updates for other languages

app.py

@@ -120,6 +120,7 @@ def lang_model_response(prompt, language):
     prompt = p_es + prompt + "\n" + "Responder: "
   elif language == 'fr':
     prompt = p_fr + prompt + "\n" + "Réponse: "
+  #else:
     
   json_ = {"inputs": prompt,
             "parameters":
@@ -145,6 +146,16 @@ def lang_model_response(prompt, language):
     solution = output_tmp.split("Responder: ")[2].split("\n")[0]
   elif language == 'fr':
     solution = output_tmp.split("Réponse: ")[2].split("\n")[0]
+  else:
+    if '?' in output_tmp:
+      solution = output_tmp.split("?")[1]
+    elif '.' in output_tmp:
+      solution = output_tmp.split(".")[1]
+    elif ',' in output_tmp:
+      solution = output_tmp.split(",")[1]
+    else:
+      solution = output_tmp[:25]
+    print(f"Another language was used : {language}")
   #  solution = output_tmp.split(".")[1]
   print(f"Final Bloom Response after splits is: {solution}")
   return solution
@@ -172,7 +183,7 @@ with demo:
       out_transcript = gr.Textbox(label= 'English/Spanish/French Transcript of your Audio using OpenAI Whisper')
       out_translation_en = gr.Textbox(label= 'English Translation of audio using OpenAI Whisper')
     with gr.Column():
-      out_audio = gr.Audio(label='AI response in Audio form in your preferred language')  
+      out_audio = gr.Audio(label='AI response in Audio form in your language - This will be either in Spanish, or in French or in English for all other languages -')  
       out_generated_text = gr.Textbox(label= 'AI response to your query in your preferred language using Bloom! ')
       out_generated_text_en = gr.Textbox(label= 'AI response to your query in English using Bloom! ')