Update app.py

app.py

@@ -1,17 +1,12 @@
-import gradio as gr
-import torch
 from transformers import pipeline
+import gradio as gr
 
-# Load Hugging Face text generation pipeline
-pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", device_map="auto", torch_dtype=torch.float16)
+pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta")
 
-# Function to generate questions
 def generate_questions(text):
-    prompt = f"Ask 5 short, simple comprehension questions about this English coursebook text:\n\n{text}"
-    output = pipe(prompt, max_new_tokens=200, do_sample=True)[0]["generated_text"]
-    return output.strip()
-
-# Gradio Interface
-demo = gr.Interface(fn=generate_questions, inputs="textbox", outputs="textbox", title="Coursebook Question Generator")
+    prompt = f"Ask 5 short, simple comprehension questions about this English coursebook text:\n\n\"{text}\""
+    response = pipe(prompt, max_new_tokens=200)[0]["generated_text"]
+    return response
 
-demo.launch()
+demo = gr.Interface(fn=generate_questions, inputs="text", outputs="text")
+demo.launch()