Update app.py

app.py

@@ -37,6 +37,40 @@ def transcribe(wav_path):
 				api_name="/predict"
     )
 
+# 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"):
+        client = Client("https://huggingface-projects-llama-2-7b-chat.hf.space/")
+        st.write("Requesting Audio Transcriber")
+    with st.status("Requesting AgriTure v1"):
+        st.write("Requesting API")
+        response = client.predict(
+    			message,	# str in 'Message' Textbox component
+                system_prompt,	# str in 'Optional system prompt' Textbox component
+    			max_new_tokens,	# int | float (numeric value between 0 and 4096)
+    			temperature,	# int | float (numeric value between 0.0 and 1.0)
+    			Topp,	
+                500,
+    			Repetitionpenalty,	# int | float (numeric value between 1.0 and 2.0)
+    			api_name="/chat"
+        )
+        st.write("Done")
+        return response
+
+def text_to_speech(text, language='en', filename='output.mp3'):
+    # Create a gTTS object
+    tts = gTTS(text=text, lang=language, slow=False)
+
+    # Save the audio file
+    tts.save(filename)
+
+    # Play the audio file
+    os.system(f'start {filename}')  # This works on Windows. For other OS, you might need a different command.
+
+
+
+# Example usage
+text_to_speech(response)
     
 # Streamlit UI
 st.title(TITLE)
@@ -90,37 +124,3 @@ if prompt := textinput:
         st.markdown(response)
     # Add assistant response to chat history
     st.session_state.messages.append({"role": "assistant", "content": response})
-
-def text_to_speech(text, language='en', filename='output.mp3'):
-    # Create a gTTS object
-    tts = gTTS(text=text, lang=language, slow=False)
-
-    # Save the audio file
-    tts.save(filename)
-
-    # Play the audio file
-    os.system(f'start {filename}')  # This works on Windows. For other OS, you might need a different command.
-
-
-# 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"):
-        client = Client("https://huggingface-projects-llama-2-7b-chat.hf.space/")
-        st.write("Requesting Audio Transcriber")
-    with st.status("Requesting AgriTure v1"):
-        st.write("Requesting API")
-        response = client.predict(
-    			message,	# str in 'Message' Textbox component
-                system_prompt,	# str in 'Optional system prompt' Textbox component
-    			max_new_tokens,	# int | float (numeric value between 0 and 4096)
-    			temperature,	# int | float (numeric value between 0.0 and 1.0)
-    			Topp,	
-                500,
-    			Repetitionpenalty,	# int | float (numeric value between 1.0 and 2.0)
-    			api_name="/chat"
-        )
-        st.write("Done")
-        return response
-
-# Example usage
-text_to_speech(response)