Create app.py

app.py

@@ -1,19 +1,19 @@
 import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-# Load model and tokenizer
+# Load the model and tokenizer from Hugging Face
 model_name = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B-free"
 model = AutoModelForCausalLM.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-# Function to generate text
+# Define a function to generate text from the model
 def generate_text(prompt):
     inputs = tokenizer(prompt, return_tensors="pt")
     outputs = model.generate(inputs["input_ids"], max_length=50)
     return tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-# Set up Gradio Interface
+# Create the Gradio interface
 iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
 
-# Launch app
+# Launch the app
 iface.launch()