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4fed321
1
Parent(s):
ae9b65c
Update app.py
Browse files
app.py
CHANGED
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@@ -67,7 +67,7 @@ class Resume_Overall:
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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT",
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-
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max_tokens=200,
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temperature=0,
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n=1,
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@@ -94,7 +94,7 @@ class Resume_Overall:
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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT",
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-
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max_tokens=200,
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temperature=0,
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n=1,
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@@ -123,7 +123,7 @@ class Resume_Overall:
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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT", # Choose the GPT-3 engine you want to use
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-
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max_tokens=100, # Set the maximum number of tokens in the generated response
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temperature=0, # Controls the randomness of the output. Higher values = more random, lower values = more focused
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n=1, # Generate a single response
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@@ -143,7 +143,7 @@ class Resume_Overall:
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT",
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-
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max_tokens=100,
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temperature=0,
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n=1,
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@@ -176,7 +176,7 @@ class Resume_Overall:
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT", # Choose the GPT-3 engine you want to use
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-
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max_tokens=500, # Set the maximum number of tokens in the generated response
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temperature=0.5, # Controls the randomness of the output. Higher values = more random, lower values = more focused
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)
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@@ -203,7 +203,7 @@ class Resume_Overall:
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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT", # Choose the GPT-3 engine you want to use
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-
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max_tokens=200, # Set the maximum number of tokens in the generated response
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temperature=0, # Controls the randomness of the output. Higher values = more random, lower values = more focused
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n=1, # Generate a single response
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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT",
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messages = conversation,
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max_tokens=200,
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temperature=0,
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n=1,
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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT",
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messages = conversation,
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max_tokens=200,
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temperature=0,
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n=1,
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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT", # Choose the GPT-3 engine you want to use
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messages = conversation,
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max_tokens=100, # Set the maximum number of tokens in the generated response
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temperature=0, # Controls the randomness of the output. Higher values = more random, lower values = more focused
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n=1, # Generate a single response
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT",
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messages = conversation,
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max_tokens=100,
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temperature=0,
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n=1,
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT", # Choose the GPT-3 engine you want to use
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messages = conversation,
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max_tokens=500, # Set the maximum number of tokens in the generated response
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temperature=0.5, # Controls the randomness of the output. Higher values = more random, lower values = more focused
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)
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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "ChatGPT", # Choose the GPT-3 engine you want to use
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messages = conversation,
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max_tokens=200, # Set the maximum number of tokens in the generated response
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temperature=0, # Controls the randomness of the output. Higher values = more random, lower values = more focused
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n=1, # Generate a single response
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