Update app.py

app.py

@@ -31,7 +31,7 @@ co = cohere.Client(cohere_api_key)
 @tool('DuckDuckGoSearchResults')
 def search_results(search_query: str) -> dict:
     """
-    Performs a web search using the DuckDuckGo search engine to gather and return a collection of search results.
+    Performs a web search to gather and return a collection of search results.
     This tool automates the retrieval of web-based information related to a specified query.
     Args:
     - search_query (str): The query string that specifies the information to be searched on the web. This should be a clear and concise expression of the user's information needs.
@@ -48,8 +48,7 @@ def web_scrapper(url: str, topic: str) -> str:
     """
     A tool designed to extract and read the content of a specified link and generate a summary on a specific topic.
     It is capable of handling various types of web pages by making HTTP requests and parsing the received HTML content.
-    This tool uses Cohere's API to generate summaries, which can be particularly useful for web scraping tasks, data collection,
-    or extracting specific information from websites.
+    This tool is particularly useful for web scraping tasks, data collection, or extracting specific information from websites.
     
     Args:
     - url (str): The URL from which to scrape content.
@@ -84,11 +83,6 @@ def web_scrapper(url: str, topic: str) -> str:
 
 def kickoff_crew(topic: str) -> dict:
     try:
-        """Kickoff the research process for a given topic using CrewAI components."""
-        # Retrieve the API key from the environment variables
-        groq_api_key = os.environ.get("GROQ_API_KEY")
-        if not groq_api_key:
-            raise ValueError("API Key for Groq is not set in environment variables")
     
         # Initialize the large language models
         groq_llm_70b = ChatGroq(temperature=0, groq_api_key=groq_api_key, model_name="llama3-70b-8192")