update req

app.py

@@ -35,7 +35,7 @@ def embed_bert_cls(text, model=model, tokenizer=tokenizer):
     return embeddings[0].cpu().squeeze()
 
 # Load embeddings
-embeddings = np.loadtxt('models/embeddings.txt')
+embeddings = np.loadtxt('embeddings.txt')
 embeddings_tensor = [torch.tensor(embedding) for embedding in embeddings]
 
 # Create Faiss index

requirements.txt

@@ -0,0 +1,56 @@
+altair==5.3.0
+attrs==23.2.0
+blinker==1.8.2
+cachetools==5.3.3
+certifi==2024.7.4
+charset-normalizer==3.3.2
+click==8.1.7
+faiss-cpu==1.8.0.post1
+filelock==3.15.4
+fsspec==2024.6.1
+gitdb==4.0.11
+GitPython==3.1.43
+huggingface-hub==0.23.4
+idna==3.7
+Jinja2==3.1.4
+jsonschema==4.23.0
+jsonschema-specifications==2023.12.1
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+mdurl==0.1.2
+mpmath==1.3.0
+networkx==3.3
+numpy==1.26.4
+packaging==24.1
+pandas==2.2.2
+pillow==10.4.0
+protobuf==5.27.2
+pyarrow==16.1.0
+pydeck==0.9.1
+Pygments==2.18.0
+python-dateutil==2.9.0.post0
+pytz==2024.1
+PyYAML==6.0.1
+referencing==0.35.1
+regex==2024.5.15
+requests==2.32.3
+rich==13.7.1
+rpds-py==0.19.0
+safetensors==0.4.3
+six==1.16.0
+smmap==5.0.1
+streamlit==1.36.0
+sympy==1.13.0
+tenacity==8.5.0
+tokenizers==0.19.1
+toml==0.10.2
+toolz==0.12.1
+torch==2.3.1
+torchaudio==2.3.1
+torchvision==0.18.1
+tornado==6.4.1
+tqdm==4.66.4
+transformers==4.42.4
+typing_extensions==4.12.2
+tzdata==2024.1
+urllib3==2.2.2