Delete app.py

app.py

@@ -1,60 +0,0 @@
-# -*- coding: utf-8 -*-
-"""app.ipynb
-
-Automatically generated by Colab.
-
-Original file is located at
-    https://colab.research.google.com/drive/1qIFntwH-_zF7GkQbgjKoXMXnQpZ4HVse
-"""
-
-!pip install gradio
-!pip install streamlit
-
-!pip install transformers
-
-import gradio as gr
-import streamlit as st
-from transformers import AutoTokenizer,  AutoModelForSequenceClassification
-
-# Load the base model
-base_model_name = "Preetham04/Preetham04-sentiment-analysis"
-tokenizer = AutoTokenizer.from_pretrained(base_model_name)
-model =  AutoModelForSequenceClassification.from_pretrained(base_model_name)
-
-# Load the adapter configuration and model files
-adapter_config_path = "config.json"
-adapter_model_path = "model.safetensors"
-
-# Load the adapter into the model
-adapter_name = "custom_adapter"  # Define your adapter name
-model.load_adapter(adapter_config_path, model_file=adapter_model_path, load_as=adapter_name)
-
-# Activate the adapter
-model.set_active_adapters(adapter_name)
-
-st.title("🤖 Chatbot with Adapter-Enhanced Model")
-st.write("Interact with your custom adapter-enhanced model. Type a message and get responses!")
-
-# Initialize or retrieve the chat history
-if 'history' not in st.session_state:
-    st.session_state['history'] = []
-
-# Initialize Gardio
-chatbot = Gardio(model=model, tokenizer=tokenizer)
-
-# Define responses for greetings
-@chatbot.on_event("welcome")
-def welcome_handler(payload):
-    return "Welcome! Type a message and get responses from the chatbot."
-
-# Define responses for user messages
-@chatbot.on_message
-def message_handler(payload):
-    user_input = payload["message"]
-    response = chatbot.generate_response(user_input)
-    return response
-
-# Run Gardio
-if __name__ == "__main__":
-    chatbot.run()
-