Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -2,11 +2,10 @@ import gradio as gr
|
|
2 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
3 |
import torch
|
4 |
|
5 |
-
# Load a
|
6 |
-
tokenizer = AutoTokenizer.from_pretrained("
|
7 |
-
model = AutoModelForCausalLM.from_pretrained("
|
8 |
|
9 |
-
# Helper function to generate alternative XPaths
|
10 |
def get_alternative_xpaths(html_structure, original_xpath):
|
11 |
prompt = f"""
|
12 |
Given the following HTML structure and an original XPath, generate alternative XPaths that could help locate the same element if it has changed position.
|
@@ -18,18 +17,15 @@ def get_alternative_xpaths(html_structure, original_xpath):
|
|
18 |
|
19 |
Suggested alternative XPaths:
|
20 |
"""
|
21 |
-
#
|
22 |
inputs = tokenizer(prompt, return_tensors="pt")
|
23 |
outputs = model.generate(inputs['input_ids'], max_length=200, temperature=0.3)
|
24 |
response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
25 |
|
26 |
-
# Process the response to extract XPath suggestions
|
27 |
alternative_xpaths = response_text.strip().split('\n')
|
28 |
return alternative_xpaths
|
29 |
|
30 |
-
# Gradio interface function for self-healing XPath
|
31 |
def locate_element_with_self_healing(html_structure, original_xpath):
|
32 |
-
# Simulate the failure to find an element and ask for alternatives
|
33 |
print("Original XPath failed. Attempting to heal...")
|
34 |
alternative_xpaths = get_alternative_xpaths(html_structure, original_xpath)
|
35 |
|
@@ -38,7 +34,6 @@ def locate_element_with_self_healing(html_structure, original_xpath):
|
|
38 |
"alternative_xpaths": alternative_xpaths
|
39 |
}
|
40 |
|
41 |
-
# Define Gradio interface
|
42 |
interface = gr.Interface(
|
43 |
fn=locate_element_with_self_healing,
|
44 |
inputs=[
|
@@ -52,5 +47,4 @@ interface = gr.Interface(
|
|
52 |
description="This tool provides alternative XPaths if the original XPath is not found in the given HTML structure."
|
53 |
)
|
54 |
|
55 |
-
# Launch the Gradio interface
|
56 |
interface.launch()
|
|
|
2 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
3 |
import torch
|
4 |
|
5 |
+
# Load a publicly accessible model
|
6 |
+
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-2.7B")
|
7 |
+
model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-neo-2.7B")
|
8 |
|
|
|
9 |
def get_alternative_xpaths(html_structure, original_xpath):
|
10 |
prompt = f"""
|
11 |
Given the following HTML structure and an original XPath, generate alternative XPaths that could help locate the same element if it has changed position.
|
|
|
17 |
|
18 |
Suggested alternative XPaths:
|
19 |
"""
|
20 |
+
# Generate response
|
21 |
inputs = tokenizer(prompt, return_tensors="pt")
|
22 |
outputs = model.generate(inputs['input_ids'], max_length=200, temperature=0.3)
|
23 |
response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
24 |
|
|
|
25 |
alternative_xpaths = response_text.strip().split('\n')
|
26 |
return alternative_xpaths
|
27 |
|
|
|
28 |
def locate_element_with_self_healing(html_structure, original_xpath):
|
|
|
29 |
print("Original XPath failed. Attempting to heal...")
|
30 |
alternative_xpaths = get_alternative_xpaths(html_structure, original_xpath)
|
31 |
|
|
|
34 |
"alternative_xpaths": alternative_xpaths
|
35 |
}
|
36 |
|
|
|
37 |
interface = gr.Interface(
|
38 |
fn=locate_element_with_self_healing,
|
39 |
inputs=[
|
|
|
47 |
description="This tool provides alternative XPaths if the original XPath is not found in the given HTML structure."
|
48 |
)
|
49 |
|
|
|
50 |
interface.launch()
|