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Parent(s):
c393b41
Update app.py
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app.py
CHANGED
@@ -1,41 +1,47 @@
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import openai
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import secrets
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print(secrets.OPENAI_API_KEY)
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# Set up the OpenAI API credentials
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openai.api_key = secrets.OPENAI_API_KEY
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#
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temperature = 0.7
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max_tokens = 100
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response = openai.Completion.create(
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engine=
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prompt=prompt,
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)
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# Extract the corrected code from the API response
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corrected_code = response.choices[0].text.strip()
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return corrected_code
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prompt = input("Enter code to correct: ")
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print(corrected_code)
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import gradio as gr
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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import openai
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import secrets
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# Set up the OpenAI API credentials
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openai.api_key = secrets.OPENAI_API_KEY
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# Load the Hugging Face model and tokenizer
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model_name = "Helsinki-NLP/opus-mt-python-en"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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# Define a function that takes a user's input code as a prompt and uses the OpenAI API and Hugging Face model to generate a corrected version of the code
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def correct_code(prompt):
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# Use the OpenAI API to generate suggestions for fixing syntax errors in the code
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response = openai.Completion.create(
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engine="davinci-codex",
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prompt=prompt,
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max_tokens=1024,
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n=1,
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stop=None,
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temperature=0.5,
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)
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# Extract the corrected code from the API response
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corrected_code = response.choices[0].text.strip()
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# Use the Hugging Face model to generate a more natural-sounding version of the corrected code
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input_ids = tokenizer.encode(corrected_code, return_tensors="pt")
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outputs = model.generate(input_ids)
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corrected_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return corrected_code
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# Define a Gradio interface for the code assistant
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input_text = gr.inputs.Textbox(lines=10, label="Input Code")
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output_text = gr.outputs.Textbox(label="Corrected Code")
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def generate_code(input_text):
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corrected_code = correct_code(input_text)
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return corrected_code
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interface = gr.Interface(fn=generate_code, inputs=input_text, outputs=output_text, title="AI Code Assistant", description="Enter your code and click submit to generate a corrected version.")
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# Run the Gradio interface
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interface.launch()
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