Update app.py

app.py

@@ -3,23 +3,25 @@ import requests
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 import torch
 
-model_name = "TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ"
+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")
 
-# AlpDroid prompt
 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 = f"{system_prompt}\n\nKullanıcı: {user_input}\nAlpDroid:"
-    res = chat(full, max_new_tokens=256, do_sample=True, temperature=0.7, top_p=0.9)[0]["generated_text"]
-    return res.split("AlpDroid:")[-1].strip()
+    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 = gr.Interface(alp_droid_chat,
-                   inputs=gr.Textbox(lines=4, placeholder="Sorunu yaz..."),
-                   outputs="text",
-                   title="AlpDroid (SOLAR‑10.7B)",
-                   description="TheBloke'un instruct modeliyle çalışan AlpDroid.")
 app.launch()