Spaces:
Paused
Paused
Update code_generator.py
Browse files- code_generator.py +8 -3
code_generator.py
CHANGED
|
@@ -2,17 +2,22 @@ import transformers
|
|
| 2 |
from transformers import pipeline
|
| 3 |
|
| 4 |
def generate(idea):
|
| 5 |
-
"""Generates code based on a given idea using the
|
| 6 |
|
| 7 |
Args:
|
| 8 |
idea: The idea for the code to be generated.
|
| 9 |
|
| 10 |
-
|
| 11 |
The generated code as a string.
|
| 12 |
"""
|
| 13 |
-
|
|
|
|
|
|
|
|
|
|
| 14 |
tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
|
| 15 |
|
|
|
|
|
|
|
| 16 |
# Generate the code
|
| 17 |
input_text = f"""
|
| 18 |
# Idea: {idea}
|
|
|
|
| 2 |
from transformers import pipeline
|
| 3 |
|
| 4 |
def generate(idea):
|
| 5 |
+
"""Generates code based on a given idea using the bigscience/T0_3B model.
|
| 6 |
|
| 7 |
Args:
|
| 8 |
idea: The idea for the code to be generated.
|
| 9 |
|
| 10 |
+
Returns:
|
| 11 |
The generated code as a string.
|
| 12 |
"""
|
| 13 |
+
|
| 14 |
+
# Load the code generation model
|
| 15 |
+
model_name = "bigscience/T0_3B" # Use a model that works for code generation
|
| 16 |
+
model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
|
| 17 |
tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
|
| 18 |
|
| 19 |
+
# Generate the code
|
| 20 |
+
|
| 21 |
# Generate the code
|
| 22 |
input_text = f"""
|
| 23 |
# Idea: {idea}
|