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Update app.py
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app.py
CHANGED
@@ -13,6 +13,10 @@ name_list = ['huggingface/lvwerra/codeparrot','huggingface/facebook/incoder-1B',
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open_ai_name = ['openai/code-davinci-002', 'openai/code-cushman-001']
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def generate_code_os(text):
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interfaces = [gr.Interface.load(name) for name in name_list]
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return [interface(text) for interface in interfaces]
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@@ -42,7 +46,9 @@ def generate_code_cs_2(text):
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).choices[0].text
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return response_2
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-
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with gr.Blocks() as demo:
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gr.Markdown("# Compare OpenAI and HuggingFace Code Generators")
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with gr.Box():
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@@ -52,7 +58,11 @@ with gr.Blocks() as demo:
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with gr.Row():
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btn = gr.Button("Open-Source models Generate code brrr ...")
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btn2 = gr.Button("OpenAI models Generate code brrr ...")
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-
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with gr.Column():
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gr.Markdown("Let’s Compare code generators ")
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btn2.click(generate_code_cs_1, inputs = input_text, outputs = [gr.Textbox(label=open_ai_name[_], lines=4) for _ in range(len(open_ai_name))])
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open_ai_name = ['openai/code-davinci-002', 'openai/code-cushman-001']
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examples = [ ["import numpy as np \n from sklearn.ensemble import RandomForestClassifier \n # create training data \n X = np.random.randn(100, 100) y = np.random.randint(0, 1, 100)# setup train test split \n "],
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['def get_file_size(filepath):'],
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]
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def generate_code_os(text):
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interfaces = [gr.Interface.load(name) for name in name_list]
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return [interface(text) for interface in interfaces]
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).choices[0].text
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return response_2
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def set_example(example: list) -> dict:
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return gr.Textbox.update(value=example[0])
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with gr.Blocks() as demo:
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gr.Markdown("# Compare OpenAI and HuggingFace Code Generators")
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with gr.Box():
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with gr.Row():
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btn = gr.Button("Open-Source models Generate code brrr ...")
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btn2 = gr.Button("OpenAI models Generate code brrr ...")
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example_text = gr.Dataset(components=[input_text], samples=examples)
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example_text.click(fn=set_example,
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inputs = example_text,
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outputs= example_text.components)
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with gr.Column():
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gr.Markdown("Let’s Compare code generators ")
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btn2.click(generate_code_cs_1, inputs = input_text, outputs = [gr.Textbox(label=open_ai_name[_], lines=4) for _ in range(len(open_ai_name))])
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