Xhaheen commited on
Commit
c7a0e20
1 Parent(s): 3e76feb

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +15 -7
app.py CHANGED
@@ -1,11 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
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  import torch
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  import re
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  import gradio as gr
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  from transformers import AutoTokenizer, ViTFeatureExtractor, VisionEncoderDecoderModel
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  import cohere
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  import os
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-
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-
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  key_srkian = os.environ["key_srkian"]
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  co = cohere.Client(key_srkian)#srkian
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  device='cpu'
@@ -49,7 +60,7 @@ def predict(department,image,max_length=64, num_beams=4):
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- output = gr.outputs.Textbox(type="auto",label="Meme")
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  #examples = [f"example{i}.jpg" for i in range(1,7)]
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  #examples = os.listdir()
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  examples = [f"example{i}.png" for i in range(1,7)]
@@ -81,7 +92,4 @@ interface = gr.Interface(
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  description=description,
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  article = article,
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  )
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- interface.launch(debug=True)
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-
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-
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- # c0here2022
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+ # %%bash
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+
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+ # # git lfs install
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+ # # git clone https://huggingface.co/spaces/Xhaheen/meme_world
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+
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+
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+ # # pip install -r /content/meme_world/requirements.txt
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+ # # pip install gradio
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+ # cd /meme_world
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+
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+
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  import torch
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  import re
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  import gradio as gr
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  from transformers import AutoTokenizer, ViTFeatureExtractor, VisionEncoderDecoderModel
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  import cohere
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  import os
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+ #
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+ # os.environ['key_srkian'] = ''
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  key_srkian = os.environ["key_srkian"]
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  co = cohere.Client(key_srkian)#srkian
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  device='cpu'
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+ output = gr.outputs.Textbox(type="text",label="Meme")
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  #examples = [f"example{i}.jpg" for i in range(1,7)]
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  #examples = os.listdir()
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  examples = [f"example{i}.png" for i in range(1,7)]
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  description=description,
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  article = article,
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  )
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+ interface.launch(debug=True)