Update app.py

app.py

@@ -31,10 +31,6 @@ def transcribe(wav_path):
         api_name="/predict"
     )
 
-# Initialize session state
-if "messages" not in st.session_state:
-    st.session_state.messages = []
-
 # Prediction function
 def predict(message, system_prompt='Your name is OpenGPT. You are developed by Achyuth. You need to mostly focus on giving information about future agriculture and advanced farming. Empower yourself farming future with cutting-edge technology and sustainable practices. You need to cultivate a greener and more productive. Your developer is studying in The Hyderabad Public School Kadapa.', temperature=0.7, max_new_tokens=4096, Topp=0.5, Repetitionpenalty=1.2):
     with st.status("Starting client"):
@@ -65,12 +61,17 @@ def text_to_speech(text, language='en', filename='output.mp3'):
 st.title(TITLE)
 st.write(DESCRIPTION)
 
+# Initialize session state
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
 # Display chat messages from history on app rerun
 for message in st.session_state.messages:
     with st.chat_message(message["role"], avatar=("🧑‍💻" if message["role"] == 'human' else '🦙')):
         st.markdown(message["content"])
 
 textinput = st.chat_input("Ask AgriTure anything...")
+
 # Assume st_audiorec is a simplified audio recorder function
 wav_audio_data = st.audio_recorder()
 
@@ -106,4 +107,4 @@ if prompt := textinput:
     st.session_state.messages.append({"role": "assistant", "content": response})
 
     # Convert response to audio
-    text_to_speech(response)
+    text_to_speech(response)