Update app.py

app.py

@@ -81,7 +81,8 @@ def get_conversational_chain():
     """
     # Assuming we use the Groq API for the model as well
     # Replace with your Groq model call or other LLM API
-    model = get_groq_embeddings  # Placeholder for the actual model call
+    
+    model = 'llama3-8b-8192'  # Placeholder for the actual model call
     prompt = PromptTemplate(template=prompt_template, input_variables=["context", "question"])
     chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)
     return chain