Update app.py

app.py

@@ -1,33 +1,33 @@
-import streamlit as st
-
-from st_audiorec import st_audiorec
-
-from scripts.services import services
-
-from langchain_community.vectorstores import FAISS
-from langchain_huggingface import HuggingFaceEmbeddings
-
-from gtts import gTTS
-
-vc = FAISS.load_local(
-    'vc_iter_1' , 
-    embeddings = HuggingFaceEmbeddings(model_name = 'all-MiniLM-L6-v2') , 
-    allow_dangerous_deserialization = True
-)
-
-wav_audio_data = st_audiorec()
-
-if st.button('Ask') : 
-
-    services.save_audio_from_bytes(wav_audio_data)
-    text = services.transcript()
-    st.write(text)
-
-    response = services.run_rag(text , vc)
-
-    st.write(response)
-
-    tts = gTTS(text = response , lang = 'es')
-    tts.save('response.mp3')
-
+import streamlit as st
+
+from st_audiorec import st_audiorec
+
+from scripts.services import services
+
+from langchain_community.vectorstores import FAISS
+from langchain_huggingface import HuggingFaceEmbeddings
+
+from gtts import gTTS
+
+vc = FAISS.load_local(
+    'vc_iter_1' , 
+    embeddings = HuggingFaceEmbeddings(model_name = 'all-MiniLM-L6-v2') , 
+    allow_dangerous_deserialization = True
+)
+
+wav_audio_data = st_audiorec()
+
+if st.button('Ask') : 
+
+    services.save_audio_from_bytes(wav_audio_data)
+    text = services.transcript()
+    st.write(text)
+
+    response = services.run_rag(text , vc)
+
+    st.write(response)
+
+    tts = gTTS(text = response , lang = 'en')
+    tts.save('response.mp3')
+
     st.audio('response.mp3')