app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the model and tokenizer
model_name = "CharacterEcho/Rohit-Sharma"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Function to generate responses
def generate_response(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    output = model.generate(inputs.input_ids, max_length=50, temperature=0.7, top_p=0.95, do_sample=True)
    response = tokenizer.decode(output[0], skip_special_tokens=True)
    return response

# Gradio interface
interface = gr.Interface(
    fn=generate_response,
    inputs="text",
    outputs="text",
    title="Rohit Sharma AI",
    description="Ask Rohit Sharma anything!"
)

# Launch the app
interface.launch()