Update app.py
Browse files
app.py
CHANGED
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@@ -66,7 +66,7 @@ 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 = "
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messages = conversation,
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max_tokens=200,
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temperature=0,
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@@ -93,7 +93,7 @@ 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 = "
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messages = conversation,
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max_tokens=200,
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temperature=0,
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@@ -122,7 +122,7 @@ 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 = "
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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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@@ -142,7 +142,7 @@ class Resume_Overall:
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]
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chat_completion = self.client.chat.completions.create(
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model = "
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messages = conversation,
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max_tokens=100,
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temperature=0,
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@@ -175,7 +175,7 @@ class Resume_Overall:
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]
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chat_completion = self.client.chat.completions.create(
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model = "
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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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@@ -202,7 +202,7 @@ 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 = "
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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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# Generate a response from the GPT-3 model
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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=200,
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temperature=0,
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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 = "GPT-3",
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messages = conversation,
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max_tokens=200,
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temperature=0,
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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 = "GPT-3", # 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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]
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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=100,
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temperature=0,
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]
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chat_completion = self.client.chat.completions.create(
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model = "GPT-3", # 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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# Generate a response from the GPT-3 model
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chat_completion = self.client.chat.completions.create(
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model = "GPT-3", # 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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