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

Co-authored-by: sidmohanty11 <sidmohanty11@gmail.com>
This commit is contained in:
Deshraj Yadav
2023-12-19 14:36:44 +05:30
committed by GitHub
parent cd2c40a9c4
commit 3cd50c4cd9
18 changed files with 621 additions and 97 deletions

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db/

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OPENAI_API_KEY=sk-xxx

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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"]

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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")

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fastapi==0.104.0
uvicorn==0.23.2
embedchain==0.1.34
beautifulsoup4

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OPENAI_API_KEY=

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.env

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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

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modal==0.56.4329
fastapi==0.104.0
uvicorn==0.23.2
embedchain==0.1.34

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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>"

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numpy==1.24.3
Flask==2.2.2
Werkzeug==2.2.2
gunicorn
embedchain