Spaces:
Sleeping
Sleeping
Update main.py
Browse files
main.py
CHANGED
|
@@ -12,6 +12,7 @@ from langchain_community.utilities import DuckDuckGoSearchAPIWrapper
|
|
| 12 |
|
| 13 |
|
| 14 |
|
|
|
|
| 15 |
API_URL0 = "https://api-inference.huggingface.co/models/sentence-transformers/multi-qa-MiniLM-L6-cos-v1"
|
| 16 |
API_URL1 = "https://api-inference.huggingface.co/models/sentence-transformers/all-mpnet-base-v2"
|
| 17 |
API_URL2 = "https://api-inference.huggingface.co/models/sentence-transformers/all-roberta-large-v1"
|
|
@@ -50,12 +51,11 @@ async def server_1():
|
|
| 50 |
query_sentence = "Obama's first name"
|
| 51 |
duck_results = []
|
| 52 |
try:
|
| 53 |
-
searchduck = DuckDuckGoSearchResults(output_format="list" ,max_results=
|
| 54 |
duck_results = searchduck.invoke(query_sentence)
|
| 55 |
except:
|
| 56 |
print("An exception occurred")
|
| 57 |
-
|
| 58 |
-
|
| 59 |
|
| 60 |
tool = Tool(
|
| 61 |
name="google_search",
|
|
@@ -94,7 +94,7 @@ async def server_1():
|
|
| 94 |
response1 = requests.post(API_URL1, headers=headers, json=payload)
|
| 95 |
response2 = requests.post(API_URL2, headers=headers, json=payload)
|
| 96 |
response3 = requests.post(API_URL3, headers=headers, json=payload)
|
| 97 |
-
|
| 98 |
print("type( response0.json() )")
|
| 99 |
print(type( response0.json() ))
|
| 100 |
print(type( response1.json() ))
|
|
@@ -102,13 +102,35 @@ async def server_1():
|
|
| 102 |
print(type( response3.json() ))
|
| 103 |
if type(response0.json()) == list and type(response1.json()) == list and type(response2.json()) == list and type(response3.json()) == list :
|
| 104 |
similarity_scores = response0.json() + response1.json() + response2.json() + response3.json()
|
|
|
|
| 105 |
else:
|
| 106 |
similarity_scores = "There's an error in llm similarity search retrieval"
|
| 107 |
-
return
|
| 108 |
|
| 109 |
time.sleep(4)
|
| 110 |
-
|
| 111 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 112 |
print("length")
|
| 113 |
print(len(similarity_scores))
|
| 114 |
key_index = 0
|
|
@@ -124,13 +146,13 @@ async def server_1():
|
|
| 124 |
print(value_inlist)
|
| 125 |
print("index ")
|
| 126 |
print(key_index)
|
| 127 |
-
if key_index <=
|
| 128 |
resp_list0.append(value_inlist)
|
| 129 |
-
if key_index <=
|
| 130 |
resp_list1.append(value_inlist)
|
| 131 |
-
if key_index <=
|
| 132 |
resp_list2.append(value_inlist)
|
| 133 |
-
if key_index <=
|
| 134 |
resp_list3.append(value_inlist)
|
| 135 |
key_index = key_index + 1
|
| 136 |
|
|
@@ -294,6 +316,204 @@ async def server_1():
|
|
| 294 |
|
| 295 |
else:
|
| 296 |
print("No reliable similarity found by 4 llms")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 297 |
# index_sorted0 = sorted0_with_index[:4]
|
| 298 |
# index_sorted1 = sorted1_with_index[:4]
|
| 299 |
# index_sorted2 = sorted2_with_index[:4]
|
|
@@ -313,15 +533,6 @@ async def server_1():
|
|
| 313 |
# the top 3 indexes must be above .78 similarity score
|
| 314 |
# the top 3 must have occured 4 times or more in combined_indexes
|
| 315 |
|
| 316 |
-
time.sleep(4)
|
| 317 |
-
return all_results
|
| 318 |
-
|
| 319 |
-
|
| 320 |
-
def threadserver():
|
| 321 |
-
print('hi')
|
| 322 |
-
os.system(' ./mxbai-embed-large-v1-f16.llamafile --server --nobrowser')
|
| 323 |
-
|
| 324 |
-
|
| 325 |
-
|
| 326 |
if __name__ == '__main__':
|
| 327 |
app.run(host='0.0.0.0', port=8080)
|
|
|
|
|
|
| 12 |
|
| 13 |
|
| 14 |
|
| 15 |
+
|
| 16 |
API_URL0 = "https://api-inference.huggingface.co/models/sentence-transformers/multi-qa-MiniLM-L6-cos-v1"
|
| 17 |
API_URL1 = "https://api-inference.huggingface.co/models/sentence-transformers/all-mpnet-base-v2"
|
| 18 |
API_URL2 = "https://api-inference.huggingface.co/models/sentence-transformers/all-roberta-large-v1"
|
|
|
|
| 51 |
query_sentence = "Obama's first name"
|
| 52 |
duck_results = []
|
| 53 |
try:
|
| 54 |
+
searchduck = DuckDuckGoSearchResults(output_format="list" ,max_results=5, num_results=5)
|
| 55 |
duck_results = searchduck.invoke(query_sentence)
|
| 56 |
except:
|
| 57 |
print("An exception occurred")
|
| 58 |
+
|
|
|
|
| 59 |
|
| 60 |
tool = Tool(
|
| 61 |
name="google_search",
|
|
|
|
| 94 |
response1 = requests.post(API_URL1, headers=headers, json=payload)
|
| 95 |
response2 = requests.post(API_URL2, headers=headers, json=payload)
|
| 96 |
response3 = requests.post(API_URL3, headers=headers, json=payload)
|
| 97 |
+
varcontinue_similarity = 0
|
| 98 |
print("type( response0.json() )")
|
| 99 |
print(type( response0.json() ))
|
| 100 |
print(type( response1.json() ))
|
|
|
|
| 102 |
print(type( response3.json() ))
|
| 103 |
if type(response0.json()) == list and type(response1.json()) == list and type(response2.json()) == list and type(response3.json()) == list :
|
| 104 |
similarity_scores = response0.json() + response1.json() + response2.json() + response3.json()
|
| 105 |
+
varcontinue_similarity = 1
|
| 106 |
else:
|
| 107 |
similarity_scores = "There's an error in llm similarity search retrieval"
|
| 108 |
+
return similarity_scores
|
| 109 |
|
| 110 |
time.sleep(4)
|
| 111 |
+
result_processed = ""
|
| 112 |
+
## if response is all list
|
| 113 |
+
if varcontinue_similarity == 1 :
|
| 114 |
+
# call processing with 10 google search result or 15 search results
|
| 115 |
+
if len(all_results) == 10 :
|
| 116 |
+
result_processed = process_similarity_10(all_results , similarity_scores )
|
| 117 |
+
if len(all_results) > 10 :
|
| 118 |
+
result_processed = process_similarity_15(all_results , similarity_scores )
|
| 119 |
+
# return all_results
|
| 120 |
+
return result_processed
|
| 121 |
+
|
| 122 |
+
|
| 123 |
+
|
| 124 |
+
def threadserver():
|
| 125 |
+
print('hi')
|
| 126 |
+
os.system(' ./mxbai-embed-large-v1-f16.llamafile --server --nobrowser')
|
| 127 |
+
|
| 128 |
+
|
| 129 |
+
|
| 130 |
+
def process_similarity_15(web_results , similarity_scores):
|
| 131 |
+
|
| 132 |
+
# print(similarity_scores)
|
| 133 |
+
# print(type(similarity_scores))
|
| 134 |
print("length")
|
| 135 |
print(len(similarity_scores))
|
| 136 |
key_index = 0
|
|
|
|
| 146 |
print(value_inlist)
|
| 147 |
print("index ")
|
| 148 |
print(key_index)
|
| 149 |
+
if key_index <= 14 :
|
| 150 |
resp_list0.append(value_inlist)
|
| 151 |
+
if key_index <= 29 and key_index > 14 :
|
| 152 |
resp_list1.append(value_inlist)
|
| 153 |
+
if key_index <= 44 and key_index > 29 :
|
| 154 |
resp_list2.append(value_inlist)
|
| 155 |
+
if key_index <= 59 and key_index > 44 :
|
| 156 |
resp_list3.append(value_inlist)
|
| 157 |
key_index = key_index + 1
|
| 158 |
|
|
|
|
| 316 |
|
| 317 |
else:
|
| 318 |
print("No reliable similarity found by 4 llms")
|
| 319 |
+
|
| 320 |
+
return str( index_sorted0 ) + "," + str( index_sorted1 ) + "," + str( index_sorted2 ) + "," + str( index_sorted3 )
|
| 321 |
+
|
| 322 |
+
|
| 323 |
+
|
| 324 |
+
def process_similarity_10(web_results , similarity_scores):
|
| 325 |
+
|
| 326 |
+
# print(similarity_scores)
|
| 327 |
+
# print(type(similarity_scores))
|
| 328 |
+
print("length")
|
| 329 |
+
print(len(similarity_scores))
|
| 330 |
+
key_index = 0
|
| 331 |
+
#copy + loop to get index
|
| 332 |
+
|
| 333 |
+
r_iterator = 0
|
| 334 |
+
resp_list0 = []
|
| 335 |
+
resp_list1 = []
|
| 336 |
+
resp_list2 = []
|
| 337 |
+
resp_list3 = []
|
| 338 |
+
|
| 339 |
+
for value_inlist in similarity_scores:
|
| 340 |
+
print(value_inlist)
|
| 341 |
+
print("index ")
|
| 342 |
+
print(key_index)
|
| 343 |
+
if key_index <= 9 :
|
| 344 |
+
resp_list0.append(value_inlist)
|
| 345 |
+
if key_index <= 19 and key_index > 9 :
|
| 346 |
+
resp_list1.append(value_inlist)
|
| 347 |
+
if key_index <= 29 and key_index > 19 :
|
| 348 |
+
resp_list2.append(value_inlist)
|
| 349 |
+
if key_index <= 39 and key_index > 29 :
|
| 350 |
+
resp_list3.append(value_inlist)
|
| 351 |
+
key_index = key_index + 1
|
| 352 |
+
|
| 353 |
+
print("The Response list 0 ")
|
| 354 |
+
print(resp_list0)
|
| 355 |
+
print("The Response list 1 ")
|
| 356 |
+
print(resp_list1)
|
| 357 |
+
print("The Response list 2 ")
|
| 358 |
+
print(resp_list2)
|
| 359 |
+
print("The Response list 3 ")
|
| 360 |
+
print(resp_list3)
|
| 361 |
+
# sorted 0 - 3 are sorted lists of score ; we must get their indices which is 0-8 that will be mapped to sentence index
|
| 362 |
+
sorted0 = sorted(resp_list0 , reverse=True)
|
| 363 |
+
sorted1 = sorted(resp_list1 , reverse=True)
|
| 364 |
+
sorted2 = sorted(resp_list2 , reverse=True)
|
| 365 |
+
sorted3 = sorted(resp_list3 , reverse=True)
|
| 366 |
+
|
| 367 |
+
print("the sorted0-3")
|
| 368 |
+
print(sorted0)
|
| 369 |
+
print(sorted1)
|
| 370 |
+
print(sorted2)
|
| 371 |
+
print(sorted3)
|
| 372 |
+
print("end the sorted0-3")
|
| 373 |
+
# Get the index of the sorted list for resp_list0
|
| 374 |
+
|
| 375 |
+
sorted0_with_index = []
|
| 376 |
+
for x in sorted0:
|
| 377 |
+
for y in resp_list0:
|
| 378 |
+
if x == y:
|
| 379 |
+
print("index of sorted0")
|
| 380 |
+
print(resp_list0.index(y))
|
| 381 |
+
if x > 0.90:
|
| 382 |
+
sorted0_with_index.append(resp_list0.index(y))
|
| 383 |
+
print("sorted_with_index")
|
| 384 |
+
print(sorted0_with_index)
|
| 385 |
+
print("sorted0_with_index")
|
| 386 |
+
print(sorted0_with_index)
|
| 387 |
+
sorted1_with_index = []
|
| 388 |
+
for x in sorted1:
|
| 389 |
+
for y in resp_list1:
|
| 390 |
+
if x == y:
|
| 391 |
+
print("index of sorted1")
|
| 392 |
+
print(resp_list1.index(y))
|
| 393 |
+
if y > 0.90:
|
| 394 |
+
sorted1_with_index.append(resp_list1.index(y))
|
| 395 |
+
print("sorted_with_index")
|
| 396 |
+
print(sorted1_with_index)
|
| 397 |
+
|
| 398 |
+
print("sorted1_with_index")
|
| 399 |
+
print(sorted1_with_index)
|
| 400 |
+
|
| 401 |
+
sorted2_with_index = []
|
| 402 |
+
print("b4 for x in sorted2:")
|
| 403 |
+
print("resp_list2:" + str(resp_list2))
|
| 404 |
+
print("sorted:" + str(sorted2))
|
| 405 |
+
for x in sorted2:
|
| 406 |
+
for y in resp_list2:
|
| 407 |
+
if x == y:
|
| 408 |
+
print("index of sorted2")
|
| 409 |
+
print(resp_list2.index(y))
|
| 410 |
+
if y > 0.90:
|
| 411 |
+
sorted2_with_index.append(resp_list2.index(y))
|
| 412 |
+
print("sorted_with_index")
|
| 413 |
+
print(sorted2_with_index)
|
| 414 |
+
|
| 415 |
+
print("sorted2_with_index")
|
| 416 |
+
print(sorted2_with_index)
|
| 417 |
+
sorted3_with_index = []
|
| 418 |
+
print("b4 for x in sorted3:")
|
| 419 |
+
print("resp_list3:" + str(resp_list3))
|
| 420 |
+
for x in sorted3:
|
| 421 |
+
for y in resp_list3:
|
| 422 |
+
if x == y:
|
| 423 |
+
print("index of sorted3")
|
| 424 |
+
print(resp_list3.index(y))
|
| 425 |
+
if y > 0.90:
|
| 426 |
+
sorted3_with_index.append(resp_list3.index(y))
|
| 427 |
+
print("sorted_with_index")
|
| 428 |
+
print(sorted3_with_index)
|
| 429 |
+
|
| 430 |
+
print("sorted0-3_with_index")
|
| 431 |
+
print(sorted0_with_index)
|
| 432 |
+
print(sorted1_with_index)
|
| 433 |
+
print(sorted2_with_index)
|
| 434 |
+
print(sorted3_with_index)
|
| 435 |
+
|
| 436 |
+
index_sorted0 = [] ; index_sorted1 = [] ; index_sorted2 = [] ; index_sorted3 = []
|
| 437 |
+
# lines 158 onwards is about scenario when sorted0_with_index values are greater then .78
|
| 438 |
+
# then combine the top 5 values from each list to get the top 3 of 4 llm
|
| 439 |
+
varcontinue = False
|
| 440 |
+
# we will only continue if each llm has resulted with values greater than .78 & if these llm result list has at least 2
|
| 441 |
+
|
| 442 |
+
if ( len(sorted1_with_index) >= 2 and len(sorted2_with_index) >= 2 and len(sorted3_with_index) >= 2 ) or ( len(sorted0_with_index) >= 2 and len(sorted2_with_index) >= 2 and len(sorted3_with_index) >= 2 ) or ( len(sorted1_with_index) >= 2 and len(sorted0_with_index) >= 2 and len(sorted3_with_index) >= 2 ) or ( len(sorted1_with_index) >= 2 and len(sorted2_with_index) >= 2 and len(sorted0_with_index) >= 2 ):
|
| 443 |
+
# continue variable set to true
|
| 444 |
+
# indent this here # if( check if avarage of each any3 resp_list0-3 average is 0.85 or above ) !!then only continue!!!
|
| 445 |
+
varcontinue = True
|
| 446 |
+
print("continue variable set to true")
|
| 447 |
+
if ( len(sorted0_with_index) >= 2 and len(sorted1_with_index) >= 2 ) or ( len(sorted0_with_index) >= 2 and len(sorted2_with_index) >= 2 ) or ( len(sorted0_with_index) >= 2 and len(sorted3_with_index) >= 2 ) or ( len(sorted1_with_index) >= 2 and len(sorted2_with_index) >= 2 ) or ( len(sorted1_with_index) >= 2 and len(sorted3_with_index) >= 2 ) or ( len(sorted2_with_index) >= 2 and len(sorted3_with_index) >= 2 ):
|
| 448 |
+
# continue variable set to true
|
| 449 |
+
# if( check if avarage of any3 resp_list0-3 average is 0.85 or above )!!then only continue!!!
|
| 450 |
+
varcontinue = True
|
| 451 |
+
print("continue variable set to true")
|
| 452 |
+
|
| 453 |
+
# check if llm 1 - 3 has minimum 3
|
| 454 |
+
|
| 455 |
+
if varcontinue == True:
|
| 456 |
+
if len(sorted0_with_index) < 5 and len(sorted0_with_index) > 0 :
|
| 457 |
+
print("len(sorted0_with_index) < 5 and len(sorted0_with_index) > 0")
|
| 458 |
+
print(len(sorted0_with_index) < 5 and len(sorted0_with_index) > 0)
|
| 459 |
+
print("sorted0_with_index")
|
| 460 |
+
print(sorted0_with_index)
|
| 461 |
+
for x in sorted0_with_index :
|
| 462 |
+
index_sorted0.append(x)
|
| 463 |
+
remaining_padding = 5 - len(index_sorted0)
|
| 464 |
+
while remaining_padding > 0 :
|
| 465 |
+
remaining_padding= remaining_padding - 1
|
| 466 |
+
index_sorted0.append(index_sorted0[0])
|
| 467 |
+
|
| 468 |
+
if len(sorted1_with_index) < 5 and len(sorted1_with_index) > 0 :
|
| 469 |
+
print("len(sorted1_with_index) < 5 and len(sorted1_with_index) > 0")
|
| 470 |
+
print(len(sorted1_with_index) < 5 and len(sorted1_with_index) > 0)
|
| 471 |
+
print("sorted1_with_index")
|
| 472 |
+
print(sorted1_with_index)
|
| 473 |
+
for x in sorted1_with_index :
|
| 474 |
+
index_sorted1.append(x)
|
| 475 |
+
remaining_padding = 5 - len(index_sorted1)
|
| 476 |
+
while remaining_padding > 0 :
|
| 477 |
+
remaining_padding= remaining_padding - 1
|
| 478 |
+
index_sorted1.append(index_sorted1[0])
|
| 479 |
+
|
| 480 |
+
if len(sorted2_with_index) < 5 and len(sorted2_with_index) > 0 :
|
| 481 |
+
print("len(sorted2_with_index) < 5 and len(sorted2_with_index) > 0")
|
| 482 |
+
print(len(sorted2_with_index) < 5 and len(sorted2_with_index) > 0)
|
| 483 |
+
print("sorted2_with_index")
|
| 484 |
+
print(sorted2_with_index)
|
| 485 |
+
for x in sorted2_with_index :
|
| 486 |
+
index_sorted2.append(x)
|
| 487 |
+
remaining_padding = 5 - len(index_sorted2)
|
| 488 |
+
while remaining_padding > 0 :
|
| 489 |
+
remaining_padding= remaining_padding - 1
|
| 490 |
+
index_sorted2.append(index_sorted2[0])
|
| 491 |
+
|
| 492 |
+
if len(sorted3_with_index) < 5 and len(sorted3_with_index) > 0 :
|
| 493 |
+
print("len(sorted3_with_index) < 5 and len(sorted3_with_index) > 0")
|
| 494 |
+
print(len(sorted3_with_index) < 5 and len(sorted3_with_index) > 0)
|
| 495 |
+
print("sorted3_with_index")
|
| 496 |
+
print(sorted3_with_index)
|
| 497 |
+
for x in sorted3_with_index :
|
| 498 |
+
index_sorted3.append(x)
|
| 499 |
+
remaining_padding = 5 - len(index_sorted3)
|
| 500 |
+
while remaining_padding > 0 :
|
| 501 |
+
remaining_padding= remaining_padding - 1
|
| 502 |
+
index_sorted3.append(index_sorted3[0])
|
| 503 |
+
|
| 504 |
+
print("index_sorted0-1")
|
| 505 |
+
print(index_sorted0)
|
| 506 |
+
print(index_sorted1)
|
| 507 |
+
print(index_sorted2)
|
| 508 |
+
print(index_sorted3)
|
| 509 |
+
|
| 510 |
+
|
| 511 |
+
else:
|
| 512 |
+
print("No reliable similarity found by 4 llms")
|
| 513 |
+
|
| 514 |
+
|
| 515 |
+
return str( index_sorted0 ) + "," + str( index_sorted1 ) + "," + str( index_sorted2 ) + "," + str( index_sorted3 )
|
| 516 |
+
|
| 517 |
# index_sorted0 = sorted0_with_index[:4]
|
| 518 |
# index_sorted1 = sorted1_with_index[:4]
|
| 519 |
# index_sorted2 = sorted2_with_index[:4]
|
|
|
|
| 533 |
# the top 3 indexes must be above .78 similarity score
|
| 534 |
# the top 3 must have occured 4 times or more in combined_indexes
|
| 535 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 536 |
if __name__ == '__main__':
|
| 537 |
app.run(host='0.0.0.0', port=8080)
|
| 538 |
+
|