Qa5im commited on
Commit
abec1f7
·
1 Parent(s): 965aa47

updated reqs

Browse files
Files changed (3) hide show
  1. Dockerfile +1 -0
  2. requirements.txt +1 -1
  3. server.py +2 -2
Dockerfile CHANGED
@@ -27,6 +27,7 @@ RUN chmod 777 /uploads
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  # Install requirements.txt
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  # RUN conda install ffmpeg
 
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  RUN pip install --no-cache-dir --upgrade -r /requirements.txt
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  # Start the FastAPI app on port 7860, the default port expected by Spaces
 
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  # Install requirements.txt
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  # RUN conda install ffmpeg
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+ RUN pip install --upgrade pip
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  RUN pip install --no-cache-dir --upgrade -r /requirements.txt
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  # Start the FastAPI app on port 7860, the default port expected by Spaces
requirements.txt CHANGED
@@ -133,7 +133,7 @@ ptyprocess==0.7.0
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  pure-eval==0.2.2
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  pyasn1==0.4.8
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  pyasn1-modules==0.2.8
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- # PyAudio==0.2.14
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  pycairo==1.20.1
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  pycodestyle==2.10.0
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  pycparser==2.21
 
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  pure-eval==0.2.2
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  pyasn1==0.4.8
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  pyasn1-modules==0.2.8
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+ PyAudio==0.2.14
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  pycairo==1.20.1
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  pycodestyle==2.10.0
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  pycparser==2.21
server.py CHANGED
@@ -96,8 +96,8 @@ async def predictor(names, file_uploads, usersNum, recordingsNum):
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  except Exception as error:
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  print("An exception occurred:", type(error).__name__)
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  print("Exception details:", error)
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- test_pos_emb = np.array([encoder.embed_speaker(wavs)
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- for wavs in test_pos_wavs.values()])
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  # print("test error ", error)
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  # calculates cosine similarity between the ground truth (test file) and registered audios
 
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  except Exception as error:
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  print("An exception occurred:", type(error).__name__)
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  print("Exception details:", error)
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+ test_pos_emb = np.array([encoder.embed_speaker(wavs)
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+ for wavs in test_pos_wavs.values()])
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  # print("test error ", error)
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  # calculates cosine similarity between the ground truth (test file) and registered audios