Delete gradio_app.py

gradio_app.py

@@ -1,27 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-
-# Step 1: Load the pre-trained model
-# You can choose any suitable conversational model from the Hugging Face Model Hub
-chatbot = pipeline("conversational", model="EleutherAI/gpt-neo-2.7B")
-
-# Step 2: Define the function that will process user input and return the model's response
-def respond(input_text):
-    conversation = chatbot([input_text])
-    return conversation[0]["generated_text"]
-
-# Step 3: Create a Gradio interface
-# This interface will take text input from the user and display the chatbot's response
-iface = gr.Interface(
-    fn=respond,  # The function to call when the user submits input
-    inputs="text",  # The type of input (text)
-    outputs="text",  # The type of output (text)
-    title="HugChat - Your AI Chatbot",  # The title of your chatbot
-    description="Chat with an AI-powered bot based on a pre-trained model."  # A short description
-)
-
-
-
-# Step 4: Launch the interface
-if __name__ == "__main__":
-    iface.launch()