updated app.py

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load the model and tokenizer
+model_name = "tiiuae/falcon-11b"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Define the inference function
+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)
+
+# Create the Gradio interface
+interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+interface.launch()