app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load your model
print("Loading the model......")
model_name = "WICKED4950/Irisonego5"
tokenizer = AutoTokenizer.from_pretrained(model_name) 
model = AutoModelForCausalLM.from_pretrained(model_name)

print("Interface getting done....")
# Define the chatbot function
def chatbot(input_text):
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model.generate(inputs["input_ids"], max_length=100)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return response

# Gradio interface
iface = gr.Interface(fn=chatbot, 
                     inputs="text", 
                     outputs="text", 
                     title="Your Chatbot")
print("Deploying")
iface.launch()