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Update app.py
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app.py
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@@ -3,6 +3,7 @@ import json
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import gradio as gr
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# Ensure the environment has access to a CUDA-capable GPU
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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@@ -55,6 +56,7 @@ def generate_synthetic_math_problems(num_problems):
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return problems
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def solve_problem(problem):
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print(f"Solving problem: {problem}")
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with torch.no_grad():
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@@ -76,6 +78,7 @@ def solve_problem(problem):
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print(f"Problem: {problem}, Answer: {answer}")
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return answer
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def generate_and_solve_problems(num_problems):
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problems = generate_synthetic_math_problems(num_problems)
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solved_problems = []
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@@ -103,4 +106,4 @@ iface = gr.Interface(
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description="Generate and solve synthetic math problems using a HuggingFace model."
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)
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iface.launch()
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import gradio as gr
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import spaces # Import the spaces module for ZeroGPU compatibility
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# Ensure the environment has access to a CUDA-capable GPU
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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return problems
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@spaces.GPU(duration=60)
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def solve_problem(problem):
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print(f"Solving problem: {problem}")
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with torch.no_grad():
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print(f"Problem: {problem}, Answer: {answer}")
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return answer
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@spaces.GPU(duration=120)
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def generate_and_solve_problems(num_problems):
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problems = generate_synthetic_math_problems(num_problems)
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solved_problems = []
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description="Generate and solve synthetic math problems using a HuggingFace model."
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)
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iface.launch()
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