zinoubm commited on
Commit
f3f50da
·
1 Parent(s): d9e6b75

addingng gitignore

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Files changed (3) hide show
  1. .env +0 -7
  2. .gitignore +1 -0
  3. app.py +0 -2
.env DELETED
@@ -1,7 +0,0 @@
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- COLLECTION_NAME=sales_role_play
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- COLLECTION_SIZE=1536
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- QDRANT_PORT=6333
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- QDRANT_HOST=e47c5f9f-b98c-4eda-b28d-062e0cdbebda.eu-central-1-0.aws.cloud.qdrant.io
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- QDRANT_API_KEY=VIO8ss9siM8p48NpLYIhjHVKG4S5sufwFvD8g3AiSnXz_hXwQLi7tQ
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- OPENAI_API_KEY=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
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- OPENAI_ORGANIZATION=org-vzVB2Aj8Ipkxkee7l6w0e2GH
 
 
 
 
 
 
 
 
.gitignore ADDED
@@ -0,0 +1 @@
 
 
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+ .env
app.py CHANGED
@@ -23,7 +23,6 @@ iface = gr.Interface(
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  inputs="text",
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  outputs="text",
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  description="""
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-
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  In this project, Im using Few-Shot Learning as an alternative to Fine-Tuning and Prompt
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  Engineering methods. While Prompt Engineering offers a cost-effective and swift approach
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  for development, it falls short in providing a comprehensive level of instruction
@@ -34,7 +33,6 @@ iface = gr.Interface(
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  Few-Shot Learning elegantly positions itself between these two approaches, offering the
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  best of both worlds. It provides an enticing balance that you might want to explore.
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  Why not give it a try?
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-
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  """,
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  title="Sales Role Play Generator - Few Shots Learning",
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  )
 
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  inputs="text",
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  outputs="text",
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  description="""
 
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  In this project, Im using Few-Shot Learning as an alternative to Fine-Tuning and Prompt
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  Engineering methods. While Prompt Engineering offers a cost-effective and swift approach
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  for development, it falls short in providing a comprehensive level of instruction
 
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  Few-Shot Learning elegantly positions itself between these two approaches, offering the
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  best of both worlds. It provides an enticing balance that you might want to explore.
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  Why not give it a try?
 
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  """,
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  title="Sales Role Play Generator - Few Shots Learning",
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  )