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upd app
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app.py
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@@ -1,25 +1,106 @@
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "flax-community/gpt-
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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tokenizer.pad_token = tokenizer.eos_token
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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start = len(input_ids[0])
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output = model.generate(
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inputs = [
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gr.inputs.Textbox(placeholder="Define a problem here
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]
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gr.Interface(
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generate_solution,
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inputs=inputs,
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outputs=
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title="
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "flax-community/gpt-code-clippy-125M-apps-alldata"
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model = AutoModelForCausalLM.from_pretrained(model_name, from_flax=True)
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tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
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tokenizer.pad_token = tokenizer.eos_token
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def format_input(question, starter_code=""):
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answer_type = "\nUse Call-Based format\n" if starter_code else "\nUse Standard Input format\n"
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return f"\nQUESTION:\n{question}\n{starter_code}\n{answer_type}\nANSWER:\n"
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def format_outputs(text):
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formatted_text =f'''
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<head>
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<link rel="stylesheet"
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href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.0.3/styles/default.min.css">
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<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.0.3/highlight.min.js"></script>
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<script>hljs.initHighlightingOnLoad();</script>
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</head>
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<body>
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<pre><code class="python">{text}</code></pre>
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</body>
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'''
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return formatted_text
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def generate_solution(question, starter_code="", temperature=1., num_beams=1):
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prompt = format_input(question, starter_code)
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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start = len(input_ids[0])
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output = model.generate(
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input_ids,
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max_length=start+200,
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do_sample=True,
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top_p=0.95,
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pad_token_id=tokenizer.pad_token_id,
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early_stopping=True,
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temperature=1.,
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num_beams=int(num_beams),
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no_repeat_ngram_size=None,
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repetition_penalty=None,
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num_return_sequences=None,
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)
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return format_outputs(tokenizer.decode(output[0][start:]).strip())
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_EXAMPLES = [
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[
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"""
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Given a 2D list of size `m * n`. Your task is to find the sum of minimum value in each row.
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For Example:
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```python
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[
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[1, 2, 3, 4, 5], # minimum value of row is 1
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[5, 6, 7, 8, 9], # minimum value of row is 5
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[20, 21, 34, 56, 100] # minimum value of row is 20
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]
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```
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So, the function should return `26` because sum of minimums is as `1 + 5 + 20 = 26`
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""",
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"",
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0.8,
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],
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[
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"""
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# Personalized greeting
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Create a function that gives a personalized greeting. This function takes two parameters: `name` and `owner`.
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""",
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"""
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Use conditionals to return the proper message:
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case| return
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--- | ---
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name equals owner | 'Hello boss'
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otherwise | 'Hello guest'
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def greet(name, owner):
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""",
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0.8,
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]
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]
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inputs = [
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gr.inputs.Textbox(placeholder="Define a problem here...", lines=7),
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gr.inputs.Textbox(placeholder="Provide optional starter code...", lines=3),
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gr.inputs.Slider(0.5, 1.5, 0.1, default=0.8, label="Temperature"),
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gr.inputs.Slider(1,4,1,default=1, label="Beam size")
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]
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outputs = [
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gr.outputs.HTML(label="Solution")
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]
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gr.Interface(
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generate_solution,
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inputs=inputs,
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outputs=outputs,
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title="Code Clippy: Problem Solver",
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examples=_EXAMPLES,
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).launch(share=False)
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