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Update app.py
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app.py
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from transformers import pipeline, Conversation
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import gradio as gr
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import os
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from getpass import getpass
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model = os.getenv('bigcode/starcoder')
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chatbot = pipeline(task="text-generation")
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message_list = []
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response_list = []
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def YourCoder_chatbot(message, history):
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chatbot.launch()
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# from transformers import pipeline, Conversation
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# import gradio as gr
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# import os
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# from getpass import getpass
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# model = os.getenv('bigcode/starcoder')
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# chatbot = pipeline(task="text-generation")
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# message_list = []
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# response_list = []
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# def YourCoder_chatbot(message, history):
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# python_code_examples = f"""
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# ---------------------
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# Example 1: Code Snippet
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# def calculate_average(numbers):
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# total = 0
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# for number in numbers:
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# total += number
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# average = total / len(numbers)
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# return average
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# Code Review: Consider using the sum() function to calculate the total sum of the numbers
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# instead of manually iterating over the list.
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# This would make the code more concise and efficient.
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# ---------------------
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# Example 2: Code Snippet
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# def find_largest_number(numbers):
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# largest_number = numbers[0]
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# for number in numbers:
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# if number > largest_number:
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# largest_number = number
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# return largest_number
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# Code Review: Refactor the code using the max() function to find the largest number in the list.
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# This would simplify the code and improve its readability.
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# ---------------------
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# """
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# prompt = f"""
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# I will provide you with code snippets,
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# and you will review them for potential issues and suggest improvements.
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# Please focus on providing concise and actionable feedback, highlighting areas
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# that could benefit from refactoring, optimization, or bug fixes.
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# Your feedback should be constructive and aim to enhance the overall quality and maintainability of the code.
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# Please avoid providing explanations for your suggestions unless specifically requested. Instead, focus on clearly identifying areas for improvement and suggesting alternative approaches or solutions.
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# Few good examples of Python code output between #### separator:
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# ####
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# {python_code_examples}
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# ####
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# Code Snippet is shared below, delimited with triple backticks:
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# ```
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# {message}
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# ```
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# """
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# conversation = chatbot(prompt)
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# return conversation[0]['generated_text']
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# chatbot = gr.ChatInterface(YourCoder_chatbot, title="YourCoder Chatbot", description="Enter piece of code to generate a code review!")
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# chatbot.launch()
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import gradio as gr
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gr.load("models/bigcode/starcoder").launch()
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