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Update app.py
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app.py
CHANGED
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@@ -12,7 +12,9 @@ import time
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import random
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from urllib.parse import quote_plus
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import os
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from langchain_openai import ChatOpenAI
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from langchain_community.tools import DuckDuckGoSearchRun
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# Configuration
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@@ -102,92 +104,105 @@ class ShoppingTools:
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return f"Error comparing products: {str(e)}"
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def create_agents(api_key=None):
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"""Create the shopping agent crew
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# Initialize LLM with
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if not
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try:
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except:
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pass
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if not
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return None, None, None
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# Clean the API key (remove any whitespace)
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try:
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#
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os.environ["
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os.environ["OPENAI_API_KEY"] = aiml_api_key # CrewAI/LangChain expects this
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#
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"
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"
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"
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"
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"
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"claude-3-haiku-20240307",
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"llama-3.1-8b-instruct",
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"llama-3.1-70b-instruct",
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"mixtral-8x7b-instruct"
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]
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llm = None
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successful_model = None
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for model in
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try:
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st.info(f"π Trying
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model=model,
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openai_api_key=aiml_api_key, # Explicitly pass the API key
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openai_api_base="https://api.aimlapi.com/v1", # Use openai_api_base for compatibility
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temperature=0.1,
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max_tokens=1024
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request_timeout=30
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)
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# Test the LLM with a simple prompt
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test_response = llm.invoke("Say 'Hello'")
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successful_model = model
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st.success(f"β
Successfully initialized
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break
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except Exception as model_error:
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error_msg = str(model_error)
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if "401" in error_msg or "invalid_api_key" in error_msg
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st.error(f"β API Key Error: {error_msg}")
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st.error("Please check your
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return None, None, None
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elif "404" in error_msg or "model_not_found" in error_msg:
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st.warning(f"β οΈ Model {model} not available, trying next...")
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continue
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elif "rate_limit" in error_msg:
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st.warning(f"β οΈ Rate limit for model {model}, trying next...")
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continue
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else:
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st.warning(f"β οΈ Error with model {model}: {error_msg}")
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continue
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if llm is None:
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st.error("β Failed to initialize any
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return None, None, None
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except Exception as e:
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error_msg = str(e)
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if "401" in error_msg or "invalid_api_key" in error_msg
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st.error("β Invalid
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else:
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st.error(f"β Error initializing
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return None, None, None
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# Product Search Agent
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@@ -196,7 +211,7 @@ def create_agents(api_key=None):
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goal="Search for products based on user queries and find relevant options",
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backstory="You are an expert at finding products online. You know how to search effectively and find the most relevant products for users.",
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tools=[ShoppingTools.search_products],
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llm=
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verbose=True,
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allow_delegation=False
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)
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@@ -207,7 +222,7 @@ def create_agents(api_key=None):
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goal="Extract and analyze product information including prices, specifications, and ratings",
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backstory="You are a meticulous analyst who can extract structured information from unstructured data and identify key product features.",
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tools=[ShoppingTools.extract_product_info],
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llm=
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verbose=True,
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allow_delegation=False
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)
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goal="Compare products and recommend the best options based on various criteria",
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backstory="You are an expert at comparing products and providing recommendations. You consider price, quality, ratings, and features to make the best suggestions.",
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tools=[ShoppingTools.compare_products],
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llm=
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verbose=True,
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allow_delegation=False
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)
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# Header
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st.title("π Smart Shopping Agent")
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st.markdown("### AI-Powered Product Search, Comparison & Recommendation System")
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st.markdown("**Now powered by AIML API with 300+ AI models!**")
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# Sidebar for configuration
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with st.sidebar:
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st.header("βοΈ Configuration")
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# API Key input
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# Demo mode toggle
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demo_mode = st.checkbox("Demo Mode", value=True, help="Use mock data for demonstration")
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# Add instructions for getting API key
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st.markdown("---")
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st.markdown("**π Get
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st.markdown("1. Visit [
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st.markdown("2. Sign up for
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st.markdown("3.
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st.markdown("4.
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st.markdown("5.
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# Add API key validation info
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st.markdown("---")
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st.markdown("**π API Key
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if
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if
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st.success("β
API key
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else:
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st.error("β
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else:
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st.info("π‘ Enter your API key above")
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# Add model info
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st.markdown("---")
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st.markdown("**π€ Available Models:**")
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st.markdown("- GPT-4o, GPT-4 Turbo")
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st.markdown("- Claude 3.5 Sonnet, Claude 3 Haiku")
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st.markdown("- Llama 3.1 (8B, 70B)")
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st.markdown("- Mixtral 8x7B")
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st.markdown("- And 290+ more models!")
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st.markdown("---")
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st.markdown("**How to use:**")
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st.markdown("3. View comparison and recommendations")
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st.markdown("---")
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st.markdown("**
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st.markdown("-
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st.markdown("- DuckDuckGo Search")
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st.markdown("- CrewAI Framework")
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st.markdown("- Streamlit")
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else:
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# Check if API key is provided
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if not
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st.error("Please enter your
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st.info("You can get a free API key from [
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return
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# Use real CrewAI agents
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try:
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agents = create_agents(
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if not all(agents):
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st.error("Failed to initialize AI agents. Please check your API key.")
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st.info("Falling back to demo mode...")
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st.session_state.search_results = products
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st.session_state.comparison_data = comparison_data
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except:
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# If JSON parsing fails, use mock data
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st.warning("Could not parse AI response, using mock data")
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st.session_state.search_results = mock_search_results(product_query)
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st.session_state.comparison_data = st.session_state.search_results
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file_name=f"{product_query.replace(' ', '_')}_comparison.json",
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mime="application/json"
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)
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# Footer
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st.markdown("---")
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st.markdown("**π‘ Pro Tips:**")
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st.markdown("- Be specific in your search queries (e.g., 'wireless noise-cancelling headphones under $200')")
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st.markdown("- Try different models if one doesn't work well")
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st.markdown("- Use demo mode to test the interface before adding your API key")
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if __name__ == "__main__":
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main()
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import random
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from urllib.parse import quote_plus
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import os
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from langchain_groq import ChatGroq
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from langchain_openai import ChatOpenAI
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from langchain_community.llms import Ollama
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from langchain_community.tools import DuckDuckGoSearchRun
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# Configuration
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return f"Error comparing products: {str(e)}"
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def create_agents(api_key=None):
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"""Create the shopping agent crew"""
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# Initialize LLM with proper configuration for CrewAI
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groq_api_key = api_key or os.environ.get("GROQ_API_KEY")
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if not groq_api_key:
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try:
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groq_api_key = st.secrets.get("GROQ_API_KEY")
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except:
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pass
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if not groq_api_key or groq_api_key.strip() == "" or groq_api_key == "your-groq-api-key-here":
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return None, None, None
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# Clean the API key (remove any whitespace)
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groq_api_key = groq_api_key.strip()
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# Validate API key format (Groq keys typically start with gsk_)
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if not groq_api_key.startswith('gsk_'):
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st.error("β οΈ Invalid Groq API key format. Groq API keys should start with 'gsk_'")
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return None, None, None
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try:
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# Set environment variable for CrewAI
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os.environ["GROQ_API_KEY"] = groq_api_key
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# Try different Groq models with proper provider prefix for CrewAI
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groq_models = [
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"groq/llama3-8b-8192",
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"groq/llama-3.1-8b-instant",
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"groq/mixtral-8x7b-32768",
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"groq/llama3-70b-8192",
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"groq/gemma-7b-it"
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]
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llm = None
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successful_model = None
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for model in groq_models:
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try:
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st.info(f"π Trying Groq model: {model}")
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llm = ChatGroq(
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model=model.replace("groq/", ""), # Remove prefix for ChatGroq
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api_key=groq_api_key,
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temperature=0.1,
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max_tokens=1024
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)
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# Test the LLM with a simple prompt
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test_response = llm.invoke("Say 'Hello'")
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successful_model = model
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st.success(f"β
Successfully initialized Groq LLM with model: {model}")
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break
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except Exception as model_error:
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error_msg = str(model_error)
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if "401" in error_msg or "invalid_api_key" in error_msg:
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st.error(f"β API Key Error: {error_msg}")
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st.error("Please check your Groq API key at https://console.groq.com/")
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return None, None, None
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elif "404" in error_msg or "model_not_found" in error_msg:
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st.warning(f"β οΈ Model {model} not available, trying next...")
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continue
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else:
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st.warning(f"β οΈ Error with model {model}: {error_msg}")
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continue
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if llm is None:
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st.error("β Failed to initialize any Groq model. Please check your API key and try again.")
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return None, None, None
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# For CrewAI, we need to specify the model with provider prefix
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# Create a wrapper that uses the correct model name for CrewAI
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class CrewAIGroqLLM:
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def __init__(self, model, api_key):
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self.model = model
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self.api_key = api_key
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self.llm = ChatGroq(
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model=model.replace("groq/", ""),
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api_key=api_key,
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temperature=0.1,
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max_tokens=1024
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)
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def invoke(self, prompt):
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return self.llm.invoke(prompt)
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def __call__(self, prompt):
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return self.llm.invoke(prompt)
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# Use the successful model
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crewai_llm = CrewAIGroqLLM(successful_model, groq_api_key)
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except Exception as e:
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error_msg = str(e)
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if "401" in error_msg or "invalid_api_key" in error_msg:
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st.error("β Invalid Groq API Key. Please check your key at https://console.groq.com/")
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else:
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st.error(f"β Error initializing Groq: {error_msg}")
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return None, None, None
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# Product Search Agent
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goal="Search for products based on user queries and find relevant options",
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backstory="You are an expert at finding products online. You know how to search effectively and find the most relevant products for users.",
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tools=[ShoppingTools.search_products],
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llm=crewai_llm,
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verbose=True,
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allow_delegation=False
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)
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goal="Extract and analyze product information including prices, specifications, and ratings",
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backstory="You are a meticulous analyst who can extract structured information from unstructured data and identify key product features.",
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tools=[ShoppingTools.extract_product_info],
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llm=crewai_llm,
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verbose=True,
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allow_delegation=False
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)
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goal="Compare products and recommend the best options based on various criteria",
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backstory="You are an expert at comparing products and providing recommendations. You consider price, quality, ratings, and features to make the best suggestions.",
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tools=[ShoppingTools.compare_products],
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llm=crewai_llm,
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verbose=True,
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allow_delegation=False
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)
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# Header
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st.title("π Smart Shopping Agent")
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st.markdown("### AI-Powered Product Search, Comparison & Recommendation System")
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# Sidebar for configuration
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with st.sidebar:
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st.header("βοΈ Configuration")
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# API Key input
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groq_api_key = st.text_input("Groq API Key", type="password", help="Enter your Groq API key for LLM access")
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# Demo mode toggle
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demo_mode = st.checkbox("Demo Mode", value=True, help="Use mock data for demonstration")
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# Add instructions for getting API key
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st.markdown("---")
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st.markdown("**π Get Free Groq API Key:**")
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st.markdown("1. Visit [console.groq.com](https://console.groq.com/)")
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st.markdown("2. Sign up for free")
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st.markdown("3. Generate API key")
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st.markdown("4. Copy the key (starts with 'gsk_')")
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st.markdown("5. Paste it above")
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# Add API key validation info
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st.markdown("---")
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st.markdown("**π API Key Validation:**")
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if groq_api_key:
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if groq_api_key.strip().startswith('gsk_'):
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st.success("β
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else:
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st.error("β Invalid format. Groq keys start with 'gsk_'")
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else:
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st.info("π‘ Enter your API key above to validate")
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st.markdown("---")
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st.markdown("**How to use:**")
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st.markdown("3. View comparison and recommendations")
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st.markdown("---")
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st.markdown("**Free Resources Used:**")
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st.markdown("- Groq LLM (Free tier)")
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st.markdown("- DuckDuckGo Search")
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st.markdown("- CrewAI Framework")
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st.markdown("- Streamlit")
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else:
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# Check if API key is provided
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| 465 |
+
if not groq_api_key:
|
| 466 |
+
st.error("Please enter your Groq API key in the sidebar to use AI agents, or enable Demo Mode.")
|
| 467 |
+
st.info("You can get a free API key from [console.groq.com](https://console.groq.com/)")
|
| 468 |
return
|
| 469 |
|
| 470 |
+
# Use real CrewAI agents
|
| 471 |
try:
|
| 472 |
+
agents = create_agents(groq_api_key)
|
| 473 |
if not all(agents):
|
| 474 |
st.error("Failed to initialize AI agents. Please check your API key.")
|
| 475 |
st.info("Falling back to demo mode...")
|
|
|
|
| 495 |
st.session_state.search_results = products
|
| 496 |
st.session_state.comparison_data = comparison_data
|
| 497 |
except:
|
|
|
|
|
|
|
| 498 |
st.session_state.search_results = mock_search_results(product_query)
|
| 499 |
st.session_state.comparison_data = st.session_state.search_results
|
| 500 |
|
|
|
|
| 541 |
file_name=f"{product_query.replace(' ', '_')}_comparison.json",
|
| 542 |
mime="application/json"
|
| 543 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 544 |
|
| 545 |
if __name__ == "__main__":
|
| 546 |
main()
|