Update app.py

app.py

@@ -1,15 +1,14 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModelForCausalLM
 
-MODEL = "HuggingFaceH4/zephyr-7b-beta"  # Public and safe for Spaces
+def chat(input_text):
+    return f"MiniCrit Demo Received: {input_text}"
 
-tokenizer = AutoTokenizer.from_pretrained(MODEL)
-model = AutoModelForCausalLM.from_pretrained(MODEL)
+iface = gr.Interface(
+    fn=chat,
+    inputs="text",
+    outputs="text",
+    title="MiniCrit Demo",
+    description="Demo interface placeholder."
+)
 
-def chat(message, history):
-    inputs = tokenizer(message, return_tensors="pt")
-    outputs = model.generate(**inputs, max_new_tokens=256)
-    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    return response
-
-gr.ChatInterface(chat, title="MiniCrit Demo").launch()
+iface.launch()