Upload app .py

app .py

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+
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+# Use a public, non-gated model to avoid auth issues
+model_id = "tiiuae/falcon-rw-1b"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat_with_cael(prompt):
+    result = generator(prompt, max_length=200, do_sample=True, top_k=50)[0]["generated_text"]
+    return result
+
+iface = gr.Interface(fn=chat_with_cael, 
+                     inputs=gr.Textbox(lines=2, placeholder="Talk to Cael..."),
+                     outputs="text",
+                     title="Cael: Your AI Companion",
+                     description="This is a simple early version of Cael using Falcon-RW-1B. Fully free and open!")
+
+iface.launch()