Delete app.py

app.py

@@ -1,28 +0,0 @@
-import gradio as gr
-from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
-
-# Load tokenizer and model
-model_name = "mistralai/Mistral-7B-Instruct-v0.1"
-
-# Use text-generation pipeline with model
-generator = pipeline("text-generation", model=model_name, tokenizer=model_name, device_map="auto", max_new_tokens=200)
-
-# Chat function
-def chat_with_bot(message, history=[]):
-    # Instruction format
-    prompt = f"[INST] {message} [/INST]"
-    response = generator(prompt)[0]['generated_text'].split('[/INST]')[-1].strip()
-    history.append((message, response))
-    return history, history
-
-# Gradio Chat Interface
-chat_interface = gr.ChatInterface(
-    fn=chat_with_bot,
-    chatbot=gr.Chatbot(),
-    textbox=gr.Textbox(placeholder="Ask me anything...", lines=2),
-    title="🤖 Mistral Chatbot",
-    description="Free chatbot using Mistral 7B Instruct model from Hugging Face",
-    theme="soft"
-)
-
-chat_interface.launch()