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app.py

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+# Libraries
+import streamlit as st
+from PIL import Image
+
+# Confit
+st.set_page_config(page_title='AçıkHack2023TDDI', page_icon=':bar_chart:', layout='wide')
+
+# Title
+st.title('Teknofest 2023 Türkçe Doğal Dil İşleme Yarışması')
+
+# Content
+
+st.write(
+    """
+    Türkiye Açık Kaynak Platformu, Türkçe Doğal Dil İşleme konusunda farkındalık yaratmak amacıyla çevrimiçi 
+    bir yarışma düzenliyor. Yarışma sırasında katılımcılardan verilen bir veri seti üzerinden aşağılayıcı 
+    söylemlerin doğal dil işleme ile tespiti istenecektir.
+    
+    Bu kullanıcı arayüzü, bu kapsamda geliştirilmiş olup çalışmalarımız sonucunda elde edilen model için tahmin, 
+    canlı izleme ve geri bildirim gibi işlemleri gerçek ortamda test etmek amacıyla **Brain-Tr** takımı 
+    tarafından geliştirilmiştir.
+
+    """
+)
+
+st.subheader('Metodoloji')
+st.write(
+    """
+    Bu çalışma, yarışma kapsamında geliştirilen model öncelikle metin bazlı sınıflandırma işlemini **(Tahmin)**, daha 
+    sonra sistemin canlı bir tweetter Hashtag ile test edilmesini **(Canlı İzle)**, bir sonraki aşamada tahmin işlemlerinde
+    kullanıcıdan gelen geri bildirimlerin toplanmasını **(Geri Bildirim)** ve son olarak geri bildirim ile toplanan
+    verilerin tekrar eğitime alınarak model performansının geliştirlmesini **(Model Eğitimi)** sağlamak üzere inşa 
+    edilmiştir. 
+    
+    **TAHMİN** : Tahmin ekranı, kullanıcıdan alınan metnin, mesajın veya herhangi bir konuşma ifadesinin yarışma
+    kapsamında sınıflandırılan konular içerisinde ki durumunun tespit edilmesine yöneliktir. Kullanıcı modele verdiği
+    metne göre modelden gelen tahmini görecek,doğru olarak veya yanlışsa olması gereken sınıfı seçerek geri bildirimde 
+    bulunacaktır.
+    
+    **CANLI İZLE** : Canlı izleme ekranı, tweetter üzerinde ki bir konuyu takibe alarak sürekli dinleme ile gelen 
+    mesajları modelde değerlendirerek bunun grafiksel ekranda takibini sağlayacaktır. Ayrıca burada takibe alınan konuda
+    ki mesajlar kaydedilerek belirli bir kategoriye giren mesajlar ve o mesajın sahibinin takibi sağlanacaktır.
+    
+    **GERİ BİLDİRİM** : Geri bildirim ekranı, tahmin ekranında kullanıcı tarafından gönderilen mesajları ve o
+    kullanıcının etiketlediği sınıfların görüntülendi bölümdür. Burası veri görüntüleme ekranıdır.
+    
+    **MODEL EĞİTİMİ** : Model eğitim ekranı, tahmin ekranında gelen kullanıcı geri bildirimlerini alarak modelin tekrar
+    eğitilmesini gerçekleştirecektir. Burada ki amaç model performasını kullanıcıdan gelen doğru bilgiler ışığında daha
+    yükseklere taşımaktır. 
+    
+    """
+)
+
+
+c1, c2, c3 = st.columns(3)
+with c1:
+    st.info('**Data Analyst: [@Brain-Tr](https://github.com/tr-brain-com)**', icon="💡")
+with c2:
+    st.info('**GitHub: [@Brain-Tr](https://github.com/tr-brain-com)**', icon="💻")
+with c3:
+    st.info('**Data :  [Eğitim Veri Kümesi](https://github.com/tr-brain-com/acikhack2023TDDI/tree/main/data)**', icon="🧠")

data.py

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+# Libraries
+import streamlit as st
+import pandas as pd
+
+# Data Sources
+# @st.cache(ttl=1000, allow_output_mutation=True)
+def get_data(query):
+    if query == 'Transactions Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/579714e6-986e-421a-85dd-c32a8b41b25c/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/f06a4840-9310-41c7-b2b2-1c812884d728/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d543922f-c8b6-4dc9-9caf-91954b3573d4/data/latest')
+        # axelar = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/4ff35680-e680-45c0-b6e9-2c63e6f92156/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/97d2d421-ebda-4dae-87da-6f27b4478e52/data/latest')
+        # cosmos = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/8cac9410-e4de-4cbe-b146-c6f7f1f053dc/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/572f2d6e-4b65-47b7-9dd6-be0710c6e024/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/8a0d84a3-bb18-4815-a36e-850c719b10c3/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/e26eeb64-7bf2-42cb-9222-2e6d6483d053/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/314e9e48-52ef-466c-a848-3e95957ee9fc/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/72c31b05-ec16-4533-a2ec-409a49bbe492/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/20a3e7ff-fcf5-43f6-bc12-90a9544b55a0/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/8ea10e70-c838-4a94-b1ef-0cb282e5ced1/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/e01d82cc-9b5d-4166-af72-6110f4947140/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, axelar, bsc, cosmos, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana]
+        #         ).sort_values('Blockchain').reset_index(drop=True)
+
+    elif query == 'Transactions Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/4e0c69ff-9395-43c1-af49-f590f864d339/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/7b550fd2-39be-465d-9191-a45d8eb2678b/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/b076d022-c0a5-4556-abdb-4b993d04d4a4/data/latest')
+        # axelar = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/c9574cb4-1b02-4141-a52c-3a68475adf33/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/16aa6493-8602-483e-b691-a5067ca47595/data/latest')
+        # cosmos = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/2c7806ff-70db-40e5-832e-35ec080a60e0/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/22f763f9-f927-4875-b3e2-8cd750aae442/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/bf921f59-fe45-4e1d-9bc1-3ddea006fd19/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/70395b58-ba81-49a5-90fe-6412786e0293/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/a8e2c436-327d-4a89-a829-76d3574ef16f/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/dc627865-c013-49be-bb1f-648bd62c59d1/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d4a7ec49-4e64-4aa2-a378-87104c8a9521/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/19453ea9-c03f-48e5-b1e9-13742190d551/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/e584be47-893a-460d-94a0-f217efe14fda/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, axelar, bsc, cosmos, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana]
+        #         ).sort_values(['Date', 'Blockchain']).reset_index(drop=True)
+
+    elif query == 'Transactions Heatmap':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/9d8d54d4-b700-4d85-af17-8c29aa29d334/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/c6e9e418-1bba-401e-8275-ff71401e9ae2/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ae43bcac-4cfe-4e9d-9eb9-8413e623f544/data/latest')
+        # axelar = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/a8041ee1-5d59-4105-a493-981c392e9e83/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/2b03f2a3-c48e-41d0-9507-f6dbac69b6ce/data/latest')
+        # cosmos = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/5de98199-0a6e-4062-bf5e-5e1e41ce5696/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/3461c085-6949-4822-8eaf-1660ec80faeb/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/90219f8f-7700-4083-9db0-99a3047bca95/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/1bd8d28e-ff39-462c-8d0f-7f68143a0e35/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/eae96499-833b-4fd0-ac41-2e12d2cfc84a/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/767aeab2-6af9-4896-81d5-f3c76e0a4092/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/040ca9ec-c5e5-4f93-b35f-40a9e365aabc/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d84043fc-fc53-4db3-9607-80fec40eae81/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/852b71d4-c08c-4eea-9b11-38ac7cc8a63c/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, axelar, bsc, cosmos, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana]
+        #         ).sort_values(['Day', 'Hour', 'Blockchain']).reset_index(drop=True)
+
+    elif query == 'New Users Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/d81c5861-0792-43ec-9f92-d89fbcf85e79/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ff167b88-3f93-416f-a145-8dd899473ba4/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/478ca10d-e45f-4ef4-bd82-eda76b08911d/data/latest')
+        # axelar = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/27409124-5c7d-4b79-a20d-2c3e6e47af60/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/37e21782-f2c0-4e58-86e0-97d60fbb2b40/data/latest')
+        # cosmos = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/a71d9d01-661d-4b1e-be7d-f26af9722e09/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/6654b8bc-b684-42ef-90bf-0395b8e571dd/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/e2b8e7f6-b19f-4ff6-b16e-d383b9c4df53/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/5667daa1-496e-4068-adb3-1b03aa5f8642/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/8524fa45-f475-4811-b3ec-e48b65261c48/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/3f4a8c40-79e2-4667-9fc8-86a04ed34d4f/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/4fa61bb5-aae5-4d58-92ef-5a39af629ac2/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/e1455d7a-ab1f-4b30-834f-85dca80a7d88/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/73306514-dd1f-4a18-8c55-e1c024520130/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, axelar, bsc, cosmos, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana]
+        #         ).sort_values(['Date', 'Blockchain']).reset_index(drop=True)
+
+    elif query == 'Fee Payers':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/7eae69ea-2387-420d-b4b9-6eceeb5ef22d/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/fa2e6071-6c07-4efd-a765-99a002b77821/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/6429c5d5-e630-44b2-ad38-10c166a7939a/data/latest')
+        # axelar = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ef7485a3-b99a-4ed1-a9fe-f8b7dc237e98/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/2520e7d9-8529-4938-b155-51ffa65952e5/data/latest')
+        # cosmos = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/1ba5412c-50aa-458f-8bdd-dbab0118855d/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/75234e0e-851b-413c-b76a-367209f0f907/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ffd908f4-8596-4810-88b4-498bf1fad2f7/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/fd5da965-939d-48a6-9459-9d8f40a684e8/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/0b30976a-25a8-4b79-8fcd-07b6901d6a5c/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/6686a6d9-5eb0-4c34-86bc-46cdb949202f/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/2b1e0d17-0eb5-4235-bf5f-63b0408dc98b/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/0765116e-4a51-4853-b3f6-af21c1f6aedf/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/bfbeafa1-6cd1-4680-a8fb-b7246df70b84/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, axelar, bsc, cosmos, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana]
+        #         ).sort_values('Blockchain').reset_index(drop=True)
+
+    elif query == 'Swaps Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/b3d90320-3fcb-44f0-b0b9-3f72ee779dcb/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/e0379ed9-44e9-4cad-8a5b-885bf08836a5/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/642c87d9-461e-40c4-b904-f3d1fc5ee349/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/18c33d5b-9dd5-403f-95a0-c562ca61736f/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/bba010dd-b5ce-4682-a04c-ab30282b07ff/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/025ca622-5f5a-4aa8-bc0c-794d49e5e651/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/7b78d096-8e7a-4a8a-bd58-aa23ea963d9e/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/89e9448d-1562-44ac-9afe-86d70a53de31/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/139e40ba-ebde-4be6-afc9-31a6c984d720/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/0dfb8d98-b739-4145-adea-ea5c3e739a1d/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/1a236b32-9cd4-4cba-a57a-cdb273d90d61/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/12eb8a6c-af55-4b84-9b8c-c7cf132f33fd/data/latest')
+        # thorchain = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/fb99ddc5-0570-4219-89e3-3ac4d9e236b7/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, bsc, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana, thorchain]
+        #         ).sort_values('Blockchain').reset_index(drop=True)
+
+    elif query == 'Swaps Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/fed187af-6c8e-49fc-82d1-1975926e3951/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/0d131400-82a0-4fb8-9032-b548da63f9b1/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/53313b42-f68a-41ea-95d3-c37878d8b025/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/c4112917-9a2e-4055-bf96-c624de286149/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/8d4ebda0-697d-4310-8611-095555c25dad/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/be80508e-f217-42fa-b0ef-47f49a3526b2/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/7f37184a-f731-405b-9f4d-3b7cd49a4779/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ae24a06b-c590-4d44-81f3-223fd8ba4163/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/dc073155-1bde-4607-b766-2d3e402cacf1/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/2b30893a-cfec-4341-8091-6b601cd80ea0/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d6cc6941-c6f3-4a98-b2a2-03397ed7c930/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d56ebd12-2f0d-4ca1-8226-71450c2a2b20/data/latest')
+        # thorchain = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/457c96a4-db5c-47ee-939a-9d5af8fdf414/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, bsc, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana, thorchain]
+        #         ).sort_values(['Date', 'Blockchain']).reset_index(drop=True)
+
+    elif query == 'Swaps Heatmap':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/3fa50926-77bc-44f8-b190-7bd48d408c85/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/dd45ef88-7d17-43ef-8cd4-a6f3eba37cb0/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ab6a2adf-a410-4bc3-9a84-d530d8f34cf0/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/4211617f-263f-44f2-b2ae-6c25fb024ede/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/07957cc6-6543-4e85-9432-7281d44230ad/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/dccbbe78-3d61-4c75-a7c9-8b86b24bb4a4/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/53fe4557-6d1b-4f7a-81c3-4f3df5ba2972/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/caccd7b2-8e7f-443b-a869-e835200c600c/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/889af633-47fd-4bf6-81ea-8337710b1f33/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ead43212-59f5-4507-ab97-5dce45707d74/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/6eaa530c-bce3-441c-b0d0-58ca7397ddde/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/6e67fc7b-ade7-4463-9d84-1a965c2ab440/data/latest')
+        # thorchain = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d3ba2a17-4c2f-4127-b01e-7c7f839f55fb/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, bsc, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana, thorchain]
+        #         ).sort_values(['Day', 'Hour', 'Blockchain']).reset_index(drop=True)
+
+    elif query == 'Swaps DEXs Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/9e0dace3-69d7-44fb-810c-e3b819b2b8de/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/28304b7b-ef53-4593-982b-236f8433f08d/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/3df68b21-6bb1-4784-a729-d847ec4b2c5a/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/39db7d11-998a-45b0-bfa7-4beed1cc637a/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ef86688e-e670-4009-8382-97bc2d604d4f/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/290cd087-a044-4b91-a632-2db4b980a0b0/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/25c8e842-68d6-40da-84b9-d1aced72fbe3/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/ed17a9ad-3553-472f-91e9-10e8a3821081/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/f763bcd2-00ec-4232-92c9-950732454812/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d98bf978-d2aa-4f25-a6cf-94948bf7946e/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d3c91e0e-9c4f-4684-9f44-41edfff2837d/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/9c2ed132-4431-4ad5-b699-eb1914047aac/data/latest')
+        # thorchain = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/e77c2584-eda8-4fca-8603-9b6b43dd4b74/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, bsc, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana, thorchain]
+        #         ).sort_values('Blockchain').reset_index(drop=True)
+
+    elif query == 'Swaps DEXs Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/5563d79a-a937-4e04-a74e-b75f284c57cb/data/latest')
+        # arbitrum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/f85c62de-fa93-48ab-9bdb-a817240a6f33/data/latest')
+        # avalanche = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/a51e0d19-8bf4-4ca5-be42-ce7e9a0bfcd8/data/latest')
+        # bsc = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/4b70f072-d01d-449d-ae4e-924680ac204c/data/latest')
+        # ethereum = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/9d1a9b9d-f267-416f-bc1a-ad9374d213c6/data/latest')
+        # flow = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/b24cd36f-2198-48f8-9b7e-5a0cb4765c5b/data/latest')
+        # gnosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/4ce90e06-4f10-4191-8681-2c684ff505b8/data/latest')
+        # near = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/b7f36f44-39dc-486e-8632-c7b9a44a2874/data/latest')
+        # optimism = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/c5aaacca-08bb-424b-ad21-aa7b588acccb/data/latest')
+        # osmosis = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/7512923d-4d62-497f-a3c5-1a16b815877e/data/latest')
+        # polygon = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/d517eab7-ed00-46f0-9c5c-18d4af6254de/data/latest')
+        # solana = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/6c3f1328-bd77-4000-8b6b-504c2d0f2189/data/latest')
+        # thorchain = pd.read_json('https://api.flipsidecrypto.com/api/v2/queries/7fbba281-a095-43c4-82d7-98a685e71ef7/data/latest')
+        # return pd.concat(
+        #     [arbitrum, avalanche, bsc, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana, thorchain]
+        #         ).sort_values(['Date', 'Blockchain']).reset_index(drop=True)
+
+    # elif query == 'Swaps Overview':
+    #     arbitrum = pd.read_json('')
+    #     avalanche = pd.read_json('')
+    #     axelar = pd.read_json('')
+    #     bsc = pd.read_json('')
+    #     cosmos = pd.read_json('')
+    #     ethereum = pd.read_json('')
+    #     flow = pd.read_json('')
+    #     gnosis = pd.read_json('')
+    #     near = pd.read_json('')
+    #     optimism = pd.read_json('')
+    #     osmosis = pd.read_json('')
+    #     polygon = pd.read_json('')
+    #     solana = pd.read_json('')
+    #     return pd.concat(
+    #         [arbitrum, avalanche, axelar, bsc, cosmos, ethereum, flow, gnosis, near, optimism, osmosis, polygon, solana]
+    #             ).sort_values('Blockchain').reset_index(drop=True)
+
+    elif query == 'Transfers Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/41eb418f-d231-4a1f-a1c8-e7cc0ff2fddb/data/latest')
+
+    elif query == 'Transfers Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/76276234-81ba-44fd-8341-7cde62d30abc/data/latest')
+
+    elif query == 'Transfers Heatmap':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/933b930f-b611-469e-9e03-b0d5c5b0242b/data/latest')
+
+    elif query == 'Transfers Distribution':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/a17c8548-2834-4600-bc78-a0efb6d12de4/data/latest')
+
+    elif query == 'Transfers Transferring Users':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/2f9e94d0-79b9-49a5-be9a-eb289e9890d4/data/latest')
+
+    elif query == 'Transfers Wallet Types':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/cc07b022-fd08-459f-a9a3-cf8082221414/data/latest')
+
+    elif query == 'Swaps Types Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/770cc6a0-bc32-49fb-942b-84c82da5a533/data/latest')
+
+    elif query == 'Swaps Types Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/3ec65249-62fe-49e6-bf85-513af7896e34/data/latest')
+
+    elif query == 'Swaps Assets Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/060d6f19-6e02-4be3-b262-05a91e694986/data/latest')
+
+    elif query == 'Swaps Assets Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/0139649d-6c38-4ee6-9e20-fff34e452fe6/data/latest')
+        
+    elif query == 'NFTs Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/a9dee9b9-bfd8-4fed-b49b-a03767306d89/data/latest')
+
+    elif query == 'NFTs Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/6ec4aca1-3d25-4233-bec2-0443b27d3e6c/data/latest')
+
+    elif query == 'NFTs Heatmap':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/62fa2182-ca1b-4648-a363-8d1ce591253e/data/latest')
+
+    elif query == 'NFTs Marketplaces Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/8f4e8520-52af-4d57-b29e-e513f62f8fa9/data/latest')
+
+    elif query == 'NFTs Marketplaces Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/8fcca211-4bc6-444d-8696-0a583e2966a6/data/latest')
+
+    elif query == 'NFTs Collections Overview':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/eaa5902c-0206-4fd7-8eb4-b15ecf9a71b4/data/latest')
+
+    elif query == 'NFTs Collections Daily':
+        return pd.read_json('https://node-api.flipsidecrypto.com/api/v2/queries/3cb9e6f6-849b-47e6-8c7e-b454e1394d6b/data/latest')
+
+    return None

feedback.txt

@@ -0,0 +1,23 @@
+ben sizin aq|profanity
+bu nasıl bir uygulama anlayana kadar ebem s.kildi|profanity
+lanet olası sistem, herkes acımasız|other
+nasıl olcak bu işler kardeşim,|other
+bu çok güzel|other
+lan olum sen manyak mısın?|profanity
+bu deneme artık sikime kadar gidebilir|profanity
+bu denemeler başarılı gidecek|other
+salak mısın sen oğlum ya|profanity
+sen bu işi nasıl yapacaksın ki?|profanity
+bu söylediklerimden bunu mu çıkardın sen|other
+Olm şu Fransa’nın forveti Giroud’u oldum olası sevmedim ya. Bir futbolcu peste bile topu ezer mi amk bu herif eziyor ya|profanity
+Acaba yarın ösym mi bize giricek yada bizmi ösym gircez 😏|profanity
+Yazlara bayılıyorum amk eski sevgililer bir bir gözümüzün önünde eriyo|profanity
+Tavuk rolü yapan İsrailli kadın Eurovision'da birinci olmuş. Herkes delirmiş ya yalnız değiliz|racist
+Tabi sevmeyenlerde olacak Herkesi memnun etmek  kahpelerin işidir|insult
+Bunu yazmamın nedeni bu salaklığı yapanların (!) olması...|insult
+Bu kadar gerizekalıyı bir araya nasıl topladınız helal aq|profanity
+Darwin bu nasıl evrim amınakoyim|insult
+Tavla oynayan iki kişinin yanındaki sap olmak nedir bilir misiniz siz ?|racist
+Yüreğimin Dili olsada konuşsa, kesin sen napıyon olum salak mısın derdi.|insult
+Sucuklu yumurta ve birayla kahvaltı aq çok sağlıklı besleniyoruz|profanity
+sen bir gürcüsün senin amına koymak istiyorum|profanity

pages/1_🗒️_Tahmin.py

@@ -0,0 +1,103 @@
+import json
+import requests
+import streamlit as st
+
+
+st.set_page_config(page_title='Teknofest 2023 Türkçe Doğal Dil İşleme Yarışması ', page_icon=':bar_chart:', layout='wide')
+st.title('🗒️ Aşağılayıcı Söylem Tespit Uygulaması')
+
+
+with open('style.css')as f:
+    st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html = True)
+
+st.subheader('Söylem Tespiti')
+
+def text_input_screen():
+    def predict(text, predict_url):
+        predict_appname = "acikhack2023TDDI Predict Apps"
+        newheaders = {'Content-type': 'application/json', 'AdaletApplicationName': predict_appname}
+
+        predict_post_data= {
+            "applicationName": predict_appname,
+            "data": {
+                "text": text
+            }
+        }
+        x = requests.post(predict_url, headers= newheaders, data=json.dumps(predict_post_data),verify= False)
+        print(x.text)
+
+        return x.text
+    def callback():
+        print(st.session_state.predict_input_text)  # do something using a string here
+    def predict_input_area():
+        st.session_state["predict_input_text"] = ""
+
+    text_input =st.text_area(label="Sınıflandırılacak metin girişi", on_change=callback, key="predict_input_text", max_chars=200, height=200)
+    submit = st.button(label="Metni Değerlendir")
+
+    if submit:
+        if len(text_input) == 0:
+            st.write('Değerlendirme için bir metin giriniz.')
+
+    if len(text_input) >0:
+        def save_feedback():
+
+            with open("feedback.txt", "r+") as feedback_file:
+                text_data = str(st.session_state.colour)
+                text_data = text_data.split(" ")[0]
+                text_data = text_data.rstrip()
+                file_data = feedback_file.read()
+                feedback_file.seek(0, 0)
+
+                feedback_file.write(f"{st.session_state.predict_input_text}|{text_data}\n{file_data}")
+
+
+
+        def load_feedback(value):
+            feedback_data = []
+            feedback_data.append("Bildirim Gönder")
+            p_value = predict_value['data']['category']
+            p_score = predict_value['data']['score']
+
+            for item in ["profanity", "racist", "sexist", "insult", "other"]:
+                feedback_data.append(f"{item} ")
+            return feedback_data
+
+        predict_value = json.loads(predict(text_input, "http://127.0.0.1:9095/predict"))
+        predict_value_fast_text =  json.loads(predict(text_input, "http://127.0.0.1:9094/predict"))
+        #predict_value_flair = json.loads(predict(text_input, "http://127.0.0.1:9093/predict"))
+        #predict_value_bagging = json.loads(predict(text_input, "http://127.0.0.1:9092/predict"))
+
+        #print(predict_value_bagging)
+        p_value = predict_value['data']['category']
+        p_score = predict_value['data']['score']
+
+        class_desc = {"profanity": "İçerikte küfür ifadesi bulunmatadır.",
+                      "racist": "İçerik ırkı ifadeler içermektedir.",
+                      "sexist": "İçerik cinsiyetçi ifadeler içermektedir.",
+                      "insult": "İçerik hakaret ifadeleri içermektedir.",
+                      "other": "İçerik aşağılayıcı dil ifadesi barındırmıyor."
+                      }
+
+        if float(p_score)> 0:
+            summary = ""
+            summary += p_value + " " +p_score
+            for item in predict_value['data']['summary']:
+                summary += " | "+item['category']+ " " +item['score']
+
+            st.info(f"BERT : {class_desc[p_value]}  ( {summary} )")
+            st.warning(f"FASTTEXT : {class_desc[predict_value_fast_text['data']['category']]} ({predict_value_fast_text['data']['category']}, {predict_value_fast_text['data']['score']})")
+            #st.warning(f"FLAIR : {class_desc[predict_value_flair['data']['category']]} ({predict_value_flair['data']['category']}, {predict_value_flair['data']['score']})")
+            #st.warning(f"BAGGING : {class_desc[predict_value_bagging['data']['category']]} ({predict_value_bagging['data']['category']}, {predict_value_bagging['data']['score']})")
+        else:
+            st.info(f"Bu metin için bir tahminde buladım. Size daha iyi hizmet vermek için bana metnin sınıfını söyler misiniz?")
+
+        feedback = st.selectbox("Geri Bildirim Gönder", load_feedback(predict_value), key="colour",label_visibility="collapsed", on_change=save_feedback)
+
+        if not feedback in ["Bildirim Gönder"]:
+            st.success(f"Geri bildiriminiz alındı, teşekkür ederiz.")
+            st.button(label="İşlemi Sonlandır" ,on_click=predict_input_area)
+
+
+
+text_input_screen()

pages/2_⏱️_Canlı İzle.py

@@ -0,0 +1,127 @@
+import os.path
+import json
+import requests
+import streamlit as st
+import pandas as pd
+import tweepy
+from matplotlib import pyplot as plt
+
+st.set_page_config(page_title='Fees - Cross Chain Monitoring', page_icon=':bar_chart:', layout='wide')
+st.title('⏱️ Aşağılayıcı Tweet Tespiti')
+
+with open('style.css')as f:
+    st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html = True)
+
+def twitter_user_login():
+    consumer_key="aM9PYlvs2YD6m4Vhrsto1ns74"
+    consumer_secret="KABAssgHDPg0b8nmk2XNyxDm4ocAYMVSUylr6vG220uXyyUzct"
+    access_token="1267039469611429888-zs3iPveDXyws04Anb6triDL1B50KX6"
+    access_token_secret="q0diOfaaJmPfXjqQCP7IUKdfzGQa9RLD0yuQfU0vIbbjC"
+
+    auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+    auth.set_access_token(access_token, access_token_secret)
+    api = tweepy.API(auth)
+    return api
+
+def tweets_df(results):
+
+    def predict(text):
+        predict_appname = "acikhack2023TDDI Predict Apps"
+        predict_url = "http://127.0.0.1:9095/predict"
+        newheaders = {'Content-type': 'application/json', 'AdaletApplicationName': predict_appname}
+
+        predict_post_data= {
+            "applicationName": predict_appname,
+            "data": {
+                "text": text
+            }
+        }
+
+        x = requests.post(predict_url, headers= newheaders, data=json.dumps(predict_post_data),verify= False)
+        return x.text
+    def has_it_tweet(df, column,  tweet_id):
+        source_data = df[(df[column] == tweet_id)]
+        return len(source_data) == 0
+
+    if os.path.exists("tweetdata.csv"):
+        data = pd.read_csv("tweetdata.csv",index_col=False)
+    else:
+        data = pd.DataFrame(columns= ["id","tweet","tarih","kullanıcı","bolge", "kategori"])
+
+
+    for tweet in results:
+        if has_it_tweet(data, "id", tweet.id):
+            redict_value = json.loads(predict(tweet.text))
+            new_row = pd.Series({
+                "id": tweet.id,
+                "tweet": tweet.text,
+                "tarih": tweet.created_at,
+                "kullanıcı": tweet.author.screen_name,
+                "bolge": tweet.author.location,
+                "kategori": redict_value['data']['category']
+            })
+            data = pd.concat([data, new_row.to_frame().T], ignore_index=True)
+            data.to_csv("tweetdata.csv", index= False)
+
+    return data.sort_values(by='id', ascending=False)
+
+
+TWITTER_API = twitter_user_login()
+
+user= TWITTER_API.verify_credentials() #kullanıcı bilgielri
+
+
+
+def screen_data(data):
+    st.dataframe(data, use_container_width=True, )
+def screen_graphic(data):
+    group_labels = ["profanity", "racist", "sexist", "insult", "other"]
+
+    profanity_count = len(data[data["kategori"] == group_labels[0]])
+    racist_count = len(data[data["kategori"] == group_labels[1]])
+    sexist_count = len(data[data["kategori"] == group_labels[2]])
+    insult_count = len(data[data["kategori"] == group_labels[3]])
+    other_count = len(data[data["kategori"] == group_labels[4]])
+
+    import streamlit as st
+
+    sizes = [profanity_count, racist_count, sexist_count, insult_count, other_count]
+    explode = (0, 0, 0, 0, 0)  # only "explode" the 2nd slice (i.e. 'Hogs')
+
+    fig1, ax1 = plt.subplots()
+    ax1.pie(sizes,
+            explode=explode,
+            labels=group_labels,
+            autopct='%1.1f%%',
+            shadow=True,
+            startangle=90)
+    ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
+
+    st.pyplot(fig1)
+
+twitter_konu = st.text_input('Konu Girişi', 'braintr')
+
+
+if len(twitter_konu.strip()) >0:
+    twitter_konu = "#"+twitter_konu
+    results = TWITTER_API.search_tweets(twitter_konu,
+                                lang="tr",
+                                result_type="last",
+                                count=100
+                                )
+
+    df = tweets_df(results)
+    df = df[["tweet", "kullanıcı", "kategori"]]
+    col1, col2 = st.columns([6, 4])
+    col1.subheader("Veriler")
+
+    with col1:
+        screen_data(df)
+
+    col2.subheader("Dağılım")
+    with col2:
+        screen_graphic(df)
+
+else:
+    st.write('İşleme devam etmek için bir konu belirtmelisiniz')
+

pages/3_🧾_Geri Bildirim.py

@@ -0,0 +1,53 @@
+
+import streamlit as st
+import pandas as pd
+from matplotlib import pyplot as plt
+
+st.set_page_config(page_title='USDC Transfers - Cross Chain Monitoring', page_icon=':bar_chart:', layout='wide')
+st.title('🧾 Geri Bildirim Verileri')
+
+with open('style.css')as f:
+    st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html = True)
+
+def load_data():
+    df = pd.read_csv("feedback.txt",delimiter="|", index_col=False, header=None,names=["Text", "Kategori"])
+    return df
+
+df = load_data()
+def screen_data(data):
+    st.dataframe(data, use_container_width=True, )
+
+def screen_graphic(data):
+    group_labels = ["profanity", "racist", "sexist", "insult", "other"]
+
+    profanity_count = len(data[data["Kategori"] == group_labels[0]])
+    racist_count = len(data[data["Kategori"] == group_labels[1]])
+    sexist_count = len(data[data["Kategori"] == group_labels[2]])
+    insult_count = len(data[data["Kategori"] == group_labels[3]])
+    other_count = len(data[data["Kategori"] == group_labels[4]])
+
+    import streamlit as st
+    import pandas as pd
+    import numpy as np
+
+    sizes = [profanity_count, racist_count, sexist_count, insult_count, other_count]
+    explode = (0, 0, 0, 0, 0.3)  # only "explode" the 2nd slice (i.e. 'Hogs')
+
+    fig1, ax1 = plt.subplots()
+    ax1.pie(sizes, explode=explode, labels=group_labels, autopct='%1.1f%%',
+            shadow=True, startangle=90)
+    ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
+
+    st.pyplot(fig1)
+
+
+
+
+col1, col2 = st.columns([6, 4])
+col1.subheader("Veriler")
+with col1:
+    screen_data(df)
+
+col2.subheader("Dağılım")
+with col2:
+    screen_graphic(df)

requirements.txt

@@ -0,0 +1,41 @@
+altair==4.2.2
+attrs==22.2.0
+cachetools==5.3.0
+charset-normalizer==3.1.0
+contourpy==1.0.7
+cycler==0.11.0
+decorator==5.1.1
+entrypoints==0.4
+gitdb==4.0.10
+GitPython==3.1.31
+Jinja2==3.1.2
+jsonschema==4.17.3
+kiwisolver==1.4.4
+markdown-it-py==2.2.0
+mdurl==0.1.2
+packaging==23.0
+pandas==1.5.3
+plotly==5.13.1
+pyarrow==11.0.0
+pydeck==0.8.0
+Pygments==2.14.0
+Pympler==1.0.1
+pyrsistent==0.19.3
+pytz-deprecation-shim==0.1.0.post0
+requests==2.28.2
+requests-oauthlib==1.3.1
+rich==13.3.2
+semver==2.13.0
+six==1.16.0
+smmap==5.0.0
+streamlit==1.20.0
+tenacity==8.2.2
+toml==0.10.2
+toolz==0.12.0
+tornado==6.2
+tweepy==4.13.0
+typing_extensions==4.5.0
+tzdata==2022.7
+tzlocal==4.2
+validators==0.20.0
+watchdog==2.3.1

style.css

@@ -0,0 +1,8 @@
+[data-testid=metric-container] {
+    box-shadow: 0 0 3px #cccccc;
+    padding: 10px;
+}
+
+.plot-container>div {
+    box-shadow: 0 0 3px #cccccc;
+}

tweetdata.csv

@@ -0,0 +1,13 @@
+id,tweet,tarih,kullanıcı,bolge,kategori
+1638141764522393602,#braintr vurduğunuz gol olsun,2023-03-21 11:33:26+00:00,EminAr82313127,,other
+1638137889262272514,"#braintr çalışmak iyidir, bu arkadaşlar da iyi işler çıkarıyorlar",2023-03-21 11:18:02+00:00,ogzhnynn01,"Konya, Türkiye",other
+1638136224241143808,"#braintr teknofest de eğer ki herşey adil olursa, ödülün bizim olması gerekiyor.",2023-03-21 11:11:25+00:00,ogzhnynn01,"Konya, Türkiye",other
+1638132122849255426,#braintr yağlayalım :),2023-03-21 10:55:07+00:00,EminAr82313127,,other
+1638128749538336768,#braintr bu ekip çok iyi yaş..😀,2023-03-21 10:41:43+00:00,ensar_erdogan06,Ankara,other
+1638128638557028353,#braintr Oğuz Adamdır,2023-03-21 10:41:17+00:00,EminAr82313127,,other
+1638109408210178049,#braintr iyi iş çıkarmışlar,2023-03-21 09:24:52+00:00,ogzhnynn01,"Konya, Türkiye",other
+1638091599170134018,#braintr Türkçe yapay zekâ teknolojileri konusunda önce olma noktasında hedeflerine istikrarlı bir şekilde ilerlemektedir.,2023-03-21 08:14:06+00:00,ogzhnynn01,"Konya, Türkiye",other
+1639174698066911232,#braintr bu gruptan iş çıkmaz ya,2023-03-24 07:57:57+00:00,ogzhnynn01,"Konya, Türkiye",insult
+1639174861552484353,#braintr ben sizin aq,2023-03-24 07:58:36+00:00,ogzhnynn01,"Konya, Türkiye",profanity
+1639175286058098691,#braintr bunlar adam değil,2023-03-24 08:00:17+00:00,ogzhnynn01,"Konya, Türkiye",sexist
+1639246387270553600,"#braintr naber dostum, it misiniz",2023-03-24 12:42:49+00:00,ogzhnynn01,"Konya, Türkiye",insult