Download grid_path/utils.py from aggr8/Percept-V: direct link, hf CLI and curl.
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- Download file 2.39 kB
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https://huggingface.co/datasets/aggr8/Percept-V/resolve/main/grid_path/utils.py
- Command line
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hf download hf://datasets/aggr8/Percept-V/grid_path/utils.py
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curl -L -o utils.py https://huggingface.co/datasets/aggr8/Percept-V/resolve/main/grid_path/utils.py
2.39 kB
| def output_from_text(output_text): | |
| try: | |
| output_text = output_text.split(':') | |
| # print(output_text) | |
| # if len(output_text) < 2: | |
| out_line = output_text[-1].strip() | |
| # else: | |
| # out_line = output_text[-2].strip() | |
| try: | |
| path = [word.strip() for word in out_line.split(",")] | |
| if len(path) >= 2: | |
| return { | |
| "OUTPUT": path, | |
| "ERROR": None | |
| } | |
| else: | |
| path = [word.strip() for word in out_line.split(",")] | |
| if len(path) >= 2: | |
| return { | |
| "OUTPUT": path, | |
| "ERROR": None | |
| } | |
| else: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": "Output file should have last line as path in correct format" | |
| } | |
| except Exception as e: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": f"Unexpected error while parsing {str(e)}\n" | |
| } | |
| except Exception as e: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": f"Unexpected error while parsing {str(e)}\n" | |
| } | |
| import os | |
| import json | |
| def gold_to_output(i): | |
| gold_output = None | |
| try: | |
| #get directory of this file | |
| dir_of_file = os.path.dirname(os.path.realpath(__file__)) | |
| #open the data file | |
| with open(dir_of_file + "\data.json") as f: | |
| data = json.load(f) | |
| row = data[i] | |
| path = row['gold_output'] | |
| output_prompt = "SHAPES: " + " , ".join(path) | |
| # output_prompt = ",".join(path) | |
| except Exception as e: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": str(e) | |
| } | |
| return { | |
| "OUTPUT": output_prompt, | |
| "ERROR": None | |
| } | |
| # import json | |
| # with open("./answer.json", "r") as f: | |
| # data = json.load(f) | |
| # # print(data[1]) | |
| # for i in data: | |
| # output_text = i["gpt_response"] | |
| # i["Output"] = output_from_text(output_text)["OUTPUT"] | |
| # i["ERROR"] = output_from_text(output_text)["ERROR"] | |
| # #remove OUTPUT key | |
| # # i.pop("OUTPUT") | |
| # with open("./answer.json", "w") as f: | |
| # json.dump(data, f, indent=4) | |
| # print("Output saved to answer.json") |