add: API server(#422)
Add an example of api server so that devs can quickly get up a bot running along with its api
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docs/examples/api_server.mdx
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46
docs/examples/api_server.mdx
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---
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title: '🌍 API Server'
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---
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### 🐳 Docker Setup
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- Open variables.env, and edit it to add your 🔑 `OPENAI_API_KEY`.
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- To setup your api server using docker, run the following command inside this folder using your terminal.
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```bash
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docker-compose up --build
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```
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📝 Note: The build command might take a while to install all the packages depending on your system resources.
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### 🚀 Usage Instructions
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- Your api server is running on [http://localhost:5000/](http://localhost:5000/)
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- To use the api server, make an api call to the endpoints `/add` and `/query` using the json formats discussed below.
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- To add data sources to the bot:
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```json
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// Request
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{
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"data_type": "your_data_type_here",
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"url_or_text": "your_url_or_text_here"
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}
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// Response
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{
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"data": "Added data_type: url_or_text"
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}
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```
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- To ask questions from the bot:
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```json
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// Request
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{
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"question": "your_question_here"
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}
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// Response
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{
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"data": "your_answer_here"
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}
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```
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🎉 Happy Chatting! 🎉
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@@ -36,7 +36,7 @@
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},
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{
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"group": "Examples",
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"pages": ["examples/full_stack"]
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"pages": ["examples/full_stack", "examples/api_server"]
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},
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{
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"group": "Contribution Guidelines",
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8
examples/api_server/.dockerignore
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8
examples/api_server/.dockerignore
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__pycache__/
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database
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db
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pyenv
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venv
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.env
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.git
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trash_files/
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8
examples/api_server/.gitignore
vendored
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8
examples/api_server/.gitignore
vendored
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__pycache__
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db
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database
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pyenv
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venv
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.env
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trash_files/
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.ideas.md
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examples/api_server/Dockerfile
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examples/api_server/Dockerfile
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FROM python:3.11 AS backend
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WORKDIR /usr/src/api
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COPY requirements.txt .
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RUN pip install -r requirements.txt
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COPY . .
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EXPOSE 5000
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CMD ["python", "api_server.py"]
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42
examples/api_server/api_server.py
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examples/api_server/api_server.py
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from flask import Flask, jsonify, request
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from embedchain import App
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app = Flask(__name__)
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def initialize_chat_bot():
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global chat_bot
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chat_bot = App()
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@app.route("/add", methods=["POST"])
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def add():
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data = request.get_json()
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data_type = data.get("data_type")
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url_or_text = data.get("url_or_text")
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if data_type and url_or_text:
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try:
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chat_bot.add(data_type, url_or_text)
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return jsonify({"data": f"Added {data_type}: {url_or_text}"}), 200
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except Exception:
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return jsonify({"error": f"Failed to add {data_type}: {url_or_text}"}), 500
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return jsonify({"error": "Invalid request. Please provide 'data_type' and 'url_or_text' in JSON format."}), 400
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@app.route("/query", methods=["POST"])
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def query():
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data = request.get_json()
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question = data.get("question")
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if question:
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try:
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response = chat_bot.chat(question)
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return jsonify({"data": response}), 200
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except Exception:
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return jsonify({"error": "An error occurred. Please try again!"}), 500
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return jsonify({"error": "Invalid request. Please provide 'question' in JSON format."}), 400
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if __name__ == "__main__":
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initialize_chat_bot()
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app.run(host="0.0.0.0", port=5000, debug=False)
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examples/api_server/docker-compose.yml
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examples/api_server/docker-compose.yml
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version: "3.9"
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services:
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backend:
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container_name: embedchain_api
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restart: unless-stopped
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build:
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context: .
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dockerfile: Dockerfile
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env_file:
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- variables.env
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ports:
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- "5000:5000"
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2
examples/api_server/requirements.txt
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2
examples/api_server/requirements.txt
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flask==2.3.2
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embedchain==0.0.30
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1
examples/api_server/variables.env
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1
examples/api_server/variables.env
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OPENAI_API_KEY=""
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