Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -8,19 +8,24 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
|
|
| 8 |
model = AutoModelForCausalLM.from_pretrained(model_name)
|
| 9 |
|
| 10 |
def generate_response(prompt):
|
| 11 |
-
|
|
|
|
|
|
|
| 12 |
output = model.generate(
|
| 13 |
input_ids,
|
| 14 |
-
|
| 15 |
-
num_return_sequences=1,
|
| 16 |
do_sample=True,
|
| 17 |
top_k=50,
|
| 18 |
top_p=0.95,
|
| 19 |
temperature=0.9,
|
| 20 |
-
pad_token_id=tokenizer.eos_token_id
|
|
|
|
| 21 |
)
|
|
|
|
| 22 |
response = tokenizer.decode(output[0], skip_special_tokens=True)
|
| 23 |
-
|
|
|
|
|
|
|
| 24 |
|
| 25 |
iface = gr.Interface(
|
| 26 |
fn=generate_response,
|
|
|
|
| 8 |
model = AutoModelForCausalLM.from_pretrained(model_name)
|
| 9 |
|
| 10 |
def generate_response(prompt):
|
| 11 |
+
instruction = f"Ответь кратко и ясно на вопрос:\n{prompt.strip()}\nОтвет:"
|
| 12 |
+
input_ids = tokenizer.encode(instruction, return_tensors="pt")
|
| 13 |
+
|
| 14 |
output = model.generate(
|
| 15 |
input_ids,
|
| 16 |
+
max_new_tokens=100,
|
|
|
|
| 17 |
do_sample=True,
|
| 18 |
top_k=50,
|
| 19 |
top_p=0.95,
|
| 20 |
temperature=0.9,
|
| 21 |
+
pad_token_id=tokenizer.eos_token_id,
|
| 22 |
+
eos_token_id=tokenizer.eos_token_id
|
| 23 |
)
|
| 24 |
+
|
| 25 |
response = tokenizer.decode(output[0], skip_special_tokens=True)
|
| 26 |
+
|
| 27 |
+
# Удалим часть промпта из начала
|
| 28 |
+
return response.replace(instruction, "").strip()
|
| 29 |
|
| 30 |
iface = gr.Interface(
|
| 31 |
fn=generate_response,
|