add files

app.py

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+from transformers import pipeline 
+import gradio as gr 
+
+generator = pipeline("text-generation", 
+                     model="microsoft/Phi-4-mini-instruct",
+                     torch_dtype="auto",
+                     device_map="auto")
+
+def generate_text(prompt):
+    messages = [
+        {"role":"system", "content":"You are a helpful AI assistant"},
+        {"role":"user", "content":prompt}
+    ]
+    outputs = generator(
+        messages,
+        max_new_tokens = 100,
+        do_sample=True,
+        temperature=0.7,
+        return_full_text = False
+    )
+    return outputs[0]["generated_text"]
+
+demo = gr.Interface(
+    fn = generate_text,
+    inputs = gr.Textbox(label="Give an input"),
+    outputs= gr.Textbox(label="Output"),
+    title="Text Generation App"
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+torch
+transformers
+gradio
+accelerate
+safetensors