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Update app.py
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app.py
CHANGED
@@ -4,7 +4,7 @@ from logger import log_feedback_to_firebase
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import openai
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import os
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openai.api_key = os.environ["OPENAI_API_KEY"] # Add this secret in
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def gpt_predict(goal, sol1, sol2):
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prompt = f"You're solving a commonsense reasoning problem. Choose the better solution to achieve the goal.\n\nGoal: {goal}\n\nOption 1: {sol1}\nOption 2: {sol2}\n\nWhich option is better? Reply with only 'Solution 1' or 'Solution 2'."
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@@ -45,6 +45,9 @@ with gr.Blocks() as demo:
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"> 13M Parameters • Fully Scratch-Trained • Leans Smart\n"
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"> 🧪 *Note: EvoTransformer is a scratch-built model trained on 1K PIQA examples. It may occasionally misinterpret context or idioms. That’s part of its evolution.*"
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)
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with gr.Row():
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goal = gr.Text(label="Goal")
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import openai
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import os
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openai.api_key = os.environ["OPENAI_API_KEY"] # Add this secret in your Hugging Face Space
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def gpt_predict(goal, sol1, sol2):
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prompt = f"You're solving a commonsense reasoning problem. Choose the better solution to achieve the goal.\n\nGoal: {goal}\n\nOption 1: {sol1}\nOption 2: {sol2}\n\nWhich option is better? Reply with only 'Solution 1' or 'Solution 2'."
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"> 13M Parameters • Fully Scratch-Trained • Leans Smart\n"
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"> 🧪 *Note: EvoTransformer is a scratch-built model trained on 1K PIQA examples. It may occasionally misinterpret context or idioms. That’s part of its evolution.*"
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)
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gr.Markdown(
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"> 🔄 *EvoTransformer is not static. Every time you provide feedback, Evo learns and evolves. Welcome to real-time neural evolution.*"
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)
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with gr.Row():
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goal = gr.Text(label="Goal")
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