Create app.py

app.py

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+import gradio as gr
+
+demo = gr.Blocks()
+
+#'huggingface/EleutherAI/gpt-neox-20b'
+
+name_list = ['huggingface/facebook/opt-13b', 'huggingface/bigscience/T0pp', 'huggingface/EleutherAI/gpt-j-6B', 'huggingface/gpt2-xl', 'huggingface/EleutherAI/gpt-neo-2.7B']
+
+examples = [#zero-shot 
+            ["Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?\nA: The answer (arabic numerals) is "], 
+            #zero-shot-CoT
+            ["Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?\nA: Let’s think step by step."],
+            #few-shot
+            ["Q: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?\nA: The answer is 11.\nQ: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?\nA:"],
+            #few-shot-CoT
+            ["Q: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?\nA: Roger started with 5 balls. 2 cans of 3 tennis balls each is 6 tennis balls. 5 + 6 = 11. The answer is 11.\nQ:A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?\nA:"],
+            ]
+
+#examples from Figure 1 of the paper                
+                
+def calculator(num1, operation, num2):
+    if operation == "add":
+        return num1 + num2
+    elif operation == "subtract":
+        return num1 - num2
+    elif operation == "multiply":
+        return num1 * num2
+    elif operation == "divide":
+        return num1 / num2
+
+def complete_with_gpt(text):
+    interfaces = [gr.Interface.load(name) for name in name_list]
+    return [interface(text) for interface in interfaces]
+
+def set_example(example: list) -> dict:
+    return gr.Textbox.update(value=example[0]) 
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+            """
+            # Let’s think step by step Is all you need ? 
+            """
+        )
+    with gr.Box():
+        with gr.Row():
+            with gr.Column():
+                input_text = gr.Textbox(label = "Write your riddle here", placeholder="Type here the riddles to see if LM can solve the questions", lines=4)
+                with gr.Row():
+                    btn = gr.Button("Laguage model think brrr")
+                
+                example_text = gr.Dataset(components=[input_text], samples=examples)
+                example_text.click(fn=set_example,
+                                inputs = example_text,
+                                outputs= example_text.components)
+                
+                btn.click(complete_with_gpt, inputs = input_text, outputs = [gr.Textbox(label=name_list[_], lines=4) for _ in range(len(name_list))])
+            
+            with gr.Column():
+                num1 = gr.Number(placeholder="Type here the first number", lines=1)
+                num2 = gr.Number(placeholder="Type here the second number", lines=1)
+                operation = gr.Dropdown(["add", "subtract", "multiply", "divide"], placeholder="Type here the operation", lines=1)
+                with gr.Row():                        
+                    calculate = gr.Button("Calculate")
+                with gr.Column():
+                    calculate.click(calculator, inputs = [num1, operation, num2], outputs = gr.Textbox(label="Result", lines=1))
+
+
+        gr.Markdown(
+                    """
+                    <p style='text-align: center'><a href='https://arxiv.org/abs/2205.11916' target='_blank'>Large Language Models are Zero-Shot Reasoners</a> | <a href='https://github.com/kojima-takeshi188/zero_shot_cot target='_blank'>Github Repo</a></p>
+                    """
+                )
+
+demo.launch()