Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# Load model and tokenizer
+model_name = "SJSui/AstroBot"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Function to generate text
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    with torch.no_grad():
+        output = model.generate(**inputs, max_length=100)
+    return tokenizer.decode(output[0], skip_special_tokens=True)
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.Textbox(label="Enter your prompt"),
+    outputs=gr.Textbox(label="Generated Response"),
+    title="AstroBot AI Chat",
+    description="This is a chatbot powered by the AstroBot model.",
+)
+
+if __name__ == "__main__":
+    iface.launch()