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Update app.py
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app.py
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@@ -11,15 +11,6 @@ import importlib
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import os
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from transformers import AutoModelForSequenceClassification, pipeline, AutoTokenizer
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# Load the tokenizer explicitly
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tokenizer = AutoTokenizer.from_pretrained("microsoft/CodeGPT-small-py", clean_up_tokenization_spaces=True)
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# Initialize the model
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model = AutoModelForSequenceClassification.from_pretrained("microsoft/CodeGPT-small-py") # Use a public model
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# Initialize the pipeline
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code_generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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# Initialize Flask app
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app = Flask(__name__)
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app.config['SECRET_KEY'] = 'your-secret-key' # Replace with a strong secret key
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@@ -126,6 +117,15 @@ class ExamplePlugin:
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plugin_manager = PluginManager()
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plugin_manager.load_plugins()
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# AI Assistant
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model = AutoModelForSequenceClassification.from_pretrained("microsoft/CodeGPT-small-py")
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codex_pipeline = pipeline("text-generation", model=model)
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import os
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from transformers import AutoModelForSequenceClassification, pipeline, AutoTokenizer
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# Initialize Flask app
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app = Flask(__name__)
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app.config['SECRET_KEY'] = 'your-secret-key' # Replace with a strong secret key
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plugin_manager = PluginManager()
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plugin_manager.load_plugins()
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# Load the tokenizer explicitly
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tokenizer = AutoTokenizer.from_pretrained("microsoft/CodeGPT-small-py", clean_up_tokenization_spaces=True)
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# Initialize the model
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model = AutoModelForSequenceClassification.from_pretrained("microsoft/CodeGPT-small-py") # Use a public model
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# Initialize the pipeline
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code_generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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# AI Assistant
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model = AutoModelForSequenceClassification.from_pretrained("microsoft/CodeGPT-small-py")
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codex_pipeline = pipeline("text-generation", model=model)
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