Update app.py

app.py

@@ -20,7 +20,7 @@ api_token = os.getenv("HF_TOKEN")
 
 
 
-list_llm = ["meta-llama/Meta-Llama-3-8B-Instruct", "mistralai/Mistral-7B-Instruct-v0.3"]  
+list_llm = ["meta-llama/Meta-Llama-3-8B-Instruct", "mistralai/Mistral-7B-Instruct-v0.3","CohereForAI/aya-23-35B"]  
 list_llm_simple = [os.path.basename(llm) for llm in list_llm]
 
 # Load PDF document and create doc splits
@@ -67,14 +67,24 @@ def initialize_llmchain(llm_model, temperature, max_tokens, top_k, vector_db, pr
             max_new_tokens=max_tokens,
             top_k=top_k,
         )
-    else:
+    elif:
+        llm_model1 == "mistralai/Mistral-7B-Instruct-v0.3":
         llm = HuggingFaceEndpoint(
+            repo_id=llm_model1,
             huggingfacehub_api_token=api_token,
-            repo_id=llm_model, 
             temperature=temperature,
             max_new_tokens=max_tokens,
             top_k=top_k,
         )
+    else:
+        llm_model2 == "CohereForAI/aya-23-35B":
+        llm = HuggingFaceEndpoint(
+            repo_id=llm_model2,
+            huggingfacehub_api_token=api_token,
+            temperature=temperature,
+            max_new_tokens=max_tokens,
+            top_k=top_k,        
+        )
     
     progress(0.75, desc="Defining buffer memory...")
     memory = ConversationBufferMemory(