Update app.py

app.py

@@ -7,18 +7,10 @@ from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.vectorstores import FAISS
 from langchain.chains import RetrievalQA
 
-import os
-os.environ["GROQ_API_KEY"] = "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"
-
 def main():
-    # Retrieve Groq API key from environment variable
-    groq_api_key = os.getenv("GROQ_API_KEY")
+    # Directly set the API key
+    groq_api_key = "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"
     
-    # Check if API key is available
-    if not groq_api_key:
-        st.error("GROQ_API_KEY not found. Please set the environment variable.")
-        return
-
     st.title("PDF Chat with Groq LLM")
     
     # File uploader
@@ -52,7 +44,7 @@ def main():
         llm = ChatGroq(
             temperature=0.7, 
             model_name='llama3-70b-8192',
-            groq_api_key=groq_api_key  # Pass the API key explicitly
+            api_key=groq_api_key  # Use api_key instead of groq_api_key
         )
         
         # Create QA chain