Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/starchat2-15b-v0.1")
+tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/starchat2-15b-v0.1")
+
+# Function for inference
+def generate_text(input_text):
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Gradio interface
+iface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="Project Build",
+    description="Generate text using the StarChat model."
+)
+
+# Launch the app
+iface.launch()