KarthickAdopleAI commited on
Commit
9b2ab2a
·
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1 Parent(s): d466cf2

Update app.py

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Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -52,7 +52,7 @@ class KeyValueExtractor:
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  """
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  self.model = "facebook/bart-large-mnli"
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  self.client = AzureOpenAI(api_key=os.getenv("AZURE_OPENAI_KEY"),
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- api_version="2023-07-01-preview",
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  azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
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  )
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@@ -111,7 +111,7 @@ class KeyValueExtractor:
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  # Load the summarization chain using the ChatOpenAI language model
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  chain = load_summarize_chain(
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- llm = AzureChatOpenAI(azure_deployment = "GPT-3"),
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  chain_type="refine",
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  question_prompt=prompt,
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  refine_prompt=refine_prompt,
@@ -135,7 +135,7 @@ class KeyValueExtractor:
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  # Call OpenAI GPT-3.5-turbo
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  chat_completion = self.client.chat.completions.create(
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- model = "GPT-3",
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  messages = conversation,
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  max_tokens=1000,
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  temperature=0
@@ -173,7 +173,7 @@ class KeyValueExtractor:
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  # Call OpenAI GPT-3.5-turbo
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  chat_completion = self.client.chat.completions.create(
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- model = "GPT-3",
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  messages = conversation,
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  max_tokens=1000,
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  temperature=0
@@ -339,7 +339,7 @@ class KeyValueExtractor:
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  # Step 6: Load the summarization chain with Azure ChatGPT
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  chain = load_summarize_chain(
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- llm=AzureChatOpenAI(azure_deployment="GPT-3"),
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  chain_type="refine",
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  question_prompt=prompt,
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  refine_prompt=refine_prompt,
 
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  """
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  self.model = "facebook/bart-large-mnli"
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  self.client = AzureOpenAI(api_key=os.getenv("AZURE_OPENAI_KEY"),
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+ api_version="2024-02-01",
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  azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
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  )
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  # Load the summarization chain using the ChatOpenAI language model
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  chain = load_summarize_chain(
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+ llm = AzureChatOpenAI(azure_deployment = "GPT-4o"),
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  chain_type="refine",
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  question_prompt=prompt,
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  refine_prompt=refine_prompt,
 
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  # Call OpenAI GPT-3.5-turbo
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  chat_completion = self.client.chat.completions.create(
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+ model = "GPT-4o",
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  messages = conversation,
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  max_tokens=1000,
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  temperature=0
 
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  # Call OpenAI GPT-3.5-turbo
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  chat_completion = self.client.chat.completions.create(
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+ model = "GPT-4o",
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  messages = conversation,
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  max_tokens=1000,
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  temperature=0
 
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  # Step 6: Load the summarization chain with Azure ChatGPT
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  chain = load_summarize_chain(
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+ llm=AzureChatOpenAI(azure_deployment="GPT-4o"),
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  chain_type="refine",
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  question_prompt=prompt,
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  refine_prompt=refine_prompt,