SYMBOL INDEX (30 symbols across 9 files)

FILE: app/pages/graph_visualization.py
  function render_graph_page (line 35) | def render_graph_page(train_df, texts) -> None:
  function plot_author_paper_graph (line 66) | def plot_author_paper_graph(df, texts) -> None:
  function plot_keyword_paper_graph (line 94) | def plot_keyword_paper_graph(df, texts) -> None:
  function plot_graph (line 123) | def plot_graph(G, texts) -> None:
  function show_legend_paper_author (line 202) | def show_legend_paper_author(texts) -> None:
  function show_legend_paper_keyword (line 222) | def show_legend_paper_keyword(texts) -> None:

FILE: app/streamlit_app.py
  function render_paper (line 25) | def render_paper(row, texts) -> None:
  function run_streamlit_app (line 60) | def run_streamlit_app() -> None:

FILE: pipelines.py
  function load_config (line 25) | def load_config(config_path="config.yaml") -> dict:
  function main (line 39) | def main() -> None:

FILE: src/config_loader.py
  function load_config (line 20) | def load_config(config_path='config.yaml') -> dict:
  function load_texts (line 34) | def load_texts(language='en', base_path='i18n') -> dict:

FILE: src/enrich_papers_incremental.py
  function extract_arxiv_id (line 35) | def extract_arxiv_id(url) -> str:
  function extract_doi_from_url (line 51) | def extract_doi_from_url(url) -> str:
  function get_arxiv_metadata (line 67) | def get_arxiv_metadata(arxiv_id) -> dict:
  function get_crossref_metadata (line 107) | def get_crossref_metadata(doi) -> dict:
  function fetch_paper_metadata (line 144) | def fetch_paper_metadata(url):
  function enrich_incrementally (line 176) | def enrich_incrementally(

FILE: src/extract_papers_to_csv.py
  function extract_data_from_readme (line 18) | def extract_data_from_readme(input_path, output_path) -> None:

FILE: src/inference.py
  function load_embeddings_and_model (line 29) | def load_embeddings_and_model(config) -> tuple:
  function cosine_similarity_numpy (line 54) | def cosine_similarity_numpy(a, b):
  function search_papers_semantic (line 70) | def search_papers_semantic(
  function search_papers_exact_boost (line 104) | def search_papers_exact_boost(

FILE: src/preprocessing.py
  function ner_and_join_names (line 28) | def ner_and_join_names(text) -> str:
  function generate_ngrams (line 56) | def generate_ngrams(df) -> pd.DataFrame:
  function apply_ner (line 82) | def apply_ner(df) -> pd.DataFrame:

FILE: src/training.py
  function train_tfidf (line 32) | def train_tfidf(train_df, stop_words=None) -> tuple:
  function train_sbert_and_embed (line 67) | def train_sbert_and_embed(train_df, model_name='all-MiniLM-L6-v2') -> tu...
  function save_artifacts (line 85) | def save_artifacts(
  function main (line 126) | def main(config) -> None: