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Update app.py
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app.py
CHANGED
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@@ -6,8 +6,8 @@ from transformers import AutoTokenizer, AutoModelForCausalLM, TextGenerationPipe
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alp_prompt_url = "https://raw.githubusercontent.com/ALPERALL/AlpDroid/main/prompt.txt"
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alp_prompt = requests.get(alp_prompt_url).text.strip()
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#
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model_id = "
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype="auto")
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@@ -18,7 +18,6 @@ pipeline = TextGenerationPipeline(model=model, tokenizer=tokenizer)
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def chat(prompt):
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full_prompt = f"{alp_prompt}\n\nKullanıcı: {prompt}\nAlpDroid:"
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result = pipeline(full_prompt, max_new_tokens=200, temperature=0.8, top_p=0.9)[0]["generated_text"]
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# Sadece cevabı almak için promptu ayıkla
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response = result.split("AlpDroid:")[-1].strip()
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return response
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@@ -26,5 +25,5 @@ def chat(prompt):
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gr.Interface(fn=chat,
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inputs=gr.Textbox(label="Mesajını yaz, AlpDroid cevaplasın"),
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outputs=gr.Textbox(label="AlpDroid"),
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title="🧠 AlpDroid (
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description="
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alp_prompt_url = "https://raw.githubusercontent.com/ALPERALL/AlpDroid/main/prompt.txt"
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alp_prompt = requests.get(alp_prompt_url).text.strip()
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# Yeni model (tamamen açık kaynak)
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model_id = "tiiuae/falcon-7b-instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype="auto")
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def chat(prompt):
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full_prompt = f"{alp_prompt}\n\nKullanıcı: {prompt}\nAlpDroid:"
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result = pipeline(full_prompt, max_new_tokens=200, temperature=0.8, top_p=0.9)[0]["generated_text"]
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response = result.split("AlpDroid:")[-1].strip()
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return response
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gr.Interface(fn=chat,
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inputs=gr.Textbox(label="Mesajını yaz, AlpDroid cevaplasın"),
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outputs=gr.Textbox(label="AlpDroid"),
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title="🧠 AlpDroid (Falcon 7B)",
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description="AlpDroid şu anda Falcon 7B ile çalışıyor. Özgür, eğlenceli ve asi.").launch()
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