SYMBOL INDEX (72 symbols across 23 files)

FILE: .v0_1_1/docker/chat.py
  function generate_welcome_message (line 8) | def generate_welcome_message():
  function print_like_dislike (line 11) | def print_like_dislike(x: gr.LikeData):
  function add_message (line 14) | def add_message(history, message):
  function bot (line 22) | def bot(history):

FILE: .v0_1_1/docker/utils.py
  function merge_pdfs (line 45) | def merge_pdfs(pdfs: list):
  function create_a_persistent_db (line 53) | def create_a_persistent_db(pdfpath, dbpath, cachepath) -> None:
  function convert_none_to_str (line 107) | def convert_none_to_str(l: list):
  function just_chatting (line 116) | def just_chatting(

FILE: .v0_1_1/scripts/gemma_for_datasciences.py
  function create_a_persistent_db (line 60) | def create_a_persistent_db(pdfpath, dbpath, cachepath) -> None:
  function just_chatting (line 114) | def just_chatting(
  class ChatGUI (line 182) | class ChatGUI:
    method __init__ (line 183) | def __init__(self, master):
    method send_message (line 199) | def send_message(self):
    method display_message (line 207) | def display_message(self, message):

FILE: docker/agnostic_text_generation.py
  function reply (line 28) | def reply(message, history):

FILE: docker/audio_classification.py
  function classify_text (line 26) | def classify_text(audio):

FILE: docker/autotrain_interface.py
  function build_command (line 6) | def build_command(hf_usr, hf_token, configpath):

FILE: docker/build_your_llm.py
  function get_session_history (line 67) | def get_session_history(session_id):
  function build_langfuse_handler (line 77) | def build_langfuse_handler(langfuse_host, langfuse_pkey, langfuse_skey):
  function reply (line 88) | def reply(message, history, name, api_key, temperature, max_new_tokens,l...

FILE: docker/chat_your_llm.py
  function build_langfuse_handler (line 22) | def build_langfuse_handler(langfuse_host, langfuse_pkey, langfuse_skey):
  function get_session_history (line 33) | def get_session_history(session_id):
  function reply (line 36) | def reply(message, history, name, api_key, temperature, max_new_tokens,l...

FILE: docker/fal_img2img.py
  function submit (line 9) | async def submit(image_path, prompt, seed):
  function get_url (line 22) | def get_url(results):
  function render_image (line 28) | def render_image(api_key, image_path, prompt, seed):

FILE: docker/image_classification.py
  function get_results (line 29) | def get_results(image, ppln=pipe):

FILE: docker/image_generation.py
  function reply (line 28) | def reply(message, history):

FILE: docker/image_generation_pollinations.py
  function reply (line 6) | def reply(message, history):

FILE: docker/image_to_text.py
  function get_results (line 25) | def get_results(image, ppln=pipe):

FILE: docker/llama_cpp_int.py
  function llama_cpp_respond (line 58) | def llama_cpp_respond(query, max_new_tokens):
  function reply (line 74) | def reply(max_new_tokens, message):

FILE: docker/protein_folding_with_esm.py
  function read_mol (line 21) | def read_mol(molpath):
  function molecule (line 30) | def molecule(input_pdb):
  function convert_outputs_to_pdb (line 84) | def convert_outputs_to_pdb(outputs):
  function fold_protein (line 119) | def fold_protein(test_protein):

FILE: docker/retrieval_image_search.py
  function see_images (line 53) | def see_images(dataset, results):
  function process_img (line 60) | def process_img(image):

FILE: docker/retrieval_text_generation.py
  function reply (line 70) | def reply(message, history):

FILE: docker/select_and_run.py
  function build_command (line 7) | def build_command(tsk, mod="None", pdff="None", dirs="None", lan="None",...

FILE: docker/spaces_api_supabase.py
  function reply (line 76) | def reply(message, history):

FILE: docker/speech_recognition.py
  function classify_text (line 27) | def classify_text(audio):

FILE: docker/text_summarization.py
  function convert_none_to_str (line 31) | def convert_none_to_str(l: list):
  function pdf2string (line 40) | def pdf2string(pdfpath):
  function add_message (line 52) | def add_message(history, message):
  function bot (line 67) | def bot(history):

FILE: docker/utils.py
  function remove_items (line 14) | def remove_items(test_list, item):
  function merge_pdfs (line 18) | def merge_pdfs(pdfs: list):
  class NeuralSearcher (line 26) | class NeuralSearcher:
    method __init__ (line 27) | def __init__(self, collection_name, client, model):
    method search (line 33) | def search(self, text: str):
  class PDFdatabase (line 49) | class PDFdatabase:
    method __init__ (line 50) | def __init__(self, pdfs, encoder, client):
    method preprocess (line 55) | def preprocess(self):
    method collect_data (line 61) | def collect_data(self):
    method qdrant_collection_and_upload (line 68) | def qdrant_collection_and_upload(self):
  class Translation (line 86) | class Translation:
    method __init__ (line 87) | def __init__(self, text, destination):
    method translatef (line 94) | def translatef(self):
  class ImageDB (line 99) | class ImageDB:
    method __init__ (line 100) | def __init__(self, imagesdir, processor, model, client, dimension):
    method get_embeddings (line 118) | def get_embeddings(self, batch):
    method create_dataset (line 124) | def create_dataset(self):
    method to_collection (line 127) | def to_collection(self):
    method searchDB (line 155) | def searchDB(self, image):
  class NeuralSearcheR (line 167) | class NeuralSearcheR:
    method __init__ (line 168) | def __init__(self, collection, encoder):
    method search (line 171) | def search(self, text):

FILE: docker/video_generation.py
  function generate_images (line 27) | def generate_images(prompt, num_images):
  function generate_videos (line 36) | def generate_videos(images):
  function combine_videos (line 45) | def combine_videos(video_clips):
  function generate (line 49) | def generate(prompt):