Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -10,15 +10,15 @@ with open("config.txt", "r") as f:
|
|
10 |
key, value = line.strip().split(" = ")
|
11 |
config[key] = value
|
12 |
|
13 |
-
|
14 |
-
repo_type = config
|
15 |
-
token = config
|
16 |
|
17 |
# Utworzenie folderu Hugging Face z tokenem uwierzytelniającym
|
18 |
hf_folder = HfFolder(repo_id, repo_type, token=token)
|
19 |
|
20 |
# Wczytanie własnego modelu chatbota z Hugging Face
|
21 |
-
|
22 |
tokenizer = AutoTokenizer.from_pretrained(model_name, repo_path=hf_folder)
|
23 |
model = AutoModelForCausalLM.from_pretrained(model_name, repo_path=hf_folder)
|
24 |
|
|
|
10 |
key, value = line.strip().split(" = ")
|
11 |
config[key] = value
|
12 |
|
13 |
+
model_name = config.get("repo_id", "")
|
14 |
+
repo_type = config.get("repo_type", "")
|
15 |
+
token = config.get("token", "")
|
16 |
|
17 |
# Utworzenie folderu Hugging Face z tokenem uwierzytelniającym
|
18 |
hf_folder = HfFolder(repo_id, repo_type, token=token)
|
19 |
|
20 |
# Wczytanie własnego modelu chatbota z Hugging Face
|
21 |
+
if model_name == "pp3232133/pp3232133-distilgpt2-wikitext2"
|
22 |
tokenizer = AutoTokenizer.from_pretrained(model_name, repo_path=hf_folder)
|
23 |
model = AutoModelForCausalLM.from_pretrained(model_name, repo_path=hf_folder)
|
24 |
|