diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..ffdd50d --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +**env.sh diff --git a/README.md b/README.md index 2cf2778..8d633ce 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,15 @@ -# octoai-solutions +# OctoAI Solutions A collection of reference solutions built on top of OctoAI SaaS + +## Project setup +Some of the solutions are implemented as poetry projects. + +### Creating requirements.txt from poetry +```bash +poetry export --without-hashes --format=requirements.txt > requirements.txt +``` + +### Synching requirements.txt to poetry +```bash +cat requirements.txt | xargs poetry add +``` diff --git a/ner/README.md b/ner/README.md new file mode 100644 index 0000000..a7ec5d5 --- /dev/null +++ b/ner/README.md @@ -0,0 +1,17 @@ +# NER Playground + +## Running locally +First input your different api keys in `env.sh`. Then: +```bash +source env.sh +``` + +### With Poetry +First setup via: +```bash +poetry install --no-root +``` +Now run via: +```bash +poetry run streamlit run ner_solution.py +``` diff --git a/ner/env.sh.example b/ner/env.sh.example new file mode 100644 index 0000000..2206f2b --- /dev/null +++ b/ner/env.sh.example @@ -0,0 +1,3 @@ +export LLAMA_CLOUD_API_KEY= +export OCTOAI_API_KEY= +export FIRECRAWL_API_KEY= diff --git a/ner/ner_solution.py b/ner/ner_solution.py index 250942a..f1f03e6 100644 --- a/ner/ner_solution.py +++ b/ner/ner_solution.py @@ -6,36 +6,51 @@ from code_editor import code_editor from llama_parse import LlamaParse +from firecrawl import FirecrawlApp from openai import OpenAI from pathlib import Path + def convert_to_json_schema(yaml_str): # Process yaml_dict yaml_dict = yaml.load(yaml_str, Loader=yaml.SafeLoader) # Prepare the return string - ret_str = "{\"properties\": {" + ret_str = '{"properties": {' for name, value in yaml_dict.items(): description = "" if "desc" in value: description = value["desc"] - ret_str += "\"{}\": {{".format(name) - ret_str += "\"description\": \"{}\", ".format(description) - ret_str += "\"title\": \"{}\", ".format(name.replace("_", " ").title()) - ret_str += "\"type\": \"string\"}, " + ret_str += '"{}": {{'.format(name) + ret_str += '"description": "{}", '.format(description) + ret_str += '"title": "{}", '.format(name.replace("_", " ").title()) + ret_str += '"type": "string"}, ' ret_str = ret_str[:-2] - ret_str += "}, \"required\": [" + ret_str += '}, "required": [' for name, value in yaml_dict.items(): - ret_str += "\"{}\", ".format(name) + ret_str += '"{}", '.format(name) ret_str = ret_str[:-2] - ret_str += "], \"title\": \"JSONObject\", \"type\": \"object\"}" + ret_str += '], "title": "JSONObject", "type": "object"}' return ret_str + st.set_page_config(layout="wide", page_title="NER Solution") -st.write("## NER Solution") +st.write("## NER Playground") + +if "octoai_api_key" not in st.session_state: + st.session_state["octoai_api_key"] = os.environ.get("OCTOAI_API_KEY", "") + +octoai_api_key = st.sidebar.text_input( + "OctoAI API Token [(get yours here)](https://octoai.cloud/n)", + type="password", + value=st.session_state.octoai_api_key, +) + + +################################################# +# Section 1: Inputs -octoai_api_key = st.sidebar.text_input("OctoAI API Token [(get yours here)](https://octoai.cloud/n)", type="password") pdf_file = st.sidebar.file_uploader("Upload your PDF file here", type=".pdf") @@ -59,16 +74,23 @@ def convert_to_json_schema(yaml_str): parser = LlamaParse( # Get API key from https://github.com/run-llama/llama_parse api_key=os.environ["LLAMA_CLOUD_API_KEY"], - result_type="markdown" + result_type="markdown", ) +website_url = st.sidebar.text_input("Enter the URL of the website to scrape") + +web_parser = FirecrawlApp(api_key=os.environ["FIRECRAWL_API_KEY"]) + +################################################# +# Section 2: Processing the inputs + if pdf_file and octoai_api_key: # Preprocess PDF with st.status("Processing the PDFs into Markdown form..."): # Store to disk # FIXME - tmoreau: let's not do this in the final version fp = Path("./", pdf_file.name) - with open(fp, mode='wb') as w: + with open(fp, mode="wb") as w: w.write(pdf_file.read()) # Read in first document documents = parser.load_data(Path("./", pdf_file.name)) @@ -76,9 +98,46 @@ def convert_to_json_schema(yaml_str): for document in documents: doc_str += document.text doc_str += "\n" + st.session_state.doc_str = doc_str + +elif website_url: + with st.status("Processing the website into Markdown form..."): + # Crawl a website: + crawl_status = web_parser.crawl_url( + website_url, + params={ + "limit": 5, + "scrapeOptions": {"formats": ["markdown"]}, + "excludePaths": ["/blog", "/docs"], + }, + wait_until_done=True, + poll_interval=20, + ) + doc_str = "" + for page in crawl_status["data"]: + doc_str += f"# {page['metadata']['title']}\n" + doc_str += page["markdown"] + doc_str += "\n" + + st.session_state.doc_str = doc_str + + +################################################# +# Section 3: Processing the outputs + +if "doc_str" in st.session_state.keys() and st.session_state.doc_str != "": + with st.expander( + f"See extracted markdown: {st.session_state.doc_str[:50]}", expanded=False + ): + tab1, tab2 = st.tabs(["Markdown", "Raw"]) + + with tab1: + st.markdown(st.session_state.doc_str) + with tab2: + st.code(st.session_state.doc_str, language="markdown") # Prepare the JSON schema - json_schema = convert_to_json_schema(code_response['text']) + json_schema = convert_to_json_schema(code_response["text"]) # Let's do some LLM magic here with st.status("Converting to JSON form..."): @@ -98,10 +157,10 @@ def convert_to_json_schema(yaml_str): "model": "meta-llama-3.1-70b-instruct", "messages": [ {"role": "system", "content": system_prompt.format(json_schema)}, - {"role": "user", "content": doc_str} + {"role": "user", "content": doc_str}, ], "temperature": 0, - "max_tokens": 131072 + "max_tokens": 131072, } # Derive output values response = client.chat.completions.create(**data) diff --git a/ner/poetry.lock b/ner/poetry.lock new file mode 100644 index 0000000..129758b --- /dev/null +++ b/ner/poetry.lock @@ -0,0 +1,2639 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + +[[package]] +name = "aiohappyeyeballs" +version = "2.4.0" +description = "Happy Eyeballs for asyncio" +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"}, + {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"}, +] + +[[package]] +name = "aiohttp" +version = "3.10.5" +description = "Async http client/server framework (asyncio)" +optional = false +python-versions = ">=3.8" +files = [ + {file = 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+firecrawl-py=="^1.0.1"