aibmedia commited on
Commit
85498e2
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1 Parent(s): a10e774

Update main.py

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Files changed (1) hide show
  1. main.py +9 -3
main.py CHANGED
@@ -12,6 +12,7 @@ from langchain_community.tools import DuckDuckGoSearchResults
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  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"
@@ -156,7 +157,7 @@ async def server_1():
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  # TODO :: check parts of snipp to pass in the processing func
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  # TODO :: pull pages and split each html and count occurance of important keywords here & check snipp if snipp occurs between . and <p> its good not img
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- n_results = []
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  iter_x = 0
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  for x in new_results:
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  n_results[iter_x] = []
@@ -189,10 +190,15 @@ async def server_1():
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  iter_x = 0
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  for y in n_results :
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  print("y")
 
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  print(y)
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- # print(y)
 
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  iter_x = iter_x + 1
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- sentences_comparison.append(y)
 
 
 
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  # nresults={}
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  # new_results loop
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  # sentences loop
 
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  from langchain_community.utilities import DuckDuckGoSearchAPIWrapper
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+
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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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  # TODO :: check parts of snipp to pass in the processing func
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  # TODO :: pull pages and split each html and count occurance of important keywords here & check snipp if snipp occurs between . and <p> its good not img
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+ n_results = {}
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  iter_x = 0
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  for x in new_results:
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  n_results[iter_x] = []
 
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  iter_x = 0
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  for y in n_results :
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  print("y")
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+ print(n_results[iter_x])
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  print(y)
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+ # print(y)
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+ sentences_comparison.append( n_results[iter_x] )
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  iter_x = iter_x + 1
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+
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+ print("sentences_comparison")
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+ print(sentences_comparison)
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+
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  # nresults={}
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  # new_results loop
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  # sentences loop