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commited on
Upload 4 files
Browse files- app.py +29 -9
- db_utils.py +64 -0
- gpt_utils.py +21 -0
- requirements.txt +4 -1
app.py
CHANGED
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import gradio as gr
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import dotenv
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import os
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dotenv.load_dotenv()
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PW=os.getenv("PW")
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def
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return
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output = gr.Textbox(label="Output Box")
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greet_btn = gr.Button("Greet")
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greet_btn.click(fn=greet, inputs=name, outputs=output, api_name="greet")
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import gradio as gr
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import dotenv
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import os
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from gpt_utils import update_text_with_ai
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from db_utils import supabase, get_next_row_id, get_text_by_row_id
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dotenv.load_dotenv()
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PW=os.getenv("PW")
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def apply_ai_func(text, request: gr.Request):
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updated_text2 = update_text_with_ai(text)
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return updated_text2
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def add_to_db_func(text, request: gr.Request):
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#data, count = supabase.table('eso-tr').update({'updated_text': text}).eq('id', 1).execute()
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pass
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def get_next_func(request: gr.Request):
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next_id = get_next_row_id(user_name=request.username)
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text=get_text_by_row_id(next_id)
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return next_id, text
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with gr.Blocks(analytics_enabled=False) as demo:
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get_from_db = gr.Button("🗂️Sıradaki Veriyi Çek🗂️")
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with gr.Row():
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text_id = gr.Number(label="Satır NO:", interactive=False,scale= 1)
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original_text = gr.Textbox(label="Orjinial Yazı:", interactive=False,scale= 5)
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apply_ai = gr.Button("✨BÜYÜ YAP✨")
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updated_text = gr.Textbox(label="Düzeltilmiş Yazı:")
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add_to_db = gr.Button("📥Veri Tabanına Yükle📥")
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get_from_db.click(fn=get_next_func, outputs=[text_id, original_text])
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apply_ai.click(fn=apply_ai_func, inputs=original_text, outputs=updated_text)
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add_to_db.click(fn=add_to_db_func, inputs=updated_text)
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demo.launch(auth=[("kerem", PW), ("mehmet", PW)],favicon_path="./tugra_logo.png")
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db_utils.py
ADDED
@@ -0,0 +1,64 @@
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import os
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import re
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import random
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from supabase.client import ClientOptions
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from supabase import create_client, Client
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from dotenv import load_dotenv
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load_dotenv()
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user_name_to_range = {'kerem': (1, 1000), 'mehmet': (1001, 2001), 'ege': (2001, 1013817)}
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url: str = os.environ.get("SUPABASE_URL")
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key: str = os.environ.get("SUPABASE_KEY")
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supabase: Client = create_client(url, key, options=ClientOptions(postgrest_client_timeout=300))
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def eso_replace_string(from_: str, to_: str, text: str):
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# Regex pattern:
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# \w*1\w* - En az bir '1' içeren kelimeleri bulur.
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# Ancak bu, sadece "1" içeren tek karakterleri de içerebilir ve bu yüzden toplam uzunluğu kontrol ediyoruz.
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pattern = fr'\b\w*{from_}\w*\b'
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# Metindeki tüm kelimeler üzerinde dön
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for word in re.findall(pattern, text):
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# Eğer kelime en az 2 karakter içeriyorsa ve en az bir harf içeriyorsa
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if len(word) > 1 and re.search("[a-zA-Z]", word):
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modified_word = word.replace(from_, to_)
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text = text.replace(word, modified_word)
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return text
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# Dosyayı açıp içeriğini okuyan ve içeriği bir string olarak döndüren fonksiyon
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def dosyayi_oku(dosya_yolu):
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try:
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with open(dosya_yolu, 'r', encoding='iso-8859-9') as dosya:
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icerik = dosya.read()
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return icerik
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except FileNotFoundError:
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print("Dosya bulunamadı.")
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except Exception as e:
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print(f"Bir hata oluştu: {e}")
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def get_next_row_id(user_name: str):
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row_range = user_name_to_range[user_name]
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data, count = supabase.table('eso-tr').select('id').gte('id', row_range[0]).lt('id', row_range[1]).eq('done', False).limit(1).execute()
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text_id = data[1][0]['id']
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return text_id
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def get_text_by_row_id(id: int):
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data, count = supabase.table('eso-tr').select('text').eq('id', id).limit(1).execute()
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text = data[1][0]['text']
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return text
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def add_updated_text_to_db(text: str):
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pass
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gpt_utils.py
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from litellm import completion
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import os
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from dotenv import load_dotenv
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import litellm
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load_dotenv()
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system_prompt = """
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You are ChatGPT, a large language model trained by OpenAI.
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Carefully heed the user's instructions.
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Respond using Markdown.you know turkish
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sana verilen cumledeki hatalari gidericeksin
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1 yerine ı, 0 yerine İ, _ yerine ş, yerine ğ, ^ yerine Ş yerleştirilecek
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& ve \n işaretlerini değiştirme
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"""
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def update_text_with_ai(text: str):
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response = completion("azure/gpt-4-0125-preview", messages = [{ "content": system_prompt,"role": "system"},{ "content": text,"role": "user"}])
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updated_text = response.choices[0].text['content']
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return updated_text
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requirements.txt
CHANGED
@@ -1,2 +1,5 @@
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gradio==4.18.0
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python-dotenv
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gradio==4.18.0
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python-dotenv
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supabase
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tqdm
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litelmm=1.24.3
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