Create app.py

app.py

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+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import gradio as gr
+
+# Load model from your uploaded model repo
+model_name = "your-username/my-textgen-model"  # change this to your Hugging Face model name
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float32)
+
+def generate_text(prompt, max_length=200):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=max_length)
+    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return text
+
+iface = gr.Interface(
+    fn=generate_text,
+    inputs=[
+        gr.Textbox(label="Prompt", placeholder="Type your text here..."),
+        gr.Slider(50, 500, value=200, label="Max Length")
+    ],
+    outputs="text",
+    title="Text Generation API",
+    description="PyTorch text generation model deployed on Hugging Face"
+)
+
+iface.launch()