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Update pages/2_Chatbot_AR.py

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  1. pages/2_Chatbot_AR.py +19 -3
pages/2_Chatbot_AR.py CHANGED
@@ -16,6 +16,9 @@ import pysqlite3
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  import sys
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  sys.modules["sqlite3"] = pysqlite3
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  #####################
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  # 1. HELPER FUNCTIONS
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  #####################
@@ -200,9 +203,12 @@ prompt_template_ar = PromptTemplate(
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  # Configuration du LLM HuggingFace (AR)
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  #os.environ["HUGGINGFACEHUB_API"]
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- llm_ar = HuggingFaceHub(
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- repo_id="MBZUAI-Paris/Atlas-Chat-2B", #"MBZUAI-Paris/Atlas-Chat-9B",
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- huggingfacehub_api_token=os.environ["HUGGINGFACEHUB_API"],
 
 
 
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  model_kwargs={
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  "temperature": 0.5,
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  "max_length": 500,
@@ -210,6 +216,16 @@ llm_ar = HuggingFaceHub(
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  }
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  )
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  # Chaîne AR
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  llm_chain_ar = LLMChain(llm=llm_ar, prompt=prompt_template_ar)
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  import sys
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  sys.modules["sqlite3"] = pysqlite3
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+ ####
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+ from langchain_openai import ChatOpenAI
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+
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  #####################
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  # 1. HELPER FUNCTIONS
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  #####################
 
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  # Configuration du LLM HuggingFace (AR)
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  #os.environ["HUGGINGFACEHUB_API"]
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+ from langchain_openai import ChatOpenAI
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+
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+ llm_ar = ChatOpenAI(
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+ model="Atlas-Chat-9B",
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+ base_url="https://api.friendli.ai/serverless/v1",
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+ api_key=os.environ["FRIENDLI_TOKEN"],
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  model_kwargs={
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  "temperature": 0.5,
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  "max_length": 500,
 
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  }
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  )
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+ # llm_ar = HuggingFaceHub(
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+ # repo_id="MBZUAI-Paris/Atlas-Chat-2B", #"MBZUAI-Paris/Atlas-Chat-9B",
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+ # huggingfacehub_api_token=os.environ["HUGGINGFACEHUB_API"],
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+ # model_kwargs={
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+ # "temperature": 0.5,
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+ # "max_length": 500,
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+ # "timeout": 600
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+ # }
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+ # )
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+
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  # Chaîne AR
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  llm_chain_ar = LLMChain(llm=llm_ar, prompt=prompt_template_ar)
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