Update app.py

app.py

@@ -14,7 +14,7 @@ class SystemMessage:
 
 
 # Choose your desired free model from the Hugging Face Hub
-model_name = "t5-small"  # Replace with your choice (e.g., facebook/bart-base or EleutherAI/gpt-neo-125M)
+model_name = "facebook/bart-base"  # Replace with your choice (e.g.,t5-small or facebook/bart-base or EleutherAI/gpt-neo-125M)
 
 # Load the model and tokenizer
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -41,17 +41,13 @@ class AIMessage:
 
 def load_answer(question):
 
-    st.session_state.sessionMessages.append(HumanMessage(content=question))
+  st.session_state.sessionMessages.append(HumanMessage(content=question))
 
-    inputs = tokenizer(question, return_tensors="pt")
-    outputs = model.generate(**inputs)
-    response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-    # Create AIMessage object after defining response_text
-    assistant_answer = AIMessage(content=response_text)
-    st.session_state.sessionMessages.append(assistant_answer)
-
-    return response_text
+  inputs = tokenizer(question, return_tensors="pt")
+  outputs = model.generate(**inputs)
+  response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+  st.session_state.sessionMessages.append(AIMessage(content=assistant_answer.content))
+  return assistant_answer.content