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app.py

@@ -13,7 +13,9 @@ import gradio as gr
 import json
 import math
 import requests
-
+from dotenv import load_dotenv, dotenv_values
+# loading variables from .env file
+load_dotenv()
 
 vidOut = "results/results"
 uvqOut = "results/modified_prompts_eval"
@@ -90,7 +92,7 @@ def VBench_eval(vid_filename):
         f'python VBench/evaluate.py --dimension "motion_smoothness"  --videos_path {os.path.join(vidOut, vid_filename)}.mp4 --custom_input --output_filename {vid_filename}'
     )
     eval_file_path = os.path.join(
-         evalOut, f"{vid_filename}_eval_results.json")
+        evalOut, f"{vid_filename}_eval_results.json")
     motion_score = extract_scores_from_json(eval_file_path)
 
     return motion_score
@@ -110,7 +112,7 @@ def interpolation(chosen_idx, fps):
 
 
 def call_gpt_api(prompt, isSentence=False):
-    api_key = "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"
+    api_key = os.getenv("MY_GPT_KEY")
 
     response = requests.post(
         'https://api.openai.com/v1/chat/completions',