Spaces:
Runtime error
Runtime error
Commit
·
3bcc6e5
1
Parent(s):
557995c
Update app.py (#2)
Browse files- Update app.py (fa9ebbc00bb4fb092af22e7266745dc668bfce99)
Co-authored-by: Nusret Ozates <NusretOzates@users.noreply.huggingface.co>
app.py
CHANGED
|
@@ -38,58 +38,19 @@ def get_json(mahalle, il, sokak, apartman):
|
|
| 38 |
return dump
|
| 39 |
|
| 40 |
|
| 41 |
-
def
|
| 42 |
-
eval_result =
|
| 43 |
-
|
| 44 |
-
return
|
| 45 |
-
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
eval_result = str(ast.literal_eval(input)["distinct"])
|
| 55 |
-
|
| 56 |
-
return eval_result
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
def text_dict_street(input):
|
| 60 |
-
eval_result = str(ast.literal_eval(input)["street"])
|
| 61 |
-
|
| 62 |
-
return eval_result
|
| 63 |
-
|
| 64 |
-
|
| 65 |
-
def text_dict_no(input):
|
| 66 |
-
eval_result = str(ast.literal_eval(input)["no"])
|
| 67 |
-
|
| 68 |
-
return eval_result
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
def text_dict_tel(input):
|
| 72 |
-
eval_result = str(ast.literal_eval(input)["tel"])
|
| 73 |
-
|
| 74 |
-
return eval_result
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
def text_dict_name(input):
|
| 78 |
-
eval_result = str(ast.literal_eval(input)["name_surname"])
|
| 79 |
-
return eval_result
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
def text_dict_address(input):
|
| 83 |
-
eval_result = str(ast.literal_eval(input)["address"])
|
| 84 |
-
|
| 85 |
-
return eval_result
|
| 86 |
-
|
| 87 |
-
def text_dict_no(input):
|
| 88 |
-
eval_result = str(ast.literal_eval(input)["no"])
|
| 89 |
-
|
| 90 |
-
return eval_result
|
| 91 |
-
|
| 92 |
-
|
| 93 |
|
| 94 |
def openai_response(ocr_input):
|
| 95 |
prompt = f"""Tabular Data Extraction You are a highly intelligent and accurate tabular data extractor from
|
|
@@ -165,15 +126,7 @@ with gr.Blocks() as demo:
|
|
| 165 |
|
| 166 |
ocr_result.change(openai_response, ocr_result, open_api_text, api_name="upload-text")
|
| 167 |
|
| 168 |
-
open_api_text.change(
|
| 169 |
-
open_api_text.change(text_dict_distinct, [open_api_text], distinct)
|
| 170 |
-
open_api_text.change(text_dict_neighbourhood, [open_api_text], neighbourhood)
|
| 171 |
-
open_api_text.change(text_dict_street, [open_api_text], street)
|
| 172 |
-
open_api_text.change(text_dict_address, [open_api_text], address)
|
| 173 |
-
open_api_text.change(text_dict_tel, [open_api_text], tel)
|
| 174 |
-
open_api_text.change(text_dict_name, [open_api_text], name_surname)
|
| 175 |
-
open_api_text.change(text_dict_no, [open_api_text], no)
|
| 176 |
-
|
| 177 |
|
| 178 |
|
| 179 |
if __name__ == "__main__":
|
|
|
|
| 38 |
return dump
|
| 39 |
|
| 40 |
|
| 41 |
+
def text_dict(input):
|
| 42 |
+
eval_result = ast.literal_eval(input)
|
| 43 |
+
|
| 44 |
+
return (
|
| 45 |
+
str(eval_result['city']),
|
| 46 |
+
str(eval_result['distinct']),
|
| 47 |
+
str(eval_result['neighbourhood']),
|
| 48 |
+
str(eval_result['street']),
|
| 49 |
+
str(eval_result['address']),
|
| 50 |
+
str(eval_result['tel']),
|
| 51 |
+
str(eval_result['name_surname']),
|
| 52 |
+
str(eval_result['no']),
|
| 53 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 54 |
|
| 55 |
def openai_response(ocr_input):
|
| 56 |
prompt = f"""Tabular Data Extraction You are a highly intelligent and accurate tabular data extractor from
|
|
|
|
| 126 |
|
| 127 |
ocr_result.change(openai_response, ocr_result, open_api_text, api_name="upload-text")
|
| 128 |
|
| 129 |
+
open_api_text.change(text_dict, open_api_text, [city, distinct, neighbourhood, street, address, tel, name_surname, no])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 130 |
|
| 131 |
|
| 132 |
if __name__ == "__main__":
|