Update app.py

app.py

@@ -68,7 +68,7 @@ def main():
             # embeddings = OpenAIEmbeddings(
             #     openai_api_key='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')
             # embeddings = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
-            embeddings = HuggingFaceHubEmbeddings()
+            embeddings = HuggingFaceHubEmbeddings(huggingfacehub_api_token='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')
             VectorStore = FAISS.from_texts(chunks, embedding=embeddings)
             # VectorStore=Chroma.from_documents(chunks, embeddings)
             with open(f"{store_name}.pkl", "wb") as f:
@@ -84,7 +84,7 @@ def main():
         if query:
             docs = VectorStore.similarity_search(query=query, k=3)
             llm = HuggingFaceHub(repo_id='OpenAssistant/oasst-sft-1-pythia-12b',
-                                 huggingfacehub_api_token='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', model_kwargs={"temperature": 0.1, "max_new_tokens": 250})
+                                 token='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', model_kwargs={"temperature": 0.1, "max_new_tokens": 250})
             # llm = OpenAI()
             chain = load_qa_chain(llm=llm, chain_type="stuff")
             response = chain.run(input_documents=docs, question=query)