Update app.py

app.py

@@ -1,13 +1,10 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
-from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-2b")
-model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b")
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+client = InferenceClient("google/gemma-2-2b")
 
 
 def respond(
@@ -28,23 +25,20 @@ def respond(
 
     messages.append({"role": "user", "content": message})
     response = ""
-    inputs = tokenizer(message, return_tensors="pt")
-    
-    generate_ids = model.generate(inputs.input_ids, max_length=30)
-    response = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+
     # Load model directly
-    yield response
-    # for message in client.chat_completion(
-    #     messages,
-    #     max_tokens=max_tokens,
-    #     stream=True,
-    #     temperature=temperature,
-    #     top_p=top_p,
-    # ):
-    #     token = message.choices[0].delta.content
 
-    #     response += token
-    #     yield response
+    for message in client.chat_completion(
+        messages,
+        max_tokens=max_tokens,
+        stream=True,
+        temperature=temperature,
+        top_p=top_p,
+    ):
+        token = message.choices[0].delta.content
+
+        response += token
+        yield response
 
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface