fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
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from app.chatgpt import bp, sendMessage
from flask import request, jsonify
import os
from app.chatgpt import streamMessage
from app import sockio
from flask_socketio import emit, disconnect
cwd = os.path.dirname(os.path.abspath(__file__))
config_directory = os.path.expanduser("~/.config/fabric/patterns")
modules = os.listdir(config_directory)
@bp.route("/static/<path_name>", methods=['POST'])
# @jwt_required()
def extractwisdom(path_name):
wisdomFile = os.path.join(cwd, f"patterns/{path_name}/system.md")
if os.path.exists(wisdomFile):
with open(wisdomFile, "r") as f:
systemPrompt = f.read()
data = request.get_json()
input_data = data.get('input')
return sendMessage(systemPrompt, input_data), 200
else:
return {'error': 'module not found'}, 404
@bp.route("/patterns", methods=['GET'])
# @jwt_required()
def get_patterns():
return jsonify(modules), 200
@sockio.on('connect')
def handle_connect():
# token = request.headers.get('Authorization')
# if token:
# token = token.split(' ')[1]
# if not is_token_valid(token):
# emit('error', {'data': 'invalid token'})
# disconnect()
# else:
# emit('error', {'data': 'no token'})
# disconnect()
pass
@sockio.on("fabric")
def fabric(message):
module = message['module']
input_data = message['input_data']
if module not in modules:
available_modules = '\n'.join(modules)
emit(
'error', f"module {module} not found. Available modules are:\n{available_modules}")
disconnect()
else:
streamMessage(input_data, f"patterns/{module}/system.md")
disconnect()