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Update app.py
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app.py
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from fpdf import FPDF
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import torch
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import spaces
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import markdown
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# Initialize the Qwen model and tokenizer
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model_name = "Qwen/Qwen2.5-Coder-7B-Instruct"
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generated_ids = [output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)]
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documentation = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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print(documentation)
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return
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# Function to generate and download PDF
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def create_pdf(documentation):
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pdf = FPDF()
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pdf.set_auto_page_break(auto=True, margin=15)
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(200, 10, documentation)
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# Create a bytes buffer and output the PDF to it
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buffer = io.BytesIO()
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pdf.output(buffer)
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buffer.seek(0)
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return buffer
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# Gradio interface
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def process_code(code_input):
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documentation = generate_documentation(code_input)
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return documentation, pdf_path
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# Set up the Gradio app with Bootstrap, icons, and smiley
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with gr.Blocks(css=".container { font-family: 'Roboto', sans-serif; } .btn-primary { background-color: #007bff; } .icon { margin-right: 10px; }") as app:
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gr.Markdown("""
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#Code Documentation Generator
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Paste your code below, and the app will generate the
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The output will also be available for download as a PDF.
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""")
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with gr.Row():
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generate_button = gr.Button("Generate Documentation", elem_classes="btn btn-primary")
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with gr.Row():
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output_text = gr.
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download_pdf = gr.File(label="Download PDF", file_types=[".pdf"])
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# Bind function to button click
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generate_button.click(process_code, inputs=code_input, outputs=
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# Launch the Gradio app
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app.launch()
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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import spaces
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# Initialize the Qwen model and tokenizer
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model_name = "Qwen/Qwen2.5-Coder-7B-Instruct"
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generated_ids = [output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)]
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documentation = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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print(documentation)
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return documentation
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# Gradio interface
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def process_code(code_input):
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documentation = generate_documentation(code_input)
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return documentation
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# Set up the Gradio app with Bootstrap, icons, and smiley
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with gr.Blocks(css=".container { font-family: 'Roboto', sans-serif; } .btn-primary { background-color: #007bff; } .icon { margin-right: 10px; }") as app:
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gr.Markdown("""
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#Code Documentation Generator
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Paste your code below, and the app will generate the Documentation for you.
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""")
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with gr.Row():
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generate_button = gr.Button("Generate Documentation", elem_classes="btn btn-primary")
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with gr.Row():
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output_text = gr.Markdown()
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# Bind function to button click
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generate_button.click(process_code, inputs=code_input, outputs=output_text)
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# Launch the Gradio app
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app.launch()
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