Update app.py

app.py

@@ -1,43 +0,0 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
-import os
-
-# Use the Hugging Face Inference API
-client = InferenceClient("01-ai/Yi-Coder-9B-Chat")
-
-# Load the dataset
-with open("dataset.txt", "r", encoding='utf-8') as f:
-    dataset = f.read()
-
-def chatbot_response(user_input):
-    # Combine the dataset and user input
-    prompt = f"""Based on the following dataset, answer the user's question:
-
-Dataset:
-{dataset}
-
-User question: {user_input}
-
-Answer:"""
-
-    # Use the Inference API to generate a response
-    response = client.text_generation(prompt, max_new_tokens=500, temperature=0.7)
-    return response
-
-# Set up the Gradio interface
-with gr.Blocks() as chat_interface:
-    gr.Markdown("# CPSL Chatbot")
-    chat_history = gr.Chatbot()
-    user_input = gr.Textbox(label="Your Message:")
-    send_button = gr.Button("Send")
-
-    def interact(user_message, history):
-        bot_reply = chatbot_response(user_message)
-        history.append((user_message, bot_reply))
-        return history, history
-
-    send_button.click(interact, inputs=[user_input, chat_history], outputs=[chat_history, chat_history])
-
-# Launch the interface
-if __name__ == "__main__":
-    chat_interface.launch()