Anni123
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7ead7d1
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Duplicate from Anni123/CoT-Adapter
Browse files- .gitattributes +35 -0
- README.md +13 -0
- app.py +49 -0
- requirements.txt +4 -0
.gitattributes
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README.md
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---
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title: Cot Adapter
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emoji: 👁
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colorFrom: purple
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colorTo: gray
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sdk: gradio
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sdk_version: 3.35.2
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app_file: app.py
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pinned: false
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duplicated_from: Anni123/CoT-Adapter
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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from statistics import mean
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from torch.utils.data import Dataset
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from collections import OrderedDict
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import xml.etree.ElementTree as ET
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import openai # For GPT-3 API ...
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import os
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import multiprocessing
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import json
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import numpy as np
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import random
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import torch
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import torchtext
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import re
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import random
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import time
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import datetime
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import pandas as pd
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import sys
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openai.api_key = os.getenv("api_key")
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def greet(question):
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input = question + '\n\n' + "|step|subquestion|process|result|"
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "You are a helpful assistant that generate table to solve reasoning problem."},
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{"role": "user", "content": input},
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]
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)
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response = response["choices"][0]["message"]["content"]
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return "|step|subquestion|process|result|\n" + response
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iface = gr.Interface(
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fn=greet,
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inputs="text",
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outputs="text",
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title="Tab-CoT: Zero-Shot Tabular Chain-of-Thought",
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examples=[
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["Tommy is fundraising for his charity by selling brownies for $3 a slice and cheesecakes for $4 a slice. If Tommy sells 43 brownies and 23 slices of cheesecake, how much money does Tommy raise?"],
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["Judy teaches 5 dance classes, every day, on the weekdays and 8 classes on Saturday. If each class has 15 students and she charges $15.00 per student, how much money does she make in 1 week?"],
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["According to its nutritional info, a bag of chips has 250 calories per serving. If a 300g bag has 5 servings, how many grams can you eat if your daily calorie target is 2000 and you have already consumed 1800 calories?"],
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]
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)
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iface.launch()
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requirements.txt
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openai==0.27.0
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torch==1.13.1
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pandas==1.5.2
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torchtext==0.14.1
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