1 files changed, 33 insertions, 0 deletions
diff --git a/kg_rag/prompt_based_generation/GPT/run_true_false_generation.py b/kg_rag/prompt_based_generation/GPT/run_true_false_generation.py
new file mode 100644
index 0000000..0d248db
--- /dev/null
+++ b/kg_rag/prompt_based_generation/GPT/run_true_false_generation.py
@@ -0,0 +1,33 @@
+from kg_rag.utility import *
+import sys
+
+
+CHAT_MODEL_ID = sys.argv[1]
+
+QUESTION_PATH = config_data["TRUE_FALSE_PATH"]
+SYSTEM_PROMPT = system_prompts["TRUE_FALSE_QUESTION_PROMPT_BASED"]
+SAVE_PATH = config_data["SAVE_RESULTS_PATH"]
+TEMPERATURE = config_data["LLM_TEMPERATURE"]
+
+CHAT_DEPLOYMENT_ID = CHAT_MODEL_ID
+
+save_name = "_".join(CHAT_MODEL_ID.split("-"))+"_prompt_based_one_hop_true_false_binary_response.csv"
+
+
+def main():
+    start_time = time.time()
+    question_df = pd.read_csv(QUESTION_PATH)
+    answer_list = []
+    for index, row in question_df.iterrows():
+        question = "Question: "+ row["text"]
+        output = get_GPT_response(question, SYSTEM_PROMPT, CHAT_MODEL_ID, CHAT_DEPLOYMENT_ID, temperature=TEMPERATURE)
+        answer_list.append((row["text"], row["label"], output))
+    answer_df = pd.DataFrame(answer_list, columns=["question", "label", "llm_answer"])
+    answer_df.to_csv(os.path.join(SAVE_PATH, save_name), index=False, header=True)
+    print("Completed in {} min".format((time.time()-start_time)/60))
+    
+
+
+if __name__ == "__main__":
+    main()
+