From 1dac63add6cdfcce8433c5fe9df8006c5fcc49f4 Mon Sep 17 00:00:00 2001 From: finn <finn@hillengass.de> Date: Thu, 29 Feb 2024 19:36:23 +0100 Subject: [PATCH] Delete unused files --- elise/README.md | 27 - elise/elise/__init__.py | 0 .../elise/__pycache__/__init__.cpython-39.pyc | Bin 155 -> 0 bytes .../__pycache__/benchmark.cpython-39.pyc | Bin 2397 -> 0 bytes .../elise/__pycache__/prompts.cpython-39.pyc | Bin 8573 -> 0 bytes elise/elise/benchmark.py | 88 - elise/elise/mwoz_annotation.py | 70 - elise/elise/output_dialogues_50.json | 3 - elise/elise/prompts.py | 426 --- elise/elise/schema.py | 168 - elise/llama2-13.benchmark.results.json | 0 elise/llama2-13b.benchmark.results.json | 0 elise/llama2-7b-gptq.benchmark.results.json | 0 elise/poetry | 277 -- elise/poetry.lock | 3312 ----------------- elise/pyproject.toml | 29 - 16 files changed, 4400 deletions(-) delete mode 100644 elise/README.md delete mode 100644 elise/elise/__init__.py delete mode 100644 elise/elise/__pycache__/__init__.cpython-39.pyc delete mode 100644 elise/elise/__pycache__/benchmark.cpython-39.pyc delete mode 100644 elise/elise/__pycache__/prompts.cpython-39.pyc delete mode 100644 elise/elise/benchmark.py delete mode 100644 elise/elise/mwoz_annotation.py delete mode 100644 elise/elise/output_dialogues_50.json delete mode 100644 elise/elise/prompts.py delete mode 100644 elise/elise/schema.py delete mode 100644 elise/llama2-13.benchmark.results.json delete mode 100644 elise/llama2-13b.benchmark.results.json delete mode 100644 elise/llama2-7b-gptq.benchmark.results.json delete mode 100644 elise/poetry delete mode 100644 elise/poetry.lock delete mode 100644 elise/pyproject.toml diff --git a/elise/README.md b/elise/README.md deleted file mode 100644 index 9da8853..0000000 --- a/elise/README.md +++ /dev/null @@ -1,27 +0,0 @@ -# ELiSe - Extracted Literal Search - -Extracted Literal Search is a simple method for Retrieval Augmented Generation (RAG). - -For small datasets where most of the data fields are known literals, this method is easier to implement and might provide better results than Similarity Search of embeddings. - -## Installation - -Make sure you have `poetry` installed. - -> pip install --local poetry - -Install the package. - -> poetry install - -Export your Huggingface token. - -> export HUGGING_FACE_HUB_TOKEN=<TOKEN> - -Run the vLLM server. For example with a quantized Llama-2 model. - -> poetry run python -m outlines.serve.serve --model="TheBloke/Llama-2-7b-Chat-GPTQ" -q gptq - -## Usage - -Define your domain specific prompts. diff --git a/elise/elise/__init__.py b/elise/elise/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/elise/elise/__pycache__/__init__.cpython-39.pyc b/elise/elise/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index e82e69e3d8e8400ec6c3b4f35cfc8f4ad2337ba4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 155 zcmYe~<>g`kf|}>+Q$h4&5P=LBfgA@QE@lA|DGb33nv8xc8Hzx{2;!H6enDEXeoA6V zqN#pHer~FMMhXzcL&&mRBU4lT;>x^~qD1}FoXp}>C>bB0nU`4-AFo$Xd5gm)H$SB` NC)EyQ@@F7s008~eB-sD} diff --git a/elise/elise/__pycache__/benchmark.cpython-39.pyc b/elise/elise/__pycache__/benchmark.cpython-39.pyc deleted file mode 100644 index 500b628aa8fda11aeb4d9c89b63982f7baa371f9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2397 zcmZuz&2QUA7M~$0iTbkTeAX?nopie!Xk$xu(rnTq=m*lY&0^smvOtl+7Q&b_k{FXi zdN_(LgE~0{_OM0Kdk@au+Drc*UVF;9w|2Mad!&^(-IC%P&YO9^`Mo#u9woZn7J=*M zAHP@M!`lzoIeR(Kc^{ta-ykHBG$Ndqt;5~2^|%ME6V>86ug4AEh<)zIP2P-KycM^3 zJMQpK+~wVPg|Eb`d^PUzUcAQF;&c2QB@-gu|4@Ejdb0L}sPi9^W6Cc~2)`)n{E}=) z{|Vuj)hn{O=a_$~%g2NQiwC6NdIpThPQP0;Qj^4~&5D&c)L|^5QKcx>Uha?Px;Vd7 z?Fv0v&b#zGN}Sx;6<HW8XRV&?;qY3eIE!@Q|5P}!ry{YN7-7{C>-=vuIPKyK<yp*E zepd|!{dV6yx^|ywr6dz<nphRFP%}GKEK6o~$__#hW1|$jjl)6VKD_tf$i2q4!SKdi zq1il{F|dkQtXMcMErY2NDND3sQ;`8|W`$wEJ=Bx;%qoN&0j>kUy@x8>V9%FNBM~TO z6Ev6ulCUhym^w_A&cerPg9$BBvm}~EN@QyA9P$Q0{{8+{$)a$t#Mw=fJvL4ZQ{iN4 zS*j8+VUfs?3L66^(>MYokYlM$G<zWI%t$eRf&3OA|LuN;-Wdfn<}Zgz7$vGmy;TAM zMPPcL1rVQ!vL%HoD5(j9GmLKn?wcQjwH>g3fWKG45<*!;WCKH>_b|eP!rA%s$lYXr z1%u&d7#YEKm6+LZJc}wa7|6<T*gRo^X=qgdjwsVBL%zvwf$>K>$p#``1>ddMQyNHu zOUan2$I8s@6e3e{(R&#j0T$1K>41GAV7g!vWXj6OEHQ5b=53%}@!Vk5p0EhKh6Ayu zlLI^zcu1-<rmH2Gig4$aC~pJG2X~WMBwspDcnqz9wIgOjfWxSk5k$V_`G8S4uGOON zE#bDe0B-XkI0>E|s3=HcHDLGjqhyZorUC=IyCU8-p`55Im8rMMwzmU{RpIo);^o0} z7oO|_hzZHb=bZ)3p@glIubq7l3JHCN^S&j0r*H;a1-0fJ^h@#62g7un4W+Q+=5Pu` zhEoZ@Q6(S8*Kgh&W^*l#7^*1D)T!K6I+(`7><!X+(Yga87Q9H`{WIYH2oEurKpfQ} z8}pq{1Jo?96?pOCDJi$WnUE}qB_EQ{zx$`NpbN*+6DOxnDOS#fYh4&I3omzaPttXA zOcyol<uz#Q(pfYlUHG>4s4m^SW*d1!df&LR_NB9E=FJoTDUtPc#Ab_D-pcEeeBrDU zKx(WLsJ1fqW#blE`1>+<VO2kGyhd>4{Wom$q?Nl*>7reZv{9S8ImziAvhUmWNhgPy zi;nH)onsio_GINL@PqeN>C5J^^VO>h)b{c&T7L##7Z2`ZmlECECfR?tpwi?05Gy{x zioauUcb`cRM}L@Fo4zv~MoA!|X_DD@Zf|XE4JS$~EVO;Ms8?SBUNdT<4hyRLwD2Bf zi7q^=4(&6<I$}{IVsU+Q`^MnKt{IihBAX4$$@HMVX7Gd*-3o97#T*i#sEZV8n=HEO zP{eSEN06>ME8Ixw!Z&JvrZSsxF9mKzeLhOeNSoIX$I&ToKwcOzQH7I6yg7ys*hq$f zEozV<+QNrY9FC@m36BzOMO1hREX6wq2Fk)nOC;7`;f+(GynV_{i&&X;ScCf_2xdkE zbM7Inf~NdAeWfRMYF<SuG~hrrOB0<b3{)D;xhoz|xFg4fHx489A{op@wD4lc*-d!M zZi67yqaE4;=|k(g9^TY(918dUykF|A9=$+YZV%>EH_UT7)NCM@KN=z0Xw+ZlH9d>d zx%m_5c|A=cVKRgHV*ZGlZkb+#%FV3Y4&&k|rnjk~sH140!2B^y6!_o9v{7_WbWvc2 znJXZ88zXbNo91;?zlmZ=4TCuvo$<dc3uO@eJ8>dsk$M+7l$FJY0Qk<Gp1-<6F$n%& GeEKU+z^m;5 diff --git a/elise/elise/__pycache__/prompts.cpython-39.pyc b/elise/elise/__pycache__/prompts.cpython-39.pyc deleted file mode 100644 index e9127c4ca60aa4976381abb87f5685dd48c1eb30..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 8573 zcmeHM%WoS+7`L7G=H2xDoH~LwD0W1lmk2eOHWZiEsghKs5mGeqjP0fC8EbZ(;8x`V zCk{yb89j02f9Zt-Cys~<f(yTy^<(VX$r7vLA#XZgzxB?3JKubd`5tt7+KJ)%^S2-P z+Lc)BXMJN|bGZ2s!%xOzF&1NSFIJB4#N#m@X9+g+P3-IVP6GHa8!`A0@KH8q@L}NN zY{K9pz#TSe@KNAXY}(*sz-QR3!N-Bmv3Y|}06)PN4DJ9w$xa!368LF$#^6)H&$4p{ zp9X%OT`>3z@Qdt{!DoSAW>*Y8$A);KkYHnc7;uCS0Z#A{z)3y|IL*fZXZbkbJf8qO z#U}w5xC3~OPXnIeQ-Bxv4B#a`3wVXk6%xhSoq0yKVoO(l(Yv=4e>GZBvRn!B*tX`S zaXoHh_`?7!j#m=T9^R4MCqao5=2A}<Nl;aS<fRCxD+tX8t`v07<HQvOsmfH}uQ|^4 zqs`o^^Za@E(yo5##S4ev%Ds%ejPFcZ57ZDoXTTq8E0u!3!e~Hmu9Re%uap@6?S^o_ zeB<WL6~88!qAT2UeO`wlJAS%Sdo@#bg<GcHZupy~>?Z(X2{j5BiRI1XvAjqQVLIed z?`w-&HG<n$3yl@;QBkZfdlC;C%N~omZ0~r>?!IUzBm4ud$blP_Nb<@0R+30XlDUm! 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zU!U9vRF@p*253Gm(coIx#x?3dy`Y9o@JoaSpb0nHlKonDx~&OVm1H3No?a~ZqUr}^ z59@_Cm1|_5hK;7?>T(<8x{zJ95H#KgjoVb1GLPbUSq2{rEEl!FD;~vhp#3=wnyWgT z-Xgh^&D`I(`)K`m-PoBtcB)tj>c;w&WvnM*thuEVJL4!+d9L8T!f6*XZDpmKv`V)& zmF@&8-9J*gt)O%bTIq_U(lsEZ(`uzt6{X`sr4Lr6oq*EBUyX$wQ$H+t!{qDDV$&xc z|DY^c)#JCYq?oVk+*64}+!?D62mkAF2ID-&S&R!9Z(&@+cpD>$v4rss#>LV2A%DOA E1$^baMgRZ+ diff --git a/elise/elise/benchmark.py b/elise/elise/benchmark.py deleted file mode 100644 index 1fdced5..0000000 --- a/elise/elise/benchmark.py +++ /dev/null @@ -1,88 +0,0 @@ -#!/usr/bin/env python - -import numpy as np -import polars as pl -import requests - -from elise.prompts import ( - prompts, - minimal_prompt, - minimal_prompt_yn, - minimal_bang_prompt, - minimal_bang_prompt_yn, - basic_prompt, - basic_prompt_yn, - basic_bang_prompt, - basic_bang_prompt_yn, - elaborate_prompt, - elaborate_prompt_yn, - elaborate_bang_prompt, - elaborate_bang_prompt_yn, -) - -example_turns = [ - ("I need a hotel in the south with free wifi.", "YES", "+ 1"), - ("Can you tell me if the cheap one has a star rating?", "YES", "+ 2"), - ("Yes, I need a place to stay that is expensive, and is a hotel please.", "YES", "+ 3"), - ("I'd like to book for eight people lasting five nights, starting on Saturday.", "YES", "+ 4"), - ("Is there any hotel in the area with 4 stars and I can get for cheap price.", "YES", "+ 5"), - ("Great. That's all I need, thank you.", "NO", "- 6"), - ("What a beautiful hotel, I like the architecture", "NO", "- 7"), - ("No, you've taken care of everything. Thanks so much. Have a great day.", "NO", "- 8"), - ("Thank you, please let me know if you need anything else.", "NO", "- 9"), - ("Could you tell me the travel time and price of that train please?", "NO", "-10"), - ("You're welcome. Enjoy your time in Cambridge!", "NO", "- 11"), -] - -# Get the turn labels + for yes, - for no, enumerated -turn_labels = [t[2] for t in example_turns] -prompt_labels = [] - -# Regex to ask the model a yes or no question -y_or_n = "YES|NO" - - -def main(): - results = {} - for prompt_name, prompt in prompts: - prompt_labels.append(prompt_name) - accuracy = [] - for turn in example_turns: - p = prompt(turn[0]) - prompt_length = len(p) - - # We generate 100 responses per turn so we can calculate the accuracy in percent easily - n = 100 - - # Count results - c = 0 - - # Send prompt to vLLM server - response = requests.post( - "http://localhost:8000/generate", - json = { - "prompt": p, - "regex": y_or_n, - "n": n - } - ) - - - for reply in response.json()["text"]: - if reply[prompt_length:] == turn[1]: - c += 1 - - - accuracy.append(c/n) - avg = np.average(accuracy) - accuracy.append(avg) - results[prompt_name] = accuracy - df = pl.from_dict(results) - print(df) - print(df.max_horizontal()) - # TODO: Get model name with environment variable - with open("llama2-13.benchmark.results.json", "w") as file: - df.write_ndjson(file) - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/elise/elise/mwoz_annotation.py b/elise/elise/mwoz_annotation.py deleted file mode 100644 index 8c10297..0000000 --- a/elise/elise/mwoz_annotation.py +++ /dev/null @@ -1,70 +0,0 @@ -from enum import Enum -from outlines import models, prompt -from outlines.fsm import json_schema -from pydantic import BaseModel -from typing import Union, Optional -from typing_extensions import List, Literal -import json -import requests -import re - -from .schema import MultiWOZ - - -### Prompt -@prompt -def llama_prompt_no_schema(dialog): - """ -<s>[INST] <<SYS>> -You are a helpful annotator. You read the text carefully and annotate all valid feels in the schema. - -Make sure to only annotate attractions like museums, clubs or other tourist attractions as such. - -If you are not sure with an annotation you should annotate None instead. -<</SYS>> - -{{dialog}} [/INST] -""" - -### Requests -def main(): - # Read dialogue data - with open("elise/output_dialogues_50.json", "r") as file: - data = json.load(file) - dialogues = [d["dialogue"][0] for d in data] - - # Request annotations - for dia in dialogues: - prompt = llama_prompt_no_schema(dia) - - # Send request to vLLM server - response = requests.post( - "http://localhost:8000/generate", - json = { - "prompt": prompt, - "schema": MultiWOZ.model_json_schema(), - "max_tokens": 1024, # Find reasonable limit - "n": 1 - } - ) - - for reply in response.json()["text"]: - annotation = reply.split("[/INST]")[1] - # Cleanup the whitespace by some erroneous generations - annotation = annotation.replace("\n", "") - annotation = re.sub(r"\s+", " ", annotation) - with open("output_annotations.txt", "a") as file: - # Catch annotation errors like invalid json. - # Most of the time only a closing bracket is missing. - try: - annotation_json = json.loads(annotation) - file.write(json.dumps(annotation_json)) - file.write("\n") - except: - annotation = annotation + "}" - try: - annotation_json = json.loads(annotation) - file.write(json.dumps(annotation_json)) - file.write("\n") - except: - file.write(f"PARSING ERROR: {annotation}\n") \ No newline at end of file diff --git a/elise/elise/output_dialogues_50.json b/elise/elise/output_dialogues_50.json deleted file mode 100644 index b1b3cfe..0000000 --- a/elise/elise/output_dialogues_50.json +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:acd50f898e6d5349af01f70b1c31750c20d0e60ea2b92e4f724a8b43551548f1 -size 165847 diff --git a/elise/elise/prompts.py b/elise/elise/prompts.py deleted file mode 100644 index 0b06dee..0000000 --- a/elise/elise/prompts.py +++ /dev/null @@ -1,426 +0,0 @@ -from outlines import prompt - -@prompt -def minimal_prompt(dialog_turn): - """Does the dialog turn contain actionable information? - -TURN: -{{dialog_turn}} - """ - -@prompt -def minimal_bang_prompt(dialog_turn): - """Does the dialog turn contain actionable information? - -# TURN: -{{dialog_turn}} - """ - -@prompt -def minimal_prompt_yn(dialog_turn): - """Does the dialog turn contain actionable information? - -TURN: -{{dialog_turn}} - -Answer with "YES" or "NO". - """ - - -@prompt -def minimal_bang_prompt_yn(dialog_turn): - """Does the dialog turn contain actionable information? - -# TURN: -{{dialog_turn}} - -Answer with "YES" or "NO". - """ - - -@prompt -def basic_prompt(dialog_turn): - """Does the dialog turn contain actionable information? - -ACTIONABLE_INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - -TURN: -{{dialog_turn}} - """ - -@prompt -def basic_prompt_yn(dialog_turn): - """Does the dialog turn contain actionable information? - -ACTIONABLE_INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - -TURN: -{{dialog_turn}} - -Answer with "YES" or "NO". - """ - - -@prompt -def basic_bang_prompt(dialog_turn): - """Does the dialog turn contain actionable information? - -# ACTIONABLE_INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - -# TURN: -{{dialog_turn}} - """ - - -@prompt -def basic_bang_prompt_yn(dialog_turn): - """Does the dialog turn contain actionable information? - -# ACTIONABLE_INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - -# TURN: -{{dialog_turn}} - -Answer with "YES" or "NO". - """ - - - -@prompt -def elaborate_prompt(dialog_turn): - """Does the dialog turn contain actionable information? - -ACTIONABLE_INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - - -EXAMPLES: -"I would like to go to a restaurant in the south" -> "YES" - -"Thank you so much, have a nice day!" -> "NO" - -"Does the hotel has wi-fi?" -> "YES" - -"This seems like a nice hotel" -> "NO" - -TURN: -{{dialog_turn}} - """ - -@prompt -def elaborate_prompt_yn(dialog_turn): - """Does the dialog turn contain actionable information? - -ACTIONABLE_INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - - -EXAMPLES: -"I would like to go to a restaurant in the south" -> "YES" - -"Thank you so much, have a nice day!" -> "NO" - -"Does the hotel has wi-fi?" -> "YES" - -"This seems like a nice hotel" -> "NO" - -TURN: -{{dialog_turn}} - -Answer with "YES" or "NO". - """ - -@prompt -def elaborate_bang_prompt(dialog_turn): - """# INTERESTING INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - - -# EXAMPLES: -"I would like to go to a restaurant in the south" -> "YES" - -"Thank you so much, have a nice day!" -> "NO" - -"Does the hotel has wi-fi?" -> "YES" - -"This seems like a nice hotel" -> "NO" - -# TASK -Does the following dialog turn provide information of interest? - -# TURN: -{{dialog_turn}} - """ - -@prompt -def elaborate_bang_prompt2(dialog_turn): - """# INTERESTING INFORMATION: - - hotel-price - - hotel-location - - hotel-name - - hotel-stars - - hotel-guests - - length of the stay - - restaurant-price - - restaurant-location - - restaurant-food - - restaurant-name - - restaurant-seating - -# EXAMPLES: -"I would like to go to a restaurant in the south" -> "YES" - -"Thank you so much, have a nice day!" -> "NO" - -"Does the hotel has wi-fi?" -> "YES" - -"This seems like a nice hotel" -> "NO" - -# TASK -Does the following dialog turn provide information of interest? - -# TURN: -{{dialog_turn}} - """ - -@prompt -def elaborate_bang_prompt_yn(dialog_turn): - """# ACTIONABLE_INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - - -# EXAMPLES: -"I would like to go to a restaurant in the south" -> "yes" - -"Thank you so much, have a nice day!" -> "NO" - -"Does the hotel has wi-fi?" -> "YES" - -"This seems like a nice hotel" -> "NO" - -# TASK -Does the dialog turn contain actionable information? - -# TURN: -{{dialog_turn}} - -Answer with "yes" or "no". - """ - - -@prompt -def omega_prompt(dialog_turn): - """You are a world-class language-analyzer. -You analyze the sentence from the dialog turn and evaluate if there is interesting data to extract. -You reply reliably with yes or no. - -# INTERESTING INFORMATION: - - hotel - - price - - location - - name - - stars - - number of guests - - length of the stay - - restaurant - - price - - location - - food - - name - - seating - - number of guests - - -# EXAMPLES: -"I would like to go to a restaurant in the south" -> "YES" - -"Thank you so much, have a nice day!" -> "NO" - -"Does the hotel has wi-fi?" -> "YES" - -"This seems like a nice hotel" -> "NO" - -# TASK -Does the following dialog turn provide interesting information? - -# TURN: -{{dialog_turn}} - """ - -@prompt -def chatgpt_prompt(dialog_turn): - """# TASK: -Identify if the provided dialogue turn contains specific information related to hotels or restaurants. Relevant information includes: -- Hotel: price, location, name, star rating, guest information, length of stay -- Restaurant: price, location, food type, name, seating arrangement - -# INSTRUCTIONS: -Respond with "YES" if the dialogue turn includes any of the above information. -Respond with "NO" if the dialogue turn does not include any of the above information. - -# EXAMPLES: -1. "I'm looking for a hotel near the airport." - > YES (mentions hotel location) - -2. "What's the specialty dish at this restaurant?" - > YES (mentions restaurant food) - -3. "I just booked my vacation." - > NO (no specific information) - -4. "Can you recommend a good place to eat?" - > NO (no specific information) - -# DIALOGUE TURN: -{{dialog_turn}} - """ - -prompts = [ - ("minimal_prompt", minimal_prompt), - ("minimal_prompt_yn", minimal_prompt_yn), - ("minimal_bang_prompt", minimal_bang_prompt), - ("minimal_bang_prompt_yn", minimal_bang_prompt_yn), - ("basic_prompt", basic_prompt), - ("basic_prompt_yn", basic_prompt_yn), - ("basic_bang_prompt", basic_bang_prompt), - ("basic_bang_prompt_yn", basic_bang_prompt_yn), - ("elaborate_prompt_yn", elaborate_prompt_yn), - ("elaborate_prompt", elaborate_prompt), - ("elaborate_bang_prompt2", elaborate_bang_prompt2), - ("elaborate_bang_prompt", elaborate_bang_prompt), - ("elaborate_bang_prompt_yn", elaborate_bang_prompt_yn), - ("omega_prompt", omega_prompt), - ("chatgpt_prompt", chatgpt_prompt), -] \ No newline at end of file diff --git a/elise/elise/schema.py b/elise/elise/schema.py deleted file mode 100644 index 6ea2676..0000000 --- a/elise/elise/schema.py +++ /dev/null @@ -1,168 +0,0 @@ -from typing import List, Literal, Optional -from datetime import datetime - -from pydantic import BaseModel - - -class MultiWOZ(BaseModel): - attractionArea: Optional[Literal[ - "center", - "east", - "north", - "south", - "west", - ]] - attractionName: Optional[str] - attractionType: Optional[Literal[ - "architecture", - "boat", - "cinema", - "college", - "college", - "concerthall" - "entertainment", - "multiple sports", - "museum", - "nightclub", - "park", - "swimmingpool", - "theatre", - ]] - hotelArea: Optional[Literal[ - "center", - "east", - "north", - "south", - "west", - ]] - hotelBookday: Optional[Literal[ - "monday", - "tuesday", - "wednesday", - "thursday", - "friday", - "saturday", - "sunday" - ]] - hotelBookpeople: Optional[int] - hotelBookstay: Optional[int] - hotelInternet: Optional[Literal["yes", "no"]] - hotelName: Optional[str] - hotelParking: Optional[Literal["limited", "yes", "no"]] - hotelPricerange: Optional[Literal["cheap", "moderate", "expensive"]] - hotelStars: Optional[int] - hotelType: Optional[Literal["guesthouse", "hotel"]] - restaurantArea: Optional[Literal[ - "center", - "east", - "north", - "south", - "west", - ]] - restaurantBookday: Optional[Literal[ - "monday", - "tuesday", - "wednesday", - "thursday", - "friday", - "saturday", - "sunday" - ]] - restaurantBookpeople: Optional[int] - restaurantBooktime: Optional[datetime] - restaurantFood: Optional[str] - restaurantName: Optional[str] - restaurantPricerange: Optional[Literal["cheap", "moderate", "expensive"]] - taxiArriveby: Optional[datetime] - taxiDeparture: Optional[str] - taxiDestination: Optional[str] - taxiLeaveat: Optional[datetime] - trainArriveby: Optional[datetime] - trainBookpeople: Optional[int] - trainDay: Optional[str] - trainDeparture: Optional[datetime] - trainDestination: Optional[str] - trainLeaveat: Optional[datetime] - - -class HeidelKBerg(BaseModel): - attractionArea: Optional[Literal[ - "center", - "east", - "north", - "south", - "west", - ]] - attractionName: Optional[str] - attractionType: Optional[List[Literal[ - "active", - "architecture", - "child_friendly", - "educational", - "historic", - "indoor", - "nature", - "outdoor", - "passive", - "view", - "zoo", - ]]] - attractionPricerange: Optional[Literal["cheap", "moderate", "expensive", "free"]] - hotelArea: Optional[Literal[ - "center", - "east", - "north", - "south", - "west", - ]] - hotelBookday: Optional[Literal[ - "monday", - "tuesday", - "wednesday", - "thursday", - "friday", - "saturday", - "sunday" - ]] - hotelBookpeople: Optional[int] - hotelBookstay: Optional[int] - hotelInternet: Optional[Literal["yes", "no"]] - hotelName: Optional[str] - hotelParking: Optional[Literal["limited", "yes", "no"]] - hotelPricerange: Optional[Literal["cheap", "moderate", "expensive"]] - hotelStars: Optional[Literal["0", "1", "2", "3", "4", "5"]] - restaurantArea: Optional[Literal[ - "center", - "east", - "north", - "south", - "west", - ]] - restaurantBookday: Optional[Literal[ - "monday", - "tuesday", - "wednesday", - "thursday", - "friday", - "saturday", - "sunday" - ]] - restaurantBookpeople: Optional[int] - restaurantFood: Optional[List[Literal[ - "african", - "american", - "asian", - "chinese", - "german", - "greek", - "indian", - "international", - "italian", - "japanese", - "korean", - "oriental", - "sushi", - "thai" - ]]] - restaurantName: Optional[str] - restaurantPricerange: Optional[Literal["cheap", "moderate", "expensive"]] \ No newline at end of file diff --git a/elise/llama2-13.benchmark.results.json b/elise/llama2-13.benchmark.results.json deleted file mode 100644 index e69de29..0000000 diff --git a/elise/llama2-13b.benchmark.results.json b/elise/llama2-13b.benchmark.results.json deleted file mode 100644 index e69de29..0000000 diff --git a/elise/llama2-7b-gptq.benchmark.results.json b/elise/llama2-7b-gptq.benchmark.results.json deleted file mode 100644 index e69de29..0000000 diff --git a/elise/poetry b/elise/poetry deleted file mode 100644 index 7acbd23..0000000 --- a/elise/poetry +++ /dev/null @@ -1,277 +0,0 @@ -2024-01-23T17:21:42,989 Using pip 23.2.1 from /opt/bwhpc/common/jupyter/tensorflow/2023-10-10/lib/python3.9/site-packages/pip (python 3.9) -2024-01-23T17:21:42,992 Defaulting to user installation because normal site-packages is not writeable -2024-01-23T17:21:43,634 Created temporary directory: /scratch/slurm_tmpdir/job_23075234/pip-build-tracker-8pif7v9x -2024-01-23T17:21:43,634 Initialized build tracking at /scratch/slurm_tmpdir/job_23075234/pip-build-tracker-8pif7v9x -2024-01-23T17:21:43,634 Created build tracker: /scratch/slurm_tmpdir/job_23075234/pip-build-tracker-8pif7v9x -2024-01-23T17:21:43,634 Entered build tracker: /scratch/slurm_tmpdir/job_23075234/pip-build-tracker-8pif7v9x -2024-01-23T17:21:43,635 Created temporary directory: /scratch/slurm_tmpdir/job_23075234/pip-install-pat3phuz -2024-01-23T17:21:43,635 ERROR: You must give at least one requirement to install (see "pip help install") -2024-01-23T17:21:43,635 Exception information: -2024-01-23T17:21:43,635 Traceback (most recent call last): -2024-01-23T17:21:43,635 File "/opt/bwhpc/common/jupyter/tensorflow/2023-10-10/lib/python3.9/site-packages/pip/_internal/cli/base_command.py", line 180, in exc_logging_wrapper -2024-01-23T17:21:43,635 status = run_func(*args) -2024-01-23T17:21:43,635 File "/opt/bwhpc/common/jupyter/tensorflow/2023-10-10/lib/python3.9/site-packages/pip/_internal/cli/req_command.py", line 248, in wrapper -2024-01-23T17:21:43,635 return func(self, options, args) -2024-01-23T17:21:43,635 File "/opt/bwhpc/common/jupyter/tensorflow/2023-10-10/lib/python3.9/site-packages/pip/_internal/commands/install.py", line 342, in run -2024-01-23T17:21:43,635 reqs = self.get_requirements(args, options, finder, session) -2024-01-23T17:21:43,635 File "/opt/bwhpc/common/jupyter/tensorflow/2023-10-10/lib/python3.9/site-packages/pip/_internal/cli/req_command.py", line 464, in get_requirements -2024-01-23T17:21:43,635 raise CommandError( -2024-01-23T17:21:43,635 pip._internal.exceptions.CommandError: You must give at least one requirement to install (see "pip help install") -2024-01-23T17:21:43,750 1 location(s) to search for versions of pip: -2024-01-23T17:21:43,750 * https://pypi.org/simple/pip/ -2024-01-23T17:21:43,751 Fetching project page and analyzing links: https://pypi.org/simple/pip/ -2024-01-23T17:21:43,751 Getting page https://pypi.org/simple/pip/ -2024-01-23T17:21:43,751 Found index url https://pypi.org/simple/ -2024-01-23T17:21:43,957 Fetched page https://pypi.org/simple/pip/ as application/vnd.pypi.simple.v1+json -2024-01-23T17:21:43,967 Found link https://files.pythonhosted.org/packages/3d/9d/1e313763bdfb6a48977b65829c6ce2a43eaae29ea2f907c8bbef024a7219/pip-0.2.tar.gz (from https://pypi.org/simple/pip/), version: 0.2 -2024-01-23T17:21:43,967 Found link https://files.pythonhosted.org/packages/18/ad/c0fe6cdfe1643a19ef027c7168572dac6283b80a384ddf21b75b921877da/pip-0.2.1.tar.gz (from https://pypi.org/simple/pip/), version: 0.2.1 -2024-01-23T17:21:43,967 Found link https://files.pythonhosted.org/packages/17/05/f66144ef69b436d07f8eeeb28b7f77137f80de4bf60349ec6f0f9509e801/pip-0.3.tar.gz (from https://pypi.org/simple/pip/), version: 0.3 -2024-01-23T17:21:43,967 Found link https://files.pythonhosted.org/packages/0a/bb/d087c9a1415f8726e683791c0b2943c53f2b76e69f527f2e2b2e9f9e7b5c/pip-0.3.1.tar.gz (from https://pypi.org/simple/pip/), version: 0.3.1 -2024-01-23T17:21:43,967 Found link https://files.pythonhosted.org/packages/cf/c3/153571aaac6cf999f4bb09c019b1ff379b7b599ea833813a41c784eec995/pip-0.4.tar.gz (from https://pypi.org/simple/pip/), version: 0.4 -2024-01-23T17:21:43,967 Found link https://files.pythonhosted.org/packages/8d/c7/f05c87812fa5d9562ecbc5f4f1fc1570444f53c81c834a7f662af406e3c1/pip-0.5.tar.gz (from https://pypi.org/simple/pip/), version: 0.5 -2024-01-23T17:21:43,967 Found link 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