Update app.py

app.py

@@ -1,3 +1,4 @@
+
 import streamlit as st
 import base64
 import io
@@ -6,6 +7,10 @@ from gtts import gTTS
 from audiorecorder import audiorecorder
 import speech_recognition as sr
 
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+pre_prompt = "Te Llamaras Chaman 4.0"
+pre_prompt_sent = False
+
 def recognize_speech(audio_data):
     st.info("Reconociendo audio...")
 
@@ -91,19 +96,20 @@ def main():
 
         audio_text = recognize_speech("audio.wav")
         
-        output, audio_file = generate(audio_text, history=st.session_state.history)  
-        st.text_area("Respuesta", height=100, value=output, key="output_text", disabled=True)
-            
-        if audio_text:  
-            st.session_state.history.append((audio_text, output))  
-            
-        if audio_file is not None:
-            st.markdown(
-                f"""
-                <audio autoplay="autoplay" controls="controls" src="data:audio/mp3;base64,{base64.b64encode(audio_file.read()).decode()}" type="audio/mp3" id="audio_player"></audio>
-                """,
-                unsafe_allow_html=True
-            )
+        if audio_text:
+            output, audio_file = generate(audio_text, history=st.session_state.history)  
+            st.text_area("Respuesta", height=100, value=output, key="output_text", disabled=True)
+                
+            if audio_file is not None:
+                st.markdown(
+                    f"""
+                    <audio autoplay="autoplay" controls="controls" src="data:audio/mp3;base64,{base64.b64encode(audio_file.read()).decode()}" type="audio/mp3" id="audio_player"></audio>
+                    """,
+                    unsafe_allow_html=True
+                )
+
+            if audio_text:  
+                st.session_state.history.append((audio_text, output))  
 
 if __name__ == "__main__":
     main()