Update app.py

app.py

@@ -4,22 +4,4 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 model_1 = AutoModelForCausalLM.from_pretrained("mosaicml/mpt-7b-chat",trust_remote_code=True )
 tokenizer_1 = AutoTokenizer.from_pretrained("mosaicml/mpt-7b-chat")
 
-# Load the second model and tokenizer
-model_2 = AutoModelForCausalLM.from_pretrained("nomic-ai/gpt4all-j")
-tokenizer_2 = AutoTokenizer.from_pretrained("nomic-ai/gpt4all-j")
-
-def generate_responses(prompt):
-    # Encode the prompt using both tokenizers
-    input_ids_1 = tokenizer_1.encode(prompt, return_tensors="pt")
-    input_ids_2 = tokenizer_2.encode(prompt, return_tensors="pt")
-
-    # Generate responses using both models
-    output_1 = model_1.generate(input_ids_1, max_length=50, num_return_sequences=1)
-    output_2 = model_2.generate(input_ids_2, max_length=50, num_return_sequences=1)
-
-    # Decode the responses using the corresponding tokenizers
-    response_1 = tokenizer_1.decode(output_1[0], skip_special_tokens=True)
-    response_2 = tokenizer_2.decode(output_2[0], skip_special_tokens=True)
-
-    return response_1, response_2