Update app.py

app.py

@@ -113,38 +113,38 @@ def ui():
             # Show processed output audio
             st.audio(hindi_output_audio, format='audio/mp3')
 
-    st.markdown("---")
-    # Add a new audio uploader for users to upload another audio file
-    with st.form(key='my_form', clear_on_submit=True):
-        audio_file_new = st.file_uploader("Upload another audio file", type=["wav", "mp4", "mp3"])
-        submit_button = st.form_submit_button(label='Process and Play')
+    # st.markdown("---")
+    # # Add a new audio uploader for users to upload another audio file
+    # with st.form(key='my_form', clear_on_submit=True):
+    #     audio_file_new = st.file_uploader("Upload another audio file", type=["wav", "mp4", "mp3"])
+    #     submit_button = st.form_submit_button(label='Process and Play')
 
-    if audio_file_new is not None and submit_button:
-        output_file_path_new = "./output_audio_new.mp3"
-        save_uploaded_file_as_mp3(audio_file_new, output_file_path_new)
-        hindi_input_audio_new, sample_rate_new = librosa.load(output_file_path_new, sr=None, mono=True)
+    # if audio_file_new is not None and submit_button:
+    #     output_file_path_new = "./output_audio_new.mp3"
+    #     save_uploaded_file_as_mp3(audio_file_new, output_file_path_new)
+    #     hindi_input_audio_new, sample_rate_new = librosa.load(output_file_path_new, sr=None, mono=True)
 
-        # Applying audio recognition for the new file
-        hindi_transcription_new = parse_transcription(output_file_path_new)
-        st.success(f"Audio file saved as {output_file_path_new}")
+    #     # Applying audio recognition for the new file
+    #     hindi_transcription_new = parse_transcription(output_file_path_new)
+    #     st.success(f"Audio file saved as {output_file_path_new}")
 
-        # Convert Hindi to English for the new file
-        english_input_new = hindi_to_english(hindi_transcription_new)
+    #     # Convert Hindi to English for the new file
+    #     english_input_new = hindi_to_english(hindi_transcription_new)
 
-        # Feeding the input to the LLM for the new file
-        english_output_new = conversational_chat(llm_chain, english_input_new)
+    #     # Feeding the input to the LLM for the new file
+    #     english_output_new = conversational_chat(llm_chain, english_input_new)
 
-        # Convert English to Hindi for the new file
-        hin_output_new = translate_english_to_hindi(english_output_new)
+    #     # Convert English to Hindi for the new file
+    #     hin_output_new = translate_english_to_hindi(english_output_new)
 
-        # Getting the Hindi TTS for the new file
-        hindi_output_audio_new = hindi_tts(hin_output_new)
+    #     # Getting the Hindi TTS for the new file
+    #     hindi_output_audio_new = hindi_tts(hin_output_new)
 
-        # Show original uploaded audio for the new file
-        st.audio(audio_file_new, format='audio/mp3')
+    #     # Show original uploaded audio for the new file
+    #     st.audio(audio_file_new, format='audio/mp3')
 
-        # Show processed output audio for the new file
-        st.audio(hindi_output_audio_new, format='audio/mp3')
+    #     # Show processed output audio for the new file
+    #     st.audio(hindi_output_audio_new, format='audio/mp3')
 if __name__ == '__main__':
     ui()