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| import gradio as gr | |
| from rich.console import Console | |
| from rich.syntax import Syntax | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| # model_name = "flax-community/gpt-code-clippy-1.3B-apps-alldata" | |
| model_name = "flax-community/gpt-code-clippy-125M-apps-alldata" | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| tokenizer.pad_token = tokenizer.eos_token | |
| console = Console(record=True) | |
| def format_input(question, starter_code=""): | |
| answer_type = ( | |
| "\nUse Call-Based format\n" if starter_code else "\nUse Standard Input format\n" | |
| ) | |
| return f"\nQUESTION:\n{question}\n{starter_code}\n{answer_type}\nANSWER:\n" | |
| def format_outputs(text): | |
| formatted_text = Syntax( | |
| text, "python", line_numbers=True, indent_guides=True, word_wrap=True | |
| ) | |
| console.print(formatted_text) | |
| return console.export_html(inline_styles=True) | |
| def generate_solution(question, starter_code="", temperature=1.0, num_beams=1): | |
| prompt = format_input(question, starter_code) | |
| input_ids = tokenizer(prompt, return_tensors="pt").input_ids | |
| start = len(input_ids[0]) | |
| output = model.generate( | |
| input_ids, | |
| max_length=start + 200, | |
| do_sample=True, | |
| top_p=0.95, | |
| pad_token_id=tokenizer.pad_token_id, | |
| early_stopping=True, | |
| temperature=temperature, | |
| num_beams=int(num_beams), | |
| no_repeat_ngram_size=None, | |
| repetition_penalty=None, | |
| num_return_sequences=None, | |
| ) | |
| return format_outputs( | |
| tokenizer.decode(output[0][start:], skip_special_tokens=True).strip() | |
| ) | |
| _EXAMPLES = [ | |
| [ | |
| """ | |
| Given a 2D list of size `m * n`. Your task is to find the sum of minimum value in each row. | |
| For Example: | |
| ```python | |
| [ | |
| [1, 2, 3, 4, 5], # minimum value of row is 1 | |
| [5, 6, 7, 8, 9], # minimum value of row is 5 | |
| [20, 21, 34, 56, 100] # minimum value of row is 20 | |
| ] | |
| ``` | |
| So, the function should return `26` because sum of minimums is as `1 + 5 + 20 = 26` | |
| """, | |
| "", | |
| 0.8, | |
| ], | |
| [ | |
| """ | |
| # Personalized greeting | |
| Create a function that gives a personalized greeting. This function takes two parameters: `name` and `owner`. | |
| """, | |
| """ | |
| Use conditionals to return the proper message: | |
| case| return | |
| --- | --- | |
| name equals owner | 'Hello boss' | |
| otherwise | 'Hello guest' | |
| def greet(name, owner): | |
| """, | |
| 0.8, | |
| ], | |
| ] | |
| inputs = [ | |
| gr.inputs.Textbox(placeholder="Define a problem here...", lines=7), | |
| gr.inputs.Textbox(placeholder="Provide optional starter code...", lines=3), | |
| gr.inputs.Slider(0.5, 1.5, 0.1, default=0.8, label="Temperature"), | |
| gr.inputs.Slider(1, 4, 1, default=1, label="Beam size"), | |
| ] | |
| outputs = [gr.outputs.HTML(label="Solution")] | |
| gr.Interface( | |
| generate_solution, | |
| inputs=inputs, | |
| outputs=outputs, | |
| title="Code Clippy: Problem Solver", | |
| examples=_EXAMPLES, | |
| ).launch(share=False) | |