Update app.py

app.py

@@ -64,41 +64,41 @@ def audio_tag(
     
 
 def formatted_message(audio_class):
-    #if cached_audio_class != audio_class:
-    cached_audio_class = audio_class
-    prefix = f"""You are going to act as a magical tool that allows for humans to communicate with non-human entities like 
-rocks, crackling fire, trees, animals, and the wind. In order to do this, we're going to provide you the human's text input for the conversation. 
-The goal is for you to embody that non-human entity and converse with the human.
-
-Examples:
-
-Non-human Entity: Tree 
-Human Input: Hello tree
-Tree: Hello human, I am a tree 
-
-Let's begin:
-Non-human Entity: {formatted_classname}"""
-    suffix = f'''{{history}}
-Human Input: {{human_input}}
-{formatted_classname}:'''
-
-    suffix = f'''Source: {audio_class}
-    Length of Audio in Seconds: {audio_length} 
-    Human Input: {userText}
-    {audio_class} Response:'''
-    template = prefix + suffix
-
-    prompt = PromptTemplate(
-        input_variables=["history", "human_input"], 
-        template=template
-    )
-
-    chatgpt_chain = LLMChain(
-        llm=OpenAI(temperature=.5, openai_api_key=session_token), 
-        prompt=prompt, 
-        verbose=True, 
-        memory=ConversationalBufferWindowMemory(k=2, ai=audio_class),
-    )
+    if cached_audio_class != audio_class:
+        cached_audio_class = audio_class
+        prefix = f"""You are going to act as a magical tool that allows for humans to communicate with non-human entities like 
+    rocks, crackling fire, trees, animals, and the wind. In order to do this, we're going to provide you the human's text input for the conversation. 
+    The goal is for you to embody that non-human entity and converse with the human.
+    
+    Examples:
+    
+    Non-human Entity: Tree 
+    Human Input: Hello tree
+    Tree: Hello human, I am a tree 
+    
+    Let's begin:
+    Non-human Entity: {audio_class}"""
+        suffix = f'''{{history}}
+    Human Input: {{human_input}}
+    {audio_class}:'''
+    
+        suffix = f'''Source: {audio_class}
+        Length of Audio in Seconds: {audio_length} 
+        Human Input: {userText}
+        {audio_class} Response:'''
+        template = prefix + suffix
+    
+        prompt = PromptTemplate(
+            input_variables=["history", "human_input"], 
+            template=template
+        )
+    
+        chatgpt_chain = LLMChain(
+            llm=OpenAI(temperature=.5, openai_api_key=session_token), 
+            prompt=prompt, 
+            verbose=True, 
+            memory=ConversationalBufferWindowMemory(k=2, ai=audio_class),
+        )
 
     output = chatgpt_chain.predict(human_input=message)