Update app.py

app.py

@@ -22,12 +22,8 @@ except UnicodeDecodeError:
 vectorizer = TfidfVectorizer(stop_words='english')
 X_tfidf = vectorizer.fit_transform(medical_df['Questions'])
 
-
-# Load TinyLlama-15M model and tokenizer
-model_name = "nickypro/tinyllama-15M"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name)
-
+tokenizer = AutoTokenizer.from_pretrained("Josephgflowers/TinyLlama-3T-Cinder-v1.3")
+model = AutoModelForCausalLM.from_pretrained("Josephgflowers/TinyLlama-3T-Cinder-v1.3")
 
 # Load pre-trained Sentence Transformer model
 sbert_model_name = "paraphrase-MiniLM-L6-v2"