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Update app.py
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app.py
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@@ -1,8 +1,9 @@
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import gradio as gr
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from transformers import pipeline
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# Load a
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# Function to generate code
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def generate_code(prompt, file_type):
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# Handle programming language code generation
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prompt_with_file_type = f"Write a {file_type} code for: {prompt}"
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# Generate code using the
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generated_code = code_generator(prompt_with_file_type, max_length=200, num_return_sequences=1)
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return generated_code[0]['generated_text']
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# Combine the existing code and the update prompt
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prompt_with_update = f"Rewrite the following code to: {update_prompt}\n\nExisting Code:\n{existing_code}"
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# Generate updated code using the
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updated_code = code_generator(prompt_with_update, max_length=200, num_return_sequences=1)
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return updated_code[0]['generated_text']
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import gradio as gr
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from transformers import pipeline
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# Load a custom model (replace with your DeepSeek model)
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# Example: Using a Hugging Face model as a placeholder
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code_generator = pipeline("text-generation", model="deepseek-ai/deepseek-coder") # Replace with your DeepSeek model
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# Function to generate code
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def generate_code(prompt, file_type):
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# Handle programming language code generation
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prompt_with_file_type = f"Write a {file_type} code for: {prompt}"
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# Generate code using the custom model
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generated_code = code_generator(prompt_with_file_type, max_length=200, num_return_sequences=1)
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return generated_code[0]['generated_text']
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# Combine the existing code and the update prompt
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prompt_with_update = f"Rewrite the following code to: {update_prompt}\n\nExisting Code:\n{existing_code}"
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# Generate updated code using the custom model
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updated_code = code_generator(prompt_with_update, max_length=200, num_return_sequences=1)
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return updated_code[0]['generated_text']
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