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Update src/services/utils.py
Browse files- src/services/utils.py +28 -3
src/services/utils.py
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@@ -6,7 +6,15 @@ import nltk
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from nltk.stem import *
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nltk.download("punkt_tab")
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def set_prompt(problem):
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prompt = """
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@@ -48,7 +56,7 @@ def load_technologies_excel():
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return df
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def load_technologies():
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EMBEDDINGS_FILE =
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try:
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with open(EMBEDDINGS_FILE, 'rb') as f:
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@@ -147,4 +155,21 @@ def save_to_pickle(result_similarites):
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pickle.dump(data_to_save, f)
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print(f"\nMatrix and labels saved to {output_filename}")
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return output_filename
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from nltk.stem import *
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nltk.download("punkt_tab")
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from pathlib import Path
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import os
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import google.generativeai as genai
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import json
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from google.genai import Client, types
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BASE_DIR = Path(__file__).resolve().parent.parent
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FILE_PATH = BASE_DIR / 'ressources' / 'global_tech_embeddings.pkl'
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def set_prompt(problem):
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prompt = """
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return df
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def load_technologies():
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EMBEDDINGS_FILE = FILE_PATH
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try:
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with open(EMBEDDINGS_FILE, 'rb') as f:
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pickle.dump(data_to_save, f)
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print(f"\nMatrix and labels saved to {output_filename}")
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return output_filename
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def set_gemini():
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gemini_api = os.getenv("GEMINI_API")
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client = Client(api_key=gemini_api)
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# Define the grounding tool
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grounding_tool = types.Tool(
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google_search=types.GoogleSearch()
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)
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# Configure generation settings
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config = types.GenerateContentConfig(
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tools=[grounding_tool]
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)
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return client,config
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