runtime error

None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. Downloading (…)olve/main/vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] Downloading (…)olve/main/vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 23.0MB/s] Downloading (…)olve/main/merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] Downloading (…)olve/main/merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 98.5MB/s] Downloading (…)/main/tokenizer.json: 0%| | 0.00/1.36M [00:00<?, ?B/s] Downloading (…)/main/tokenizer.json: 100%|██████████| 1.36M/1.36M [00:00<00:00, 56.6MB/s] Downloading (…)lve/main/config.json: 0%| | 0.00/665 [00:00<?, ?B/s] Downloading (…)lve/main/config.json: 100%|██████████| 665/665 [00:00<00:00, 691kB/s] Traceback (most recent call last): File "app.py", line 321, in <module> document_embeddings = compute_doc_embeddings(df[:33]) # Can limit size (eg, df[:10] if run into limit on free-of-charge usage File "app.py", line 169, in compute_doc_embeddings return { File "app.py", line 170, in <dictcomp> idx: get_doc_embedding(r.content.replace("\n", " ")) for idx, r in df.iterrows() # r here refers to each row File "app.py", line 145, in get_doc_embedding return get_embedding(text, DOC_EMBEDDINGS_MODEL) File "app.py", line 129, in get_embedding result = openai.Embedding.create( AttributeError: module 'openai' has no attribute 'Embedding'

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