Update app.py

app.py

@@ -1,27 +1,6 @@
 import gradio as gr
-import requests
-from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
-import torch
 
-model_name = "Open-Orca/Mistral-7B-OpenOrca"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype=torch.float16)
-chat = pipeline("text-generation", model=model, tokenizer=tokenizer, device_map="auto")
-
-prompt_url = "https://raw.githubusercontent.com/ALPERALL/AlpDroid/main/prompt.txt"
-system_prompt = requests.get(prompt_url).text
-
-def alp_droid_chat(user_input):
-    full_prompt = f"{system_prompt}\n\nKullanıcı: {user_input}\nAlpDroid:"
-    output = chat(full_prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_p=0.9)[0]["generated_text"]
-    return output.split("AlpDroid:")[-1].strip()
-
-app = gr.Interface(
-    fn=alp_droid_chat,
-    inputs=gr.Textbox(lines=4, placeholder="Sorunu yaz..."),
-    outputs="text",
-    title="AlpDroid - OpenOrca Mistral 7B",
-    description="Kolay deploy, zahmetsiz AlpDroid."
-)
-
-app.launch()
+gr.load(
+   "models/mistralai/Mistral-7B-Instruct-v0.3",
+   provider="together",
+).launch()