Update app.py

app.py

@@ -8,18 +8,18 @@ from langchain.chains.question_answering import load_qa_chain
 from langchain.callbacks import get_openai_callback
 from langchain import HuggingFaceHub, LLMChain
 from langchain.embeddings import HuggingFaceHubEmbeddings,HuggingFaceInferenceAPIEmbeddings
-token = os.environ['HF_TOKEN']
+# token = os.environ['HF_TOKEN']
 repo_id = "sentence-transformers/all-mpnet-base-v2"
 hf = HuggingFaceHubEmbeddings(
     repo_id=repo_id,
     task="feature-extraction",
-    huggingfacehub_api_token= token,
+    # huggingfacehub_api_token= token,
 )
 
 from langchain.embeddings import HuggingFaceInferenceAPIEmbeddings
 
 embeddings = HuggingFaceInferenceAPIEmbeddings(
-    api_key=token, model_name="sentence-transformers/all-MiniLM-l6-v2"
+    model_name="sentence-transformers/all-MiniLM-l6-v2"
 )
 
 
@@ -63,8 +63,8 @@ def main():
 
         hub_llm = HuggingFaceHub(
         repo_id='HuggingFaceH4/zephyr-7b-beta',
-    model_kwargs={'temperature':0.01,"max_length": 2048,},
-    huggingfacehub_api_token=token)
+    model_kwargs={'temperature':0.01,"max_length": 2048,})
+    # huggingfacehub_api_token=token)
         llm = hub_llm
         chain = load_qa_chain(llm, chain_type="stuff")
         with get_openai_callback() as cb: