Update app.py

app.py

@@ -1,20 +1,9 @@
 import gradio as gr
-from transformers import AutoModelForCausalLM, AutoTokenizer
 
-# Load the model and tokenizer
-model_name = "OrionStarAI/Orion-14B-App-Demo-EN"
-model = AutoModelForCausalLM.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-# Define the chat function
 def chat(input_text):
-    inputs = tokenizer(input_text, return_tensors="pt")
-    outputs = model.generate(**inputs, max_length=150)
-    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    inputs = tokenizer.encode(input_text, return_tensors="pt")
+    outputs = model.generate(inputs)
+    response = tokenizer.decode(outputs[0])
     return response
 
-# Create the Gradio interface
-iface = gr.Interface(fn=chat, inputs="text", outputs="text", title="ChatGPT-like Model")
-
-# Launch the interface
-iface.launch()
+gr.Interface(fn=chat, inputs="text", outputs="text").launch()