update

app.py

@@ -106,17 +106,27 @@ def whisper_stt(audio):
 # LLM - Bloom Response  
 def lang_model_response(prompt, language): 
   print(f"Inside lang_model_response - Prompt is :{prompt}")
-  p = """Question: How are you doing today?
+  p_en = """Question: How are you doing today?
   Answer: I am doing good, thanks.
   Question: """
+  p_es = """Pregunta: Cómo estás hoy?
+  Responder: Estoy bien, gracias.
+  Pregunta: """
+  p_fr = """Question: Comment vas-tu aujourd'hui?
+  Réponse: Je vais bien, merci.
+  Question: """
+  
   if len(prompt) == 0:
     prompt = """Question: Can you help me please?
     Answer: Sure, I am here for you.
     Question: """
   
   if language == 'en':
-    prompt = p + prompt + "\n" + "Answer: "
-  #else:
+    prompt = p_en + prompt + "\n" + "Answer: "
+  elif language == 'es':
+    prompt = p_es + prompt + "\n" + "Responder: "
+  elif language == 'fr':
+    prompt = p_fr + prompt + "\n" + "Réponse: "
     
   json_ = {"inputs": prompt,
             "parameters":
@@ -139,7 +149,7 @@ def lang_model_response(prompt, language):
   if language == 'en':
     solution = output_tmp.split("Answer: ")[2].split("\n")[0]
   else:
-    output_tmp.split(".")[1]
+    solution = output_tmp.split(".")[1]
   print(f"Final Bloom Response after splits is: {solution}")
   return solution