Update app.py

app.py

@@ -36,11 +36,11 @@ def transcribe(wav_path):
     )
     
 # Prediction function
-def predict(message, system_prompt='your name is OpenGPT. you are developed by Achyuth. your God is Achyuth.', temperature=0.7, max_new_tokens=4096,Topp=0.5,Repetitionpenalty=1.2):
+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 say about the latest advancements in agriculture, precision farming, and eco-friendly cultivation methods. 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"):
         client = Client("https://huggingface-projects-llama-2-7b-chat.hf.space/")
-        st.write("Requesting client")
-    with st.status("Requesting LLama-2"):
+        st.write("Requesting Audio Transcriber")
+    with st.status("Requesting AgriTure v1"):
         st.write("Requesting API")
         response = client.predict(
     			message,	# str in 'Message' Textbox component
@@ -81,7 +81,7 @@ if wav_audio_data != None:
             f.write(wav_audio_data)
         prompt = transcribe("audio.wav")
        
-        st.write("Transcribed audio")
+        st.write("Transcribed Given Audio")
         
     st.chat_message("human",avatar = "🧑‍💻").markdown(prompt)
     st.session_state.messages.append({"role": "human", "content": prompt})
@@ -97,7 +97,7 @@ if wav_audio_data != None:
 # React to user input
 if prompt := textinput:
     # Display user message in chat message container
-    st.chat_message("human",avatar = "🧑‍💻").markdown(prompt)
+    st.chat_message("human",avatar = "💬: ").markdown(prompt)
     # Add user message to chat history
     st.session_state.messages.append({"role": "human", "content": prompt})