Update app.py

app.py

@@ -13,8 +13,7 @@ from langchain.prompts import PromptTemplate
 from langchain_community.document_loaders import PyPDFLoader
 from langchain_chroma import Chroma
 from langchain_community.vectorstores import Chroma
-# Use a pipeline as a high-level helper
-from transformers import pipeline
+
 
 
 
@@ -64,7 +63,7 @@ def text_splitter(text):
 
 #GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
 #COHERE_API_KEY = os.getenv("COHERE_API_KEY")
-HUGGING_FACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY")
+HUGGINGFACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY")
 
 def get_conversational_chain():
     prompt_template = """
@@ -83,7 +82,7 @@ def get_conversational_chain():
     repo_id ='google/gemma-1.1-2b-it'
     #repo_id='meta-llama/Meta-Llama-3-70B'
     llm = HuggingFaceEndpoint(
-    repo_id=repo_id, max_length=512, temperature=0.3, token=HUGGING_FACE_API_KEY)
+    repo_id=repo_id, max_length=512, temperature=0.3, token=HUGGINGFACE_API_KEY)
     #tokenizer = AutoTokenizer.from_pretrained("google/gemma-1.1-2b-it")
     #llm = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it")