Update app.py

app.py

@@ -1,14 +1,27 @@
 import gradio as gr
-from transformers import T5ForConditionalGeneration, T5Tokenizer
+from huggingface_hub import InferenceClient
+import os
 
-model = T5ForConditionalGeneration.from_pretrained("t5-base")
-tokenizer = T5Tokenizer.from_pretrained("t5-base")
+client = InferenceClient(
+	provider="sambanova",
+	api_key= os.getenv("superSecretKey")
+)
 
 def evaluate_password_strength(password):
-    input_text = f"Rate the strength of the password: {password}"
-    inputs = tokenizer(input_text, return_tensors="pt")
-    output = model.generate(**inputs)
-    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    messages = [
+        {
+            "role": "user",
+            "content": f"Rate the strength of the password: {password} as either 'Weak', 'Medium', or 'Strong'"
+        }
+    ]
+
+    completion = client.chat.completions.create(
+        model="meta-llama/Llama-3.1-8B-Instruct", 
+        messages=messages, 
+        max_tokens=500
+    )
+
+    response = completion.choices[0].message["content"]
     return response
 
 demo = gr.Interface(