Update app.py

app.py

@@ -97,7 +97,7 @@ def predict_alpha(message, chatbot=[], temperature=0.9, max_new_tokens=256, top_
     }
 
     try:
-        response_data = post_request_beta(data)
+        response_data = post_request_alpha(data)
         json_obj = response_data[0]
         
         if 'generated_text' in json_obj and len(json_obj['generated_text']) > 0:
@@ -122,7 +122,7 @@ def retry_fun_beta(chat_history_beta ):
     Retries the prediction for the last message in the chat history.
     Removes the last interaction and gets a new prediction for the same message from Zephyr-7b-Beta
     """
-    if not chat_history or len(chat_history) < 1:
+    if not chat_history_beta or len(chat_history_beta) < 1:
         raise gr.Error("Chat history is empty or invalid.")
     
     message = chat_history_beta[-1][0]
@@ -136,7 +136,7 @@ def retry_fun_alpha(chat_history_alpha ):
     Retries the prediction for the last message in the chat history.
     Removes the last interaction and gets a new prediction for the same message from Zephyr-7b-Alpha
     """
-    if not chat_history or len(chat_history) < 1:
+    if not chat_history_alpha or len(chat_history_alpha) < 1:
         raise gr.Error("Chat history is empty or invalid.")
     
     message = chat_history_alpha[-1][0]
@@ -144,6 +144,7 @@ def retry_fun_alpha(chat_history_alpha ):
     _, updated_chat_history_alpha = predict_alpha(message, chat_history_alpha)
     return updated_chat_history_alpha
 
+
 title = "🌀Zephyr Playground🎮"
 description = """
 Welcome to the Zephyr Playground! This interactive space lets you experience the prowess of two distinct Zephyr models – [Zephyr-7b-Alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) and [Zephyr-7b-Beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) – side by side. These models are products of fine-tuning the Mistral models.