI_API_KEY"] = "sk-xxx"
+
+
+@app.route("/add", methods=["POST"])
+def add():
+    data = request.get_json()
+    data_type = data.get("data_type")
+    url_or_text = data.get("url_or_text")
+    if data_type and url_or_text:
+        try:
+            App().add(url_or_text, data_type=data_type)
+            return jsonify({"data": f"Added {data_type}: {url_or_text}"}), 200
+        except Exception:
+            logging.exception(f"Failed to add {data_type=}: {url_or_text=}")
+            return jsonify({"error": f"Failed to add {data_type}: {url_or_text}"}), 500
+    return jsonify({"error": "Invalid request. Please provide 'data_type' and 'url_or_text' in JSON format."}), 400
+
+
+@app.route("/query", methods=["POST"])
+def query():
+    data = request.get_json()
+    question = data.get("question")
+    if question:
+        try:
+            response = App().query(question)
+            return jsonify({"data": response}), 200
+        except Exception:
+            logging.exception(f"Failed to query {question=}")
+            return jsonify({"error": "An error occurred. Please try again!"}), 500
+    return jsonify({"error": "Invalid request. Please provide 'question' in JSON format."}), 400
+
+
+@app.route("/chat", methods=["POST"])
+def chat():
+    data = request.get_json()
+    question = data.get("question")
+    if question:
+        try:
+            response = App().chat(question)
+            return jsonify({"data": response}), 200
+        except Exception:
+            logging.exception(f"Failed to chat {question=}")
+            return jsonify({"error": "An error occurred. Please try again!"}), 500
+    return jsonify({"error": "Invalid request. Please provide 'question' in JSON format."}), 400
+
+
+@app.route("/api/python")
+def hello_world():
+    return "<p>Hello, World!</p>"

embedchain/deployment/render.com/requirements.txt

@@ -0,0 +1,5 @@
+numpy==1.24.3
+Flask==2.2.2
+Werkzeug==2.2.2
+gunicorn
+embedchain

poetry.lock

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+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
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 python-dateutil = ">=2.7"
 setuptools_scm = ">=7"
 
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 requests = ">=2.14.0"
 
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+windows-terminal = ["colorama (>=0.4.6)"]
+
 [[package]]
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 version = "2.8.0"
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@@ -5811,6 +5822,24 @@ files = [
 [package.dependencies]
 six = ">=1.7.0"
 
+[[package]]
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+version = "13.7.0"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.7.0"
+files = [
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+
+[package.dependencies]
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+pygments = ">=2.13.0,<3.0.0"
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
 [[package]]
 name = "rsa"
 version = "4.9"
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@@ -6330,54 +6354,13 @@ description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
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 ]
 
@@ -7882,4 +7865,4 @@ youtube = ["youtube-transcript-api", "yt_dlp"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "846cca158ccd7a2ecc3d0a08218d273846aad15e0ac5c19ddeb1b5de00fa9a3f"
+content-hash = "f8250986e08c790f8da48c85a55b7aca92e557bae2b83c967dcda7a90c4bae10"

pyproject.toml

@@ -98,6 +98,7 @@ requests = "^2.31.0"
 openai = ">=1.1.1"
 chromadb = "^0.4.17"
 posthog = "^3.0.2"
+rich = "^13.7.0"
 tiktoken = { version = "^0.4.0", optional = true }
 youtube-transcript-api = { version = "^0.6.1", optional = true }
 beautifulsoup4 = { version = "^4.12.2", optional = true }
@@ -215,3 +216,4 @@ google = ["google-generativeai"]
 [tool.poetry.group.docs.dependencies]
 
 [tool.poetry.scripts]
+ec = "embedchain.cli:cli"