Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load your model and tokenizer
+model_name = "Sakshi1307/SakshiAI" 
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_answer(question):
+    inputs = tokenizer.encode(question, return_tensors='pt')
+    outputs = model.generate(inputs, max_length=500, num_return_sequences=1)
+    answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return answer
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=generate_answer,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your interview question here..."),
+    outputs="text",
+    title="Interview Simulation AI",
+    description="This AI model simulates me in an interview questions. Type in a question and see how it responds!"
+)
+
+# Launch the application
+if __name__ == "__main__":
+    iface.launch()