Download code/validation/subclaims_extr_valid_check_gpt5.py from shahidul034/readCtrl_lambda: direct link, hf CLI and curl.
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curl -L -o subclaims_extr_valid_check_gpt5.py https://huggingface.co/shahidul034/readCtrl_lambda/resolve/main/code/validation/subclaims_extr_valid_check_gpt5.py
1.97 kB
| from openai import OpenAI | |
| import json, os | |
| with open("/home/mshahidul/readctrl/prompts/subclaims_extraction_vali.txt", "r") as f: | |
| prompt_template = f.read() | |
| api_file = "/home/mshahidul/api_new.json" | |
| with open(api_file, "r") as f: | |
| api_keys = json.load(f) | |
| openai_api_key = api_keys["openai"] | |
| client = OpenAI(api_key=openai_api_key) | |
| def openai_return(prompt, model="gpt-5"): | |
| """Send a prompt to GPT and parse JSON.""" | |
| response = client.chat.completions.create( | |
| model=model, | |
| messages=[ | |
| {"role": "system", "content": "You are a helpful assistant."}, | |
| {"role": "user", "content": prompt} | |
| ] | |
| ) | |
| content = response.choices[0].message.content.strip() | |
| cleaned = content.replace("```json", "").replace("```", "").strip() | |
| try: | |
| return json.loads(cleaned) | |
| except json.JSONDecodeError: | |
| print("⚠️ JSON parse failed — storing raw text.") | |
| return cleaned | |
| with open("/home/mshahidul/readctrl/data/extracting_subclaim/extracted_subclaims_full_data.json", "r") as f: | |
| data = json.load(f) | |
| save_path="/home/mshahidul/readctrl/data/model_validity_check/subclaims_validity_check_v1.json" | |
| res=[] | |
| if os.path.exists(save_path): | |
| with open(save_path, "r") as f: | |
| res = json.load(f) | |
| import tqdm | |
| for i in tqdm.tqdm(range(5)): | |
| for label in ["easy", "intermediate", "hard"]: | |
| new_prompt = prompt_template.replace("<<<TEXT>>>",data[i][f"{label}_text"]).replace("<<<SUBCLAIMS>>>", json.dumps(data[i][f"{label}_subclaims"], indent=2, ensure_ascii=False)) | |
| # import ipdb; ipdb.set_trace() | |
| sample = openai_return(new_prompt, model="gpt-5") | |
| res.append(sample) | |
| if len(res) % 2 == 0: | |
| with open(save_path, "w") as f: | |
| json.dump(res, f, indent=2, ensure_ascii=False) | |
| print(f"Saved {len(res)} samples so far.") | |
| with open(save_path, "w") as f: | |
| json.dump(res, f, indent=2, ensure_ascii=False) | |