Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Pretrained model load karo (direct original repo se)
+model_name = "username-of-original-author/uitars1.5"  # ← Replace karo actual model path se
+generator = pipeline("text-generation", model=model_name)
+
+# Text generate karne ka function
+def generate_text(prompt):
+    result = generator(prompt, max_new_tokens=100, do_sample=True)
+    return result[0]["generated_text"]
+
+# Gradio Interface
+gr.Interface(
+    fn=generate_text,
+    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt..."),
+    outputs="text",
+    title="UITARS 1.5 Text Generator"
+).launch()