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Update app.py
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app.py
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@@ -17,7 +17,7 @@ MODEL_NAME = 'all-MiniLM-L6-v2'
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CATEGORY_SIMILARITY_THRESHOLD = 0.3 # Threshold for *displaying* the best category match
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MAX_TECHNOLOGIES_TO_SHOW = 8 # Max technologies relevant to the problem (selected across ALL categories)
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MAX_TECHNOLOGY_PAIRS_TO_SEARCH = 5 # Max pairs (from the relevant tech) to use for solution search
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MAX_SEARCH_REFERENCES_PER_PAIR =
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SEARCH_API_URL = "https://ychkhan-ptt-endpoints.hf.space/search"
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# --- Global Variables ---
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@@ -359,7 +359,7 @@ def search_solutions_for_pairs(problem_description, top_pairs):
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# Keep problem description out of the API query unless the API is designed for it
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# query = f'"{tech_a_name}" AND "{tech_b_name}" patent OR research paper OR application'
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# More targeted query:
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query = f'
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params = {
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'query': query,
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CATEGORY_SIMILARITY_THRESHOLD = 0.3 # Threshold for *displaying* the best category match
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MAX_TECHNOLOGIES_TO_SHOW = 8 # Max technologies relevant to the problem (selected across ALL categories)
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MAX_TECHNOLOGY_PAIRS_TO_SEARCH = 5 # Max pairs (from the relevant tech) to use for solution search
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MAX_SEARCH_REFERENCES_PER_PAIR = 5 # Max references from the API per pair
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SEARCH_API_URL = "https://ychkhan-ptt-endpoints.hf.space/search"
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# --- Global Variables ---
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# Keep problem description out of the API query unless the API is designed for it
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# query = f'"{tech_a_name}" AND "{tech_b_name}" patent OR research paper OR application'
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# More targeted query:
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query = f'research paper or patent on {tech_a_name} and {tech_b_name} of {problem_description}' # Use snippet of problem
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params = {
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'query': query,
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