Update app.py

app.py

@@ -5,7 +5,6 @@ from huggingface_hub import InferenceClient
 from gtts import gTTS
 from audiorecorder import audiorecorder
 import speech_recognition as sr
-import os
 
 def recognize_speech(audio_data):
     recognizer = sr.Recognizer()
@@ -73,25 +72,21 @@ def main():
     if not audio_data.empty():
         st.audio(audio_data.export().read(), format="audio/wav")
         audio_data.export("audio.wav", format="wav")
-
-        if os.path.exists("audio.wav"):
-            audio_text = recognize_speech("audio.wav")
+        audio_text = recognize_speech("audio.wav")
         
-            if audio_text:
-                output, audio_file = generate(audio_text, history=st.session_state.history)  
-                
-                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
-                    )
-        else:
-            st.error("Error: aún no se encontro un audio.")
+        if audio_text:
+            output, audio_file = generate(audio_text, history=st.session_state.history)  
+            
+            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 __name__ == "__main__":
     main()