Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -1,11 +1,5 @@
|
|
1 |
import gradio as gr
|
2 |
from transformers import AutoModelForCausalLM, AutoTokenizer
|
3 |
-
|
4 |
-
# Load the model and tokenizer
|
5 |
-
model_name = "meta-llama/CodeLlama-7b-hf"
|
6 |
-
model = AutoModelForCausalLM.from_pretrained(model_name)
|
7 |
-
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
8 |
-
|
9 |
import os
|
10 |
|
11 |
# Check if the token is being accessed
|
@@ -15,6 +9,11 @@ if hf_token:
|
|
15 |
else:
|
16 |
print("Failed to retrieve Hugging Face token.")
|
17 |
|
|
|
|
|
|
|
|
|
|
|
18 |
|
19 |
def generate_code(prompt):
|
20 |
inputs = tokenizer(prompt, return_tensors="pt")
|
|
|
1 |
import gradio as gr
|
2 |
from transformers import AutoModelForCausalLM, AutoTokenizer
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
import os
|
4 |
|
5 |
# Check if the token is being accessed
|
|
|
9 |
else:
|
10 |
print("Failed to retrieve Hugging Face token.")
|
11 |
|
12 |
+
# Load the model and tokenizer
|
13 |
+
model_name = "meta-llama/CodeLlama-7b-hf"
|
14 |
+
model = AutoModelForCausalLM.from_pretrained(model_name)
|
15 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
16 |
+
|
17 |
|
18 |
def generate_code(prompt):
|
19 |
inputs = tokenizer(prompt, return_tensors="pt")
|