adding files in the model

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+model_id = "meta-llama/Llama-3.1-8B-Instruct"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def bust_myth(statement):
+    prompt = f"""
+You are a cultural myth-busting assistant.
+Your task is to:
+1. Determine if the following statement is true, false, or partially true.
+2. If it's a misconception, explain why it's incorrect.
+3. Provide the correct information with a short cultural context.
+
+Statement: "{statement}"
+"""
+    result = pipe(prompt, max_new_tokens=300, temperature=0.7)[0]["generated_text"]
+    return result
+
+gr.Interface(
+    fn=bust_myth,
+    inputs=gr.Textbox(label="Enter a cultural or world belief", lines=3, placeholder="E.g. All Canadians live in igloos."),
+    outputs="text",
+    title="🌍 World Fact & Misconception Buster",
+    description="Enter a statement about a country, culture, or people. The AI will fact-check and explain it."
+).launch()
+