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Update main.py
Browse files
main.py
CHANGED
@@ -12,6 +12,7 @@ from langchain_community.utilities import DuckDuckGoSearchAPIWrapper
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API_URL0 = "https://api-inference.huggingface.co/models/sentence-transformers/multi-qa-MiniLM-L6-cos-v1"
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API_URL1 = "https://api-inference.huggingface.co/models/sentence-transformers/all-mpnet-base-v2"
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API_URL2 = "https://api-inference.huggingface.co/models/sentence-transformers/all-roberta-large-v1"
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@@ -50,12 +51,11 @@ async def server_1():
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query_sentence = "Obama's first name"
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duck_results = []
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try:
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-
searchduck = DuckDuckGoSearchResults(output_format="list" ,max_results=
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duck_results = searchduck.invoke(query_sentence)
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except:
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print("An exception occurred")
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tool = Tool(
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name="google_search",
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@@ -94,7 +94,7 @@ async def server_1():
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response1 = requests.post(API_URL1, headers=headers, json=payload)
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response2 = requests.post(API_URL2, headers=headers, json=payload)
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response3 = requests.post(API_URL3, headers=headers, json=payload)
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print("type( response0.json() )")
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print(type( response0.json() ))
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print(type( response1.json() ))
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@@ -102,13 +102,35 @@ async def server_1():
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print(type( response3.json() ))
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if type(response0.json()) == list and type(response1.json()) == list and type(response2.json()) == list and type(response3.json()) == list :
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similarity_scores = response0.json() + response1.json() + response2.json() + response3.json()
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else:
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similarity_scores = "There's an error in llm similarity search retrieval"
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return
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time.sleep(4)
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print("length")
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print(len(similarity_scores))
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key_index = 0
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@@ -124,13 +146,13 @@ async def server_1():
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print(value_inlist)
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print("index ")
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print(key_index)
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if key_index <=
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resp_list0.append(value_inlist)
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if key_index <=
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resp_list1.append(value_inlist)
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-
if key_index <=
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resp_list2.append(value_inlist)
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-
if key_index <=
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resp_list3.append(value_inlist)
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key_index = key_index + 1
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@@ -294,6 +316,204 @@ async def server_1():
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else:
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print("No reliable similarity found by 4 llms")
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# index_sorted0 = sorted0_with_index[:4]
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# index_sorted1 = sorted1_with_index[:4]
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# index_sorted2 = sorted2_with_index[:4]
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@@ -313,15 +533,6 @@ async def server_1():
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# the top 3 indexes must be above .78 similarity score
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# the top 3 must have occured 4 times or more in combined_indexes
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time.sleep(4)
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return all_results
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-
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-
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def threadserver():
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print('hi')
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os.system(' ./mxbai-embed-large-v1-f16.llamafile --server --nobrowser')
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8080)
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API_URL0 = "https://api-inference.huggingface.co/models/sentence-transformers/multi-qa-MiniLM-L6-cos-v1"
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API_URL1 = "https://api-inference.huggingface.co/models/sentence-transformers/all-mpnet-base-v2"
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API_URL2 = "https://api-inference.huggingface.co/models/sentence-transformers/all-roberta-large-v1"
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query_sentence = "Obama's first name"
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duck_results = []
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try:
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searchduck = DuckDuckGoSearchResults(output_format="list" ,max_results=5, num_results=5)
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duck_results = searchduck.invoke(query_sentence)
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except:
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print("An exception occurred")
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tool = Tool(
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name="google_search",
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response1 = requests.post(API_URL1, headers=headers, json=payload)
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response2 = requests.post(API_URL2, headers=headers, json=payload)
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response3 = requests.post(API_URL3, headers=headers, json=payload)
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varcontinue_similarity = 0
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print("type( response0.json() )")
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print(type( response0.json() ))
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print(type( response1.json() ))
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print(type( response3.json() ))
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if type(response0.json()) == list and type(response1.json()) == list and type(response2.json()) == list and type(response3.json()) == list :
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similarity_scores = response0.json() + response1.json() + response2.json() + response3.json()
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varcontinue_similarity = 1
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else:
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similarity_scores = "There's an error in llm similarity search retrieval"
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return similarity_scores
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time.sleep(4)
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result_processed = ""
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## if response is all list
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if varcontinue_similarity == 1 :
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# call processing with 10 google search result or 15 search results
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if len(all_results) == 10 :
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result_processed = process_similarity_10(all_results , similarity_scores )
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if len(all_results) > 10 :
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result_processed = process_similarity_15(all_results , similarity_scores )
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# return all_results
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return result_processed
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def threadserver():
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print('hi')
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os.system(' ./mxbai-embed-large-v1-f16.llamafile --server --nobrowser')
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def process_similarity_15(web_results , similarity_scores):
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# print(similarity_scores)
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# print(type(similarity_scores))
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print("length")
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print(len(similarity_scores))
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key_index = 0
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print(value_inlist)
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print("index ")
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print(key_index)
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if key_index <= 14 :
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resp_list0.append(value_inlist)
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if key_index <= 29 and key_index > 14 :
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resp_list1.append(value_inlist)
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if key_index <= 44 and key_index > 29 :
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resp_list2.append(value_inlist)
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if key_index <= 59 and key_index > 44 :
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resp_list3.append(value_inlist)
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key_index = key_index + 1
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else:
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print("No reliable similarity found by 4 llms")
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return str( index_sorted0 ) + "," + str( index_sorted1 ) + "," + str( index_sorted2 ) + "," + str( index_sorted3 )
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def process_similarity_10(web_results , similarity_scores):
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# print(similarity_scores)
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# print(type(similarity_scores))
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print("length")
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print(len(similarity_scores))
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key_index = 0
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#copy + loop to get index
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r_iterator = 0
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resp_list0 = []
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resp_list1 = []
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resp_list2 = []
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resp_list3 = []
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for value_inlist in similarity_scores:
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print(value_inlist)
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print("index ")
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print(key_index)
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if key_index <= 9 :
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resp_list0.append(value_inlist)
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if key_index <= 19 and key_index > 9 :
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resp_list1.append(value_inlist)
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if key_index <= 29 and key_index > 19 :
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resp_list2.append(value_inlist)
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if key_index <= 39 and key_index > 29 :
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resp_list3.append(value_inlist)
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key_index = key_index + 1
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print("The Response list 0 ")
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print(resp_list0)
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print("The Response list 1 ")
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print(resp_list1)
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print("The Response list 2 ")
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print(resp_list2)
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print("The Response list 3 ")
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print(resp_list3)
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# sorted 0 - 3 are sorted lists of score ; we must get their indices which is 0-8 that will be mapped to sentence index
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sorted0 = sorted(resp_list0 , reverse=True)
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sorted1 = sorted(resp_list1 , reverse=True)
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sorted2 = sorted(resp_list2 , reverse=True)
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sorted3 = sorted(resp_list3 , reverse=True)
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print("the sorted0-3")
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print(sorted0)
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print(sorted1)
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print(sorted2)
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print(sorted3)
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print("end the sorted0-3")
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# Get the index of the sorted list for resp_list0
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sorted0_with_index = []
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for x in sorted0:
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for y in resp_list0:
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if x == y:
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print("index of sorted0")
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print(resp_list0.index(y))
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if x > 0.90:
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sorted0_with_index.append(resp_list0.index(y))
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print("sorted_with_index")
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print(sorted0_with_index)
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print("sorted0_with_index")
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print(sorted0_with_index)
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sorted1_with_index = []
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for x in sorted1:
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for y in resp_list1:
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if x == y:
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print("index of sorted1")
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print(resp_list1.index(y))
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if y > 0.90:
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sorted1_with_index.append(resp_list1.index(y))
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print("sorted_with_index")
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print(sorted1_with_index)
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print("sorted1_with_index")
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print(sorted1_with_index)
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sorted2_with_index = []
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print("b4 for x in sorted2:")
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print("resp_list2:" + str(resp_list2))
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print("sorted:" + str(sorted2))
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for x in sorted2:
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for y in resp_list2:
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if x == y:
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print("index of sorted2")
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print(resp_list2.index(y))
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if y > 0.90:
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sorted2_with_index.append(resp_list2.index(y))
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print("sorted_with_index")
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print(sorted2_with_index)
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print("sorted2_with_index")
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print(sorted2_with_index)
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sorted3_with_index = []
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print("b4 for x in sorted3:")
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print("resp_list3:" + str(resp_list3))
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for x in sorted3:
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for y in resp_list3:
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if x == y:
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print("index of sorted3")
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print(resp_list3.index(y))
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if y > 0.90:
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sorted3_with_index.append(resp_list3.index(y))
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print("sorted_with_index")
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print(sorted3_with_index)
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print("sorted0-3_with_index")
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print(sorted0_with_index)
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print(sorted1_with_index)
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print(sorted2_with_index)
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print(sorted3_with_index)
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index_sorted0 = [] ; index_sorted1 = [] ; index_sorted2 = [] ; index_sorted3 = []
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# lines 158 onwards is about scenario when sorted0_with_index values are greater then .78
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# then combine the top 5 values from each list to get the top 3 of 4 llm
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varcontinue = False
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# we will only continue if each llm has resulted with values greater than .78 & if these llm result list has at least 2
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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 ):
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# continue variable set to true
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# indent this here # if( check if avarage of each any3 resp_list0-3 average is 0.85 or above ) !!then only continue!!!
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varcontinue = True
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print("continue variable set to true")
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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 ):
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# continue variable set to true
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# if( check if avarage of any3 resp_list0-3 average is 0.85 or above )!!then only continue!!!
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varcontinue = True
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print("continue variable set to true")
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# check if llm 1 - 3 has minimum 3
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if varcontinue == True:
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if len(sorted0_with_index) < 5 and len(sorted0_with_index) > 0 :
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print("len(sorted0_with_index) < 5 and len(sorted0_with_index) > 0")
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print(len(sorted0_with_index) < 5 and len(sorted0_with_index) > 0)
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print("sorted0_with_index")
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print(sorted0_with_index)
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for x in sorted0_with_index :
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index_sorted0.append(x)
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remaining_padding = 5 - len(index_sorted0)
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while remaining_padding > 0 :
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remaining_padding= remaining_padding - 1
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index_sorted0.append(index_sorted0[0])
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if len(sorted1_with_index) < 5 and len(sorted1_with_index) > 0 :
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print("len(sorted1_with_index) < 5 and len(sorted1_with_index) > 0")
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print(len(sorted1_with_index) < 5 and len(sorted1_with_index) > 0)
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print("sorted1_with_index")
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print(sorted1_with_index)
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for x in sorted1_with_index :
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index_sorted1.append(x)
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remaining_padding = 5 - len(index_sorted1)
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while remaining_padding > 0 :
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remaining_padding= remaining_padding - 1
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index_sorted1.append(index_sorted1[0])
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+
|
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 |
+
|