Debugged the unmatched f-string

my_agent/utils/models_loader.py

@@ -27,7 +27,7 @@ class HFEmbeddingAPI:
     def __init__(self, api_url, token):
         self.api_url = api_url
         self.headers = {
-            "Authorization": f"Bearer {os.environ.get("HUGGINGFACEHUB_ACCESS_TOKEN")}",
+            "Authorization": f"Bearer {os.environ.get('HUGGINGFACEHUB_ACCESS_TOKEN')}",
         }
 
     def encode(self, texts):
@@ -45,7 +45,7 @@ class HFEmbeddingAPI:
 # Instantiate your API-backed "SentenceTransformer"
 ST = HFEmbeddingAPI(
     api_url="https://router.huggingface.co/hf-inference/models/mixedbread-ai/mxbai-embed-large-v1/pipeline/feature-extraction",
-    token=os.environ.get("HUGGINGFACEHUB_ACCESS_TOKEN")
+    token=os.environ.get('HUGGINGFACEHUB_ACCESS_TOKEN')
 )
 
 

my_agent/utils/nodes.py

@@ -14,7 +14,7 @@ def caption_image(state: State) -> State:
     if len(state.images)>0:
       if state.images[-1]!=None:
           print('Captioning image')
-          client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+          client = Groq(api_key=os.environ.get('GROQ_API_KEY'))
 
           chat_completion = client.chat.completions.create(
               messages=[

my_agent/utils/utils.py

@@ -60,7 +60,7 @@ def generate_image(final_story):
 
     client = InferenceClient(
         provider="hf-inference",
-        api_key=os.environ.get("HUGGINGFACEHUB_ACCESS_TOKEN"),
+        api_key=os.environ.get('HUGGINGFACEHUB_ACCESS_TOKEN'),
     )
 
     print('************Finished calling generator****************')