Update app.py

app.py

@@ -1,5 +1,23 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
 import gradio as gr
 from datasets import load_dataset
 
-dataset = load_dataset("luisotorres/wikipedia-crypto-articles")
-gr.load("models/mistralai/Mistral-7B-v0.1").launch()
+# Load the dataset
+dataset = load_dataset("luisotorres/wikipedia-crypto-articles", split='train')  # Adjust split as needed
+
+# Initialize model and tokenizer
+model_id = "mistralai/Mistral-7B-v0.1"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+# Function to generate text
+def generate_text(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=1000)  # Adjust max_new_tokens as needed
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Gradio interface
+iface = gr.Interface(fn=generate_text, inputs=gr.inputs.Textbox(lines=2, placeholder="Enter Text Here..."), outputs="text")
+
+# Launch the interface
+iface.launch()