{"repo": "bennyyyyyyyyyyy/thesis-ccu", "files": {"Langchain/deepseek.ipynb": {"b1556c6b91d434f343c08bf75220eeec08c1846a": {"t": 1785745497.4762774, "n": 2150, "h": "f02ce3a05916d084", "c": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"de7cacc9\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from langchain_deepseek import ChatDeepSeek\\n\",\n    \"from prompt_use import llms_prompt_zero_shot_cot\\n\",\n    \"from sentiment_esg_use import sentiment_esg_run\\n\",\n    \"from content_sentence_use import content_sentence_run\\n\",\n    \"from dotenv import load_dotenv\\n\",\n    \"import os\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"id\": \"f66932c5\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"load_dotenv()\\n\",\n    \"api_key = os.environ.get(\\\"DEEPSEEK_API_KEY\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"6c698bcf\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"llm = ChatDeepSeek(\\n\",\n    \"    model=\\\"deepseek-chat\\\",  \\n\",\n    \"    temperature=0,\\n\",\n    \"    max_tokens=35\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"bdad96c4\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"article_folder = r\\\"article_chunk_10\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"73d219af\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"['Readability', 'Subjectivity', 'GreenWashing', 'Ambiguity', 'Timeliness']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"c5a49018\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"variable_use = \\\"Timeliness\\\"\\n\",\n    \"\\n\",\n    \"prompt = llms_prompt_zero_shot_cot(variable_use)\\n\",\n    \"\\n\",\n    \"deepseek_chain = prompt | llm\\n\",\n    \"\\n\",\n    \"content_sentence_run(\\\"deepseek\\\", deepseek_chain, article_folder, variable_use, 1, 1)\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"transformer\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.21\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"}, "86a3b3ad217b09c18dfa1bd2009d744c899e0295": {"t": 1785753716.2743015, "n": 2150, "h": "f02ce3a05916d084", "c": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"de7cacc9\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from langchain_deepseek import ChatDeepSeek\\n\",\n    \"from prompt_use import llms_prompt_zero_shot_cot\\n\",\n    \"from sentiment_esg_use import sentiment_esg_run\\n\",\n    \"from content_sentence_use import content_sentence_run\\n\",\n    \"from dotenv import load_dotenv\\n\",\n    \"import os\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"id\": \"f66932c5\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"load_dotenv()\\n\",\n    \"api_key = os.environ.get(\\\"DEEPSEEK_API_KEY\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"6c698bcf\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"llm = ChatDeepSeek(\\n\",\n    \"    model=\\\"deepseek-chat\\\",  \\n\",\n    \"    temperature=0,\\n\",\n    \"    max_tokens=35\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"bdad96c4\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"article_folder = r\\\"article_chunk_10\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"73d219af\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"['Readability', 'Subjectivity', 'GreenWashing', 'Ambiguity', 'Timeliness']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"c5a49018\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"variable_use = \\\"Timeliness\\\"\\n\",\n    \"\\n\",\n    \"prompt = llms_prompt_zero_shot_cot(variable_use)\\n\",\n    \"\\n\",\n    \"deepseek_chain = prompt | llm\\n\",\n    \"\\n\",\n    \"content_sentence_run(\\\"deepseek\\\", deepseek_chain, article_folder, variable_use, 1, 1)\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"transformer\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.21\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"}}}}