Update app.py

app.py

@@ -1,12 +1,20 @@
 import streamlit as st
-from transformers import pipeline
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-pipe = pipeline("text-generation", model="yubi12/autotrain-crypto-degen-tweet-generator-v1", device=1)
-text = st.text_input('enter text here')
+model_path = "yubi12/autotrain-crypto-degen-tweet-generator-v1"
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    device_map="auto",
+    torch_dtype='auto'
+).eval()
 
 if text:
     messages = [
         {"role": "user", "content": text},
     ]
-    out = pipe(text)
-    st.json(out)
+    input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
+    output_ids = model.generate(input_ids.to('cuda'))
+    response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+    print(response)