+
+1. Send request from Angular frontend (ex, organize files)
+2. Backend receives request through a REST API of FastAPI.
+3. Check SQLite if files has already been processed (cached files).
+4. Return cached summary if file was already processed.
+5. If the file has not been processed before, send new file to LLM for summarization.
+6. Cache summary in SQLite.
+7. Return summary to Angular frontend.
+8. Display summary to user and perform actions if need it.
+
+## License
+
+This project is licensed under the MIT License.
diff --git a/backend/.env b/backend/.env
new file mode 100644
index 0000000..bb80745
--- /dev/null
+++ b/backend/.env
@@ -0,0 +1,9 @@
+# API and MODEL used for documents processing
+TEXT_API_END_POINT=https://api.groq.com/openai/v1
+TEXT_MODEL_NAME=llama3-70b-8192
+TEXT_API_KEYS=["gsk_xxx"]
+
+# API and MODEL used for images processing
+IMAGE_API_END_POINT=http://localhost:11434/v1
+IMAGE_MODEL_NAME=moondream:latest
+IMAGE_API_KEYS=["ollama"] # Required but not used
\ No newline at end of file
diff --git a/backend/app/__init__.py b/backend/app/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/app/database.py b/backend/app/database.py
new file mode 100644
index 0000000..28e8491
--- /dev/null
+++ b/backend/app/database.py
@@ -0,0 +1,63 @@
+import sqlite3
+
+
+class SQLiteDB:
+ def __init__(self):
+ self.conn = sqlite3.connect('FileWizardAi.db')
+ self.cursor = self.conn.cursor()
+ create_table_query = "CREATE TABLE IF NOT EXISTS files_summary (file_path TEXT PRIMARY KEY,file_hash TEXT NOT NULL,summary TEXT)"
+ self.cursor.execute(create_table_query)
+ self.conn.commit()
+
+ def select(self, table_name, where_clause=None):
+ sql = f"SELECT * FROM {table_name}"
+ if where_clause:
+ sql += f" WHERE {where_clause}"
+ self.cursor.execute(sql)
+ return self.cursor.fetchall()
+
+ def is_file_exist(self, file_path, file_hash):
+ self.cursor.execute("SELECT * FROM files_summary WHERE file_path = ? AND file_hash = ?", (file_path, file_hash))
+ file = self.cursor.fetchone()
+ return bool(file)
+
+ def insert_file_summary(self, file_path, file_hash, summary):
+ c = self.conn.cursor()
+ c.execute("SELECT * FROM files_summary WHERE file_path=?", (file_path,))
+ user_exists = c.fetchone()
+
+ if user_exists:
+ c.execute("UPDATE files_summary SET file_hash=?, summary=? WHERE file_path=?",
+ (file_hash, summary, file_path))
+ else:
+ c.execute("INSERT INTO files_summary (file_path, file_hash, summary) VALUES (?, ?, ?)",
+ (file_path, file_hash, summary))
+ self.conn.commit()
+
+ def get_file_summary(self, file_path):
+ self.cursor.execute("SELECT summary FROM files_summary WHERE file_path = ?", (file_path,))
+ result = self.cursor.fetchone()
+ return result[0] if result else None
+
+ def drop_table(self):
+ self.cursor.execute("DROP TABLE IF EXISTS files_summary")
+ self.conn.commit()
+
+ def get_all_files(self):
+ self.cursor.execute("SELECT file_path FROM files_summary")
+ results = self.cursor.fetchall()
+ files_path = [row[0] for row in results]
+ return files_path
+
+ def update_file(self, old_file_path, new_file_path, new_hash):
+ self.cursor.execute("UPDATE files_summary SET file_path = ?, file_hash = ? WHERE file_path = ?",
+ (new_file_path, new_hash, old_file_path))
+ self.conn.commit()
+
+ def delete_records(self, file_paths):
+ placeholders = ",".join("?" * len(file_paths))
+ self.cursor.execute(f"DELETE FROM files_summary WHERE file_path IN ({placeholders})", file_paths)
+ self.conn.commit()
+
+ def close(self):
+ self.conn.close()
diff --git a/backend/app/run.py b/backend/app/run.py
new file mode 100644
index 0000000..e8d0b13
--- /dev/null
+++ b/backend/app/run.py
@@ -0,0 +1,138 @@
+from llama_index.core.schema import ImageDocument
+import asyncio
+from llama_index.core import Document, SimpleDirectoryReader
+from llama_index.core.node_parser import TokenTextSplitter
+import os
+import logging
+from pathlib import Path
+
+from .database import SQLiteDB
+from .settings import CustomFormatter
+from .settings import Model
+import shutil
+
+logger = logging.getLogger()
+logger.setLevel(logging.INFO)
+ch = logging.StreamHandler()
+ch.setLevel(logging.INFO)
+ch.setFormatter(CustomFormatter())
+logger.addHandler(ch)
+model = Model()
+db = SQLiteDB()
+
+
+async def summarize_document(doc: Document):
+ logger.info(f"Processing file {doc.metadata['file_path']}")
+ if db.is_file_exist(doc.metadata['file_path'], doc.hash):
+ summary = db.get_file_summary(doc.metadata['file_path'])
+ else:
+ summary = await model.summarize_document_api(doc.text)
+ db.insert_file_summary(doc.metadata['file_path'], doc.hash, summary)
+ return {
+ "file_path": doc.metadata['file_path'],
+ "summary": summary
+ }
+
+
+async def summarize_image_document(doc: ImageDocument):
+ logger.info(f"Processing image {doc.image_path}")
+ if db.is_file_exist(doc.image_path, doc.hash):
+ summary = db.get_file_summary(doc.image_path)
+ else:
+ summary = await model.summarize_image_api(image_path=doc.image_path)
+ db.insert_file_summary(doc.image_path, doc.hash, summary)
+ return {
+ "file_path": doc.image_path,
+ "summary": summary
+ }
+
+
+async def dispatch_summarize_document(doc):
+ if isinstance(doc, ImageDocument):
+ return await summarize_image_document(doc)
+ elif isinstance(doc, Document):
+ return await summarize_document(doc)
+ else:
+ raise ValueError("Document type not supported")
+
+
+async def get_summaries(documents):
+ docs_summaries = await asyncio.gather(
+ *[dispatch_summarize_document(doc) for doc in documents]
+ )
+ return docs_summaries
+
+
+async def remove_deleted_files():
+ file_paths = db.get_all_files()
+ deleted_file_paths = [file_path for file_path in file_paths if not os.path.exists(file_path)]
+ db.delete_records(deleted_file_paths)
+
+
+def load_documents(path: str, recursive: bool, required_exts: list):
+ reader = SimpleDirectoryReader(
+ input_dir=path,
+ recursive=recursive,
+ required_exts=required_exts,
+ )
+ splitter = TokenTextSplitter(chunk_size=6144)
+ documents = []
+ for docs in reader.iter_data():
+ # By default, llama index split files into multiple "documents"
+ if len(docs) > 1:
+ try:
+ # So we first join all the document contexts, then truncate by token count
+ text = splitter.split_text("\n".join([d.text for d in docs]))[0]
+ documents.append(Document(text=text, metadata=docs[0].metadata))
+ except Exception as e:
+ logger.error(f"Error reading file {docs[0].metadata['file_path']} \n") # , e.args)
+ else:
+ documents.append(docs[0])
+ return documents
+
+
+async def get_dir_summaries(path: str, recursive: bool, required_exts: list):
+ doc_dicts = load_documents(path, recursive, required_exts)
+ await remove_deleted_files()
+ files_summaries = await get_summaries(doc_dicts)
+
+ # Convert path to relative path
+ for summary in files_summaries:
+ summary["file_path"] = os.path.relpath(summary["file_path"], path)
+
+ return files_summaries
+
+
+async def run(directory_path: str, recursive: bool, required_exts: list):
+ logger.info("Starting ...")
+
+ summaries = await get_dir_summaries(directory_path, recursive, required_exts)
+ files = await model.create_file_tree_api(summaries)
+
+ # Recursively create dictionary from file paths
+ tree = {}
+ for file in files:
+ parts = Path(file["dst_path"]).parts
+ current = tree
+ for part in parts:
+ current = current.setdefault(part, {})
+
+ return files
+
+
+def update_file(root_path, item):
+ src_file = root_path + "/" + item["src_path"]
+ dst_file = root_path + "/" + item["dst_path"]
+ dst_dir = os.path.dirname(dst_file)
+ if not os.path.exists(dst_dir):
+ os.makedirs(dst_dir)
+ if os.path.isfile(src_file):
+ shutil.move(src_file, dst_file)
+ new_hash = SimpleDirectoryReader(input_files=[dst_file]).load_data()[0].hash
+ db.update_file(src_file, dst_file, new_hash)
+
+
+async def search_files(root_path: str, recursive: bool, required_exts: list, search_query: str):
+ summaries = await get_dir_summaries(root_path, recursive, required_exts)
+ files = await model.search_files_api(summaries, search_query)
+ return files
diff --git a/backend/app/server.py b/backend/app/server.py
new file mode 100644
index 0000000..a6a6531
--- /dev/null
+++ b/backend/app/server.py
@@ -0,0 +1,82 @@
+from fastapi import FastAPI, Request, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.staticfiles import StaticFiles
+from .run import run, update_file, search_files
+import os
+import subprocess
+import platform
+from fastapi.responses import FileResponse
+
+app = FastAPI()
+app.add_middleware(
+ CORSMiddleware,
+ allow_origins=["*"],
+ allow_credentials=True,
+ allow_methods=["*"],
+ allow_headers=["*"],
+)
+
+app.mount("/static", StaticFiles(directory="app/static"), name="static")
+
+@app.get('/')
+def get_angular_app():
+ return FileResponse("app/static/index.html")
+
+
+@app.get("/get_files")
+async def get_files(root_path: str, recursive: bool, required_exts: str):
+ if not os.path.exists(root_path):
+ return HTTPException(status_code=404, detail=f"Path doesn't exist: {root_path}")
+ required_exts = required_exts.split(';')
+ files = await run(root_path, recursive, required_exts)
+ return {
+ "root_path": root_path,
+ "items": files
+ }
+
+
+@app.post("/update_files")
+async def update_files(request: Request):
+ data = await request.json()
+ root_path = data.get('root_path')
+ items = data.get('items')
+ for item in items:
+ try:
+ update_file(root_path, item)
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=f"Error while moving file: {e}")
+ return {"message": "Files moved successfully"}
+
+
+@app.post("/open_file")
+async def open_file(request: Request):
+ data = await request.json()
+ file_path = data.get('file_path')
+ if not os.path.exists(file_path):
+ return HTTPException(status_code=404, detail=f"File doesn't exist: {file_path}")
+ current_os = platform.system()
+ try:
+ if current_os == "Windows":
+ os.startfile(file_path)
+ elif current_os == "Darwin":
+ subprocess.run(["open", file_path])
+ elif current_os == "Linux":
+ subprocess.run(["xdg-open", file_path])
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=f"Error while opening file: {e}")
+ return {"message": "Files opened successfully"}
+
+
+@app.get("/search_files")
+async def get_search_files(root_path: str, recursive: bool, required_exts: str, search_query: str):
+ if not os.path.exists(root_path):
+ return HTTPException(status_code=404, detail=f"Path doesn't exist: {root_path}")
+ required_exts = required_exts.split(';')
+ files = await search_files(root_path, recursive, required_exts, search_query)
+ return files
+
+
+if __name__ == "__main__":
+ import uvicorn
+
+ uvicorn.run(app, port=8000)
diff --git a/backend/app/settings.py b/backend/app/settings.py
new file mode 100644
index 0000000..039fe85
--- /dev/null
+++ b/backend/app/settings.py
@@ -0,0 +1,269 @@
+import time
+
+from pydantic_settings import BaseSettings, SettingsConfigDict
+from openai import AsyncOpenAI
+import base64
+import logging
+import json
+import sys
+import requests
+import logging
+
+logger = logging.getLogger()
+
+
+class Settings(BaseSettings):
+ model_config = SettingsConfigDict(env_file='.env')
+ TEXT_API_END_POINT: str
+ TEXT_MODEL_NAME: str
+ TEXT_API_KEYS: list[str]
+ IMAGE_API_END_POINT: str
+ IMAGE_MODEL_NAME: str
+ IMAGE_API_KEYS: list[str]
+
+
+class Model:
+ settings = Settings()
+
+ TEXT_API_END_POINT = settings.TEXT_API_END_POINT
+ TEXT_MODEL_NAME = settings.TEXT_MODEL_NAME
+ TEXT_API_KEYS = settings.TEXT_API_KEYS
+ IMAGE_API_END_POINT = settings.IMAGE_API_END_POINT
+ IMAGE_MODEL_NAME = settings.IMAGE_MODEL_NAME
+ IMAGE_API_KEYS = settings.IMAGE_API_KEYS
+ text_keys_count = len(TEXT_API_KEYS)
+ image_keys_count = len(IMAGE_API_KEYS)
+ MAX_TOKEN_SIZE = 4000 # Increase or decrease based on the model context window size
+ cnt_txt = 0
+ cnt_img = 0
+
+ def __init__(self):
+ self.async_text_clients = [AsyncOpenAI(base_url=self.TEXT_API_END_POINT, api_key=api_key)
+ for api_key in self.TEXT_API_KEYS]
+ self.async_image_clients = [AsyncOpenAI(base_url=self.IMAGE_API_END_POINT, api_key=api_key)
+ for api_key in self.IMAGE_API_KEYS]
+
+ async def summarize_image_api(self, image_path):
+ prompt = """
+ Describe this image in the most concise way possible, capturing only the essential elements and details.
+ Aim for a very brief yet accurate summary.
+ """
+ attempt = 0
+ summary = ""
+ # Huggingface API doesn't support image completions
+ if "huggingface.co" in self.IMAGE_API_END_POINT.lower():
+ # To avoid rate_limit_exceeded or api error
+ endpoint_url = self.IMAGE_API_END_POINT.replace("v1", "models") + "/" + self.IMAGE_MODEL_NAME
+ while attempt < 5:
+ try:
+ headers = {"Authorization": f"Bearer {self.IMAGE_API_KEYS[self.cnt_img % self.image_keys_count]}"}
+ with open(image_path, "rb") as f:
+ data = f.read()
+ response = requests.post(endpoint_url, headers=headers, data=data)
+ summary = response.json()[0]["generated_text"]
+ break
+ except Exception as e:
+ logger.error("Error {}".format(e))
+ attempt += 1
+ self.cnt_img += 1
+ else:
+ with open(image_path, "rb") as image_file:
+ base64_image = base64.b64encode(image_file.read()).decode('utf-8')
+ # To avoid rate_limit_exceeded or api error
+ while attempt < 5:
+ try:
+ chat_completion = await self.async_image_clients[
+ self.cnt_img % self.text_keys_count].chat.completions.create(
+ model=Model.IMAGE_MODEL_NAME,
+ messages=[
+ {
+ "role": "user",
+ "content": [
+ {"type": "text", "text": prompt},
+ {
+ "type": "image_url",
+ "image_url": {
+ "url": f"data:image/jpeg;base64,{base64_image}"
+ },
+ },
+ ],
+ }
+ ],
+ timeout=None,
+ temperature=0,
+ )
+ summary = chat_completion.choices[0].message.content
+ break
+ except Exception as e:
+ logger.error("Error {}".format(e))
+ attempt += 1
+ self.cnt_img += 1
+ return summary
+
+ async def summarize_document_api(self, doc_text):
+ prompt = """
+ You will be provided with the contents of a file. Provide a summary of the contents.
+ The purpose of the summary is to organize files based on their content.
+ To this end provide a concise but informative summary. Make the summary as specific to the file as possible.
+ It is very important that you only provide the final output without any additional comments or remarks.
+ """.strip()
+ attempt = 0
+ summary = ""
+ # To avoid rate_limit_exceeded or api error
+ while attempt < 5:
+ try:
+ chat_completion = await self.async_text_clients[
+ self.cnt_txt % self.text_keys_count].chat.completions.create(
+ model=Model.TEXT_MODEL_NAME,
+ messages=[
+ {"role": "system", "content": prompt},
+ {"role": "user", "content": doc_text},
+ ],
+ stream=False,
+ temperature=0,
+ timeout=None,
+ )
+ summary = chat_completion.choices[0].message.content
+ break
+ except Exception as e:
+ logger.error("Error {}".format(e))
+ attempt += 1
+ self.cnt_txt += 1
+ return summary
+
+ async def create_file_tree_api(self, summaries: list):
+ tmp: list = []
+ file_tree: list = []
+ for summary in summaries:
+ # it's better to use tiktoken here
+ if (sys.getsizeof(json.dumps(tmp)) + sys.getsizeof(json.dumps(summary))) / 4 >= self.MAX_TOKEN_SIZE:
+ file_tree = file_tree + await self.create_file_tree_api_chunk(tmp)
+ tmp = []
+ else:
+ tmp.append(summary)
+ if len(tmp) > 0:
+ file_tree = file_tree + await self.create_file_tree_api_chunk(tmp)
+ return file_tree
+
+ async def create_file_tree_api_chunk(self, summaries: list):
+ file_prompt = """
+ You will be provided with list of source files and a summary of their contents.
+ For each file,propose a new path and filename, using a directory structure that optimally organizes the files using known conventions and best practices.
+ Follow good naming conventions. Here are a few guidelines
+ - Think about your files : What related files are you working with?
+ - Identify metadata (for example, date, sample, experiment) : What information is needed to easily locate a specific file?
+ - Abbreviate or encode metadata
+ - Use versioning : Are you maintaining different versions of the same file?
+ - Think about how you will search for your files : What comes first?
+ - Deliberately separate metadata elements : Avoid spaces or special characters in your file names
+ If the file is already named well or matches a known convention, set the destination path to the same as the source path.
+
+ Your response must be a JSON object with the following schema, dont add any extra text except the json:
+ ```json
+ {
+ "files": [
+ {
+ "src_path": "original file path",
+ "dst_path": "new file path under proposed directory structure with proposed file name"
+ }
+ ]
+ }
+ ```
+ """.strip()
+ attempt = 0
+ file_tree = None
+ while attempt < 10:
+ try:
+ chat_completion = await self.async_text_clients[
+ self.cnt_txt % self.text_keys_count].chat.completions.create(
+ messages=[
+ {"role": "system", "content": file_prompt},
+ {"role": "user", "content": json.dumps(summaries)},
+ ],
+ model=self.TEXT_MODEL_NAME,
+ stream=False,
+ temperature=0,
+ )
+ result = chat_completion.choices[0].message.content
+ # case when llm doesn't support llama json template
+ result = result.replace("```json", "").replace("```", "").strip()
+ file_tree = json.loads(result)["files"]
+ break
+ except Exception as e:
+ logger.error("Error {}".format(e))
+ attempt += 1
+ self.cnt_txt += 1
+ time.sleep(2)
+ return file_tree
+
+ async def search_files_api(self, summaries: list, search_query: str):
+ tmp: list = []
+ files: list = []
+ for summary in summaries:
+ # it's better to use tiktoken here
+ if (sys.getsizeof(json.dumps(tmp)) + sys.getsizeof(json.dumps(summary))) / 4 >= self.MAX_TOKEN_SIZE:
+ files = files + await self.search_files_api_chunk(tmp, search_query)
+ tmp = []
+ else:
+ tmp.append(summary)
+ if len(tmp) > 0:
+ files = files + await self.search_files_api_chunk(tmp, search_query)
+ return files
+
+ async def search_files_api_chunk(self, summaries: list, search_query: str):
+ file_prompt = """
+ You will be provided with list of source files and a summary of their contents:
+ return the files that matches or have a similar content to this search query: """ + search_query + """
+
+ Your response must be a JSON object with the following schema, dont add any extra text except the json:
+ ```json
+ {
+ "files": [
+ {
+ "file": "File that matches or have a similar content to the search query"
+ }
+ ]
+ }
+ """.strip()
+ while True:
+ try:
+ chat_completion = await self.async_text_clients[
+ self.cnt_txt % self.text_keys_count].chat.completions.create(
+ messages=[
+ {"role": "system", "content": file_prompt},
+ {"role": "user", "content": json.dumps(summaries)},
+ ],
+ model=self.TEXT_MODEL_NAME,
+ stream=False,
+ timeout=None,
+ )
+ result = chat_completion.choices[0].message.content
+ files = json.loads(result)["files"]
+ break
+ except Exception as e:
+ logger.error("Error {}".format(e))
+ self.cnt_txt += 1
+ time.sleep(2)
+ return files
+
+
+class CustomFormatter(logging.Formatter):
+ grey = "\x1b[38;5;15m"
+ yellow = "\x1b[33;20m"
+ red = "\x1b[31;20m"
+ bold_red = "\x1b[31;1m"
+ reset = "\x1b[0m"
+ format = "%(asctime)s - %(name)s - %(levelname)s - %(message)s (%(filename)s:%(lineno)d)"
+
+ FORMATS = {
+ logging.DEBUG: grey + format + reset,
+ logging.INFO: grey + format + reset,
+ logging.WARNING: yellow + format + reset,
+ logging.ERROR: red + format + reset,
+ logging.CRITICAL: bold_red + format + reset
+ }
+
+ def format(self, record):
+ log_fmt = self.FORMATS.get(record.levelno)
+ formatter = logging.Formatter(log_fmt)
+ return formatter.format(record)
diff --git a/backend/app/static/3rdpartylicenses.txt b/backend/app/static/3rdpartylicenses.txt
new file mode 100644
index 0000000..e50c1d8
--- /dev/null
+++ b/backend/app/static/3rdpartylicenses.txt
@@ -0,0 +1,294 @@
+@angular/animations
+MIT
+
+@angular/cdk
+MIT
+The MIT License
+
+Copyright (c) 2023 Google LLC.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
+@angular/common
+MIT
+
+@angular/core
+MIT
+
+@angular/forms
+MIT
+
+@angular/material
+MIT
+The MIT License
+
+Copyright (c) 2023 Google LLC.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
+@angular/platform-browser
+MIT
+
+rxjs
+Apache-2.0
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
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diff --git a/backend/app/static/favicon.ico b/backend/app/static/favicon.ico
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@@ -0,0 +1,15 @@
+
+
+