| | 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)) |
| | |
| | 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) |
| |
|
| |
|