Update app.py

app.py

@@ -2,7 +2,7 @@
 # from transformers import AutoModelForCausalLM, AutoTokenizer
 
 from gpt4all import GPT4All
-model = GPT4All("./wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin")
+model = GPT4All("wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin")
 
 # #----------------------------------------------------------------------------------------------------------------------------
 # # !pip install -q accelerate==0.21.0 peft==0.4.0 bitsandbytes==0.40.2 transformers==4.31.0 trl==0.4.7
@@ -119,13 +119,13 @@ model = GPT4All("./wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin")
 
 
 def generate_text(prompt):
-    # # output = model.generate(input_text)
+    result = model.generate(prompt)
     # pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200)
     # result = pipe(f"<s>[INST] {prompt} [/INST]")
     # # prompt = "What is a large language model?"
     # # input_ids = tokenizer.encode(prompt, return_tensors="pt")
 
-    output = model.generate(input_ids, max_length=200, num_return_sequences=1)
+    # output = model.generate(input_ids, max_length=200, num_return_sequences=1)
     # result = tokenizer.decode(output[0], skip_special_tokens=True)
     return result