Hammad712 commited on
Commit
a04f5e2
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1 Parent(s): 63b7869

Update main.py

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Files changed (1) hide show
  1. main.py +10 -8
main.py CHANGED
@@ -34,9 +34,11 @@ from google.genai import types
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  # MongoDB Configuration
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  MONGO_PASSWORD = quote_plus(os.getenv("MONGO_PASSWORD"))
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- DATABASE_NAME = os.getenv("MONGO_DB_NAME")
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- MONGO_URI = os.getenv("CONNECTION_STRING")
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- CHAT_COLLECTION = "chat_history"
 
 
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  USER_COLLECTION = "users"
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  VIDEO_COLLECTION = "videos"
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@@ -107,8 +109,8 @@ class VideoData(BaseModel):
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  # MongoDB connection and chat management
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  class MongoDB:
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  def __init__(self):
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- self.client = MongoClient(MONGO_URI)
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- self.db = self.client[DATABASE_NAME]
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  self.users = self.db[USER_COLLECTION]
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  self.videos = self.db[VIDEO_COLLECTION]
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@@ -176,7 +178,7 @@ class ChatManagement:
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  # Global variables and instances
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  mongodb = MongoDB()
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- chat_manager = ChatManagement(MONGO_URI, DATABASE_NAME, CHAT_COLLECTION)
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  sessions = {} # In-memory session storage for retrievers
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  # Video directory for temporary storage
@@ -246,9 +248,9 @@ def get_llm():
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  Returns the language model instance (LLM) using ChatGroq API.
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  The LLM used is Llama 3.3 with a versatile 70 billion parameters model.
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  """
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- api_key = os.getenv("GROQ_API_KEY", "")
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  if not api_key:
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- raise ValueError("GROQ_API_KEY environment variable not set")
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  llm = ChatGroq(
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  model="llama-3.3-70b-versatile",
 
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  # MongoDB Configuration
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  MONGO_PASSWORD = quote_plus(os.getenv("MONGO_PASSWORD"))
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+ MONGO_DATABASE_NAME = os.getenv("DATABASE_NAME")
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+ MONGO_COLLECTION_NAME = os.getenv("COLLECTION_NAME")
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+ connection_string_template = os.getenv("CONNECTION_STRING")
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+ MONGO_CLUSTER_URL = connection_string_template.replace("${PASSWORD}", MONGO_PASSWORD)
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+ CHAT_COLLECTION = MONGO_COLLECTION_NAME or "chat_history"
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  USER_COLLECTION = "users"
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  VIDEO_COLLECTION = "videos"
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  # MongoDB connection and chat management
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  class MongoDB:
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  def __init__(self):
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+ self.client = MongoClient(MONGO_CLUSTER_URL)
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+ self.db = self.client[MONGO_DATABASE_NAME]
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  self.users = self.db[USER_COLLECTION]
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  self.videos = self.db[VIDEO_COLLECTION]
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  # Global variables and instances
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  mongodb = MongoDB()
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+ chat_manager = ChatManagement(MONGO_CLUSTER_URL, MONGO_DATABASE_NAME, CHAT_COLLECTION)
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  sessions = {} # In-memory session storage for retrievers
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  # Video directory for temporary storage
 
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  Returns the language model instance (LLM) using ChatGroq API.
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  The LLM used is Llama 3.3 with a versatile 70 billion parameters model.
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  """
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+ api_key = os.getenv("CHATGROQ_API_KEY", "")
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  if not api_key:
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+ raise ValueError("CHATGROQ_API_KEY environment variable not set")
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  llm = ChatGroq(
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  model="llama-3.3-70b-versatile",