Initial commit

.bash_history

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+pkg update
+pkg upgrade
+pkg install python
+pkg install git
+pkg search <transformer>
+pkg search transformer
+pkg search <transformers>
+pkg search transformers
+pkg install transformers
+pip install transformers
+pip --version
+pkg install python-pip
+pip install python-telegram-bot requests
+python-telegram-bot==13.7
+requests
+python-telegram-bot==13.7
+requests==2.26.0
+web3==5.25.0  # If you need blockchain integration (for Ethereum-based tokens)
+import sagemaker
+import boto3
+from sagemaker.huggingface import HuggingFaceModel
+try:
+	role = sagemaker.get_execution_role()
+except ValueError:
+	iam = boto3.client('iam')
+	role = iam.get_role(RoleName='sagemaker_execution_role')['Role']['Arn']
+# Hub Model configuration. https://huggingface.co/models
+hub = {
+	'HF_MODEL_ID':'Seraph19/Suea',
+	'HF_TASK':'text2text-generation'
+}
+# create Hugging Face Model Class
+huggingface_model = HuggingFaceModel(
+	transformers_version='4.37.0',
+	pytorch_version='2.1.0',
+	py_version='py310',
+	env=hub,
+	role=role, 
+)
+# deploy model to SageMaker Inference
+predictor = huggingface_model.deploy(
+	initial_instance_count=1, # number of instances
+	instance_type='ml.m5.xlarge' # ec2 instance type
+)
+predictor.predict({
+	"inputs": "The answer to the universe is",
+})
+import sagemaker
+import boto3
+from sagemaker.huggingface import HuggingFaceModel
+try:
+	role = sagemaker.get_execution_role()
+except ValueError:
+	iam = boto3.client('iam')
+	role = iam.get_role(RoleName='sagemaker_execution_role')['Role']['Arn']
+# Hub Model configuration. https://huggingface.co/models
+hub = {
+	'HF_MODEL_ID':'Seraph19/Suea',
+	'HF_TASK':'text2text-generation'
+}
+# create Hugging Face Model Class
+huggingface_model = HuggingFaceModel(
+	transformers_version='4.37.0',
+	pytorch_version='2.1.0',
+	py_version='py310',
+	env=hub,
+	role=role, 
+)
+# deploy model to SageMaker Inference
+predictor = huggingface_model.deploy(
+	initial_instance_count=1, # number of instances
+	instance_type='ml.m5.xlarge' # ec2 instance type
+)
+predictor.predict({
+	"inputs": "The answer to the universe is",
+})
+git clone https://huggingface.co/spaces/Seraph19/Santim
+<iframe
+	src="https://seraph19-santim.hf.space"
+	frameborder="0"
+	width="850"
+	height="450"
+></iframe>
+git clone https://github.com/seraph19asfaw/python-telegram-bot-flask-example.git
+cd python-telegram-bot-flask-example
+github.com/seraph19asfaw
+https://github.com/huggingface/autotrain-advanced.git
+git clone https://huggingface.co/spaces/Seraph19/Santim
+https://github.com/huggingface/autotrain-advanced.git
+pip install autotrain-advanced
+conda create -n autotrain python=3.10
+conda activate autotrain
+pip install autotrain-advanced
+conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
+conda install -c "nvidia/label/cuda-12.1.0" cuda-nvcc
+autotrain app --port 8080 --host 127.0.0.1
+autotrain --config <path_to_config_file>
+{ pkgs }: {;   deps = [;     pkgs.python39;     pkgs.python39Packages.requests;     pkgs.python39Packages.python-telegram-bot;   ]; }
+TELEGRAM_TOKEN = '7394516855:AAHiH9HlCmBTzyRBHN06vVYNWlxY1qZEgco'
+TELEGRAM_TOKEN = ' 7322594950:AAFS4FOOYCdDnJy6VZUM4-6T86_mA18pxjQ '
+su -
+pkg_add -z git gperf php-7.2.10 cmake
+exit
+git clone [email protected]:spaces/Seraph19/Santim
+from flask import Flask, request, jsonify
+app = Flask(__name__)
+@app.route('/token', methods=['POST'])
+def distribute_token():
+if __name__ == '__main__':;     app.run(host='0.0.0.0', port=7860)
+from flask import Flask, request, jsonify
+app = Flask(__name__)
+@app.route('/token', methods=['POST'])
+def distribute_token():
+if __name__ == '__main__':;     app.run(host='0.0.0.0', port=7860)
+curl -X POST https://seraph19-santim.hf.space/token -H "Content-Type: application/json" -d '{"user_id": 123456, "amount": 10}'
+from flask import Flask, request, jsonify
+app = Flask(__name__)
+@app.route('/token', methods=['POST'])
+def distribute_token():
+if __name__ == '__main__':;     app.run(host='0.0.0.0', port=7860)
+Flask==2.0.2
+curl -X POST https://seraph19-santim.hf.space/token -H "Content-Type: application/json" -d '{"user_id": "12345", "amount": 10}'
+pkg install python
+pip install python-telegram-bot requests
+python bot.py
+# Install vLLM from pip:
+pip install vllm
+# Load and run the model:
+vllm serve "Seraph19/Suea"
+# Call the server using curl:
+curl -X POST "http://localhost:8000/v1/chat/completions" \ 
+-H "Content-Type: application/json" \ 
+--data '{
+"model": "Seraph19/Suea"
+"messages": [
+{"role": "user", "content": "Hello!"}
+]
+}'
+git clone https://huggingface.co/spaces/BLACKHOST/TelegramBot
+import streamlit as st
+x = st.slider('Select a value')
+st.write(x, 'squared is', x * x)
+git clone [email protected]:Seraph19/Suea
+GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:Seraph19/Suea
+ssh-keygen -t ed25519 -C "[email protected]"
+$ ssh-add ~/.ssh/id_ed25519
+git clone https://huggingface.co/Seraph19/Suea
+ssh-keygen -t rsa -b 4096 -C "seraph19asfaw"
+pbcopy < ~/.ssh/id_rsa.pub
+```
+pbcopy < ~/.ssh/id_rsa.pub
+```
+commannd objcopy in package binutils
+pbcopy < ~/.ssh/id_rsa
+objcopy in pkg binutils
+pkg binutils
+pkg install binutils
+pbcopy < ~/.ssh/id_rsa
+objcopy in binutils
+ssh-add ~/.ssh/id_ed25519
+ssh-keygen -t rsa -b 4096 -C "[email protected]"
+save file 
+copy
+objcopy
+[email protected]:seraph19/my-repo.git
+id_ed25519.pub
+ssh-keygen -t ed25519 -C
+ssh-keygen -t ed25519 -C"[email protected]"
+ssh-add ~/.ssh/id_ed25519
+ssh -T [email protected]
+
+cat ~/.ssh/id_rsa.pub
+git clone https://huggingface.co/Seraph19/Suea
+GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Seraph19/Suea
+git clone [email protected]:Seraph19/Suea
+git clone [email protected]:spaces/levandong/MNIST-detect-deploy-webapp
+git clone [email protected]:spaces/onekq-ai/WebApp1K-models-leaderboard
+GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:Gameselo/STS-multilingual-mpnet-base-v2
+git clone [email protected]:spaces/librarian-bots/huggingface-datasets-semantic-search
+git clone [email protected]:RichardErkhov/PotatoOff_-_HamSter-0.2-gguf
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+pipe = pipeline("text2text-generation", model="Seraph19/Suea")
+# Load model directly
+from transformers import AutoModel
+model = AutoModel.from_pretrained("Seraph19/Suea")
+import requests
+API_URL = "https://api-inference.huggingface.co/models/cardiffnlp/twitter-roberta-base-sentiment-latest"
+headers = {"Authorization": "Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"}
+payload = {
+}
+response = requests.post(API_URL, headers=headers, json=payload)
+response.json() import gradio as gr
+gr.load("models/cardiffnlp/twitter-roberta-base-sentiment-latest").launch()
+import gradio as gr
+gr.load("models/cardiffnlp/twitter-roberta-base-sentiment-latest").launch()
+<script
+	type="module"
+	src="https://gradio.s3-us-west-2.amazonaws.com/4.36.1/gradio.js"
+></script>
+<gradio-app src="https://seraph19-cardiffnlp-twitter-roberta-base-sentime-c90bcaf.hf.space"></gradio-app>
+git clone https://huggingface.co/spaces/Seraph19/cardiffnlp-twitter-roberta-base-sentiment-latest
+git clone https://huggingface.co/spaces/huggingface-projects/llama-3.2-3B-Instruct

.gitconfig

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+[user]
+	email = [email protected]
+	name = Your Name

.github/workflows/apisec-scan.yml

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+# This workflow uses actions that are not certified by GitHub.
+# They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support
+# documentation.
+
+# APIsec addresses the critical need to secure APIs before they reach production.
+# APIsec provides the industry’s only automated and continuous API testing platform that uncovers security vulnerabilities and logic flaws in APIs.
+# Clients rely on APIsec to evaluate every update and release, ensuring that no APIs go to production with vulnerabilities.
+
+# How to Get Started with APIsec.ai
+# 1. Schedule a demo at https://www.apisec.ai/request-a-demo .
+#
+# 2. Register your account at https://cloud.apisec.ai/#/signup .
+#
+# 3. Register your API . See the video (https://www.youtube.com/watch?v=MK3Xo9Dbvac) to get up and running with APIsec quickly.
+#
+# 4. Get GitHub Actions scan attributes from APIsec Project -> Configurations -> Integrations -> CI-CD -> GitHub Actions
+#
+# apisec-run-scan
+#
+# This action triggers the on-demand scans for projects registered in APIsec.
+# If your GitHub account allows code scanning alerts, you can then upload the sarif file generated by this action to show the scan findings.
+# Else you can view the scan results from the project home page in APIsec Platform.
+# The link to view the scan results is also displayed on the console on successful completion of action.
+
+# This is a starter workflow to help you get started with APIsec-Scan Actions
+
+name: APIsec
+
+# Controls when the workflow will run
+on:
+  # Triggers the workflow on push or pull request events but only for the "main" branch
+  # Customize trigger events based on your DevSecOps processes.
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+  schedule:
+    - cron: '42 11 * * 2'
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+
+permissions:
+  contents: read
+
+jobs:
+
+  Trigger_APIsec_scan:
+    permissions:
+      security-events: write # for github/codeql-action/upload-sarif to upload SARIF results
+      actions: read # only required for a private repository by github/codeql-action/upload-sarif to get the Action run status
+    runs-on: ubuntu-latest
+
+    steps:
+       - name: APIsec scan
+         uses: apisec-inc/apisec-run-scan@025432089674a28ba8fb55f8ab06c10215e772ea
+         with:
+          # The APIsec username with which the scans will be executed
+          apisec-username: ${{ secrets.apisec_username }}
+          # The Password of the APIsec user with which the scans will be executed
+          apisec-password: ${{ secrets.apisec_password}}
+          # The name of the project for security scan
+          apisec-project: "VAmPI"
+          # The name of the sarif format result file The file is written only if this property is provided.
+          sarif-result-file: "apisec-results.sarif"
+       - name: Import results
+         uses: github/codeql-action/upload-sarif@v3
+         with:
+          sarif_file: ./apisec-results.sarif

.github/workflows/azure-webapps-node.yml

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+# This workflow will build and push a node.js application to an Azure Web App when a commit is pushed to your default branch.
+#
+# This workflow assumes you have already created the target Azure App Service web app.
+# For instructions see https://docs.microsoft.com/en-us/azure/app-service/quickstart-nodejs?tabs=linux&pivots=development-environment-cli
+#
+# To configure this workflow:
+#
+# 1. Download the Publish Profile for your Azure Web App. You can download this file from the Overview page of your Web App in the Azure Portal.
+#    For more information: https://docs.microsoft.com/en-us/azure/app-service/deploy-github-actions?tabs=applevel#generate-deployment-credentials
+#
+# 2. Create a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE, paste the publish profile contents as the value of the secret.
+#    For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
+#
+# 3. Change the value for the AZURE_WEBAPP_NAME. Optionally, change the AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables below.
+#
+# For more information on GitHub Actions for Azure: https://github.com/Azure/Actions
+# For more information on the Azure Web Apps Deploy action: https://github.com/Azure/webapps-deploy
+# For more samples to get started with GitHub Action workflows to deploy to Azure: https://github.com/Azure/actions-workflow-samples
+
+on:
+  push:
+    branches: [ "main" ]
+  workflow_dispatch:
+
+env:
+  AZURE_WEBAPP_NAME: your-app-name    # set this to your application's name
+  AZURE_WEBAPP_PACKAGE_PATH: '.'      # set this to the path to your web app project, defaults to the repository root
+  NODE_VERSION: '20.x'                # set this to the node version to use
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up Node.js
+      uses: actions/setup-node@v4
+      with:
+        node-version: ${{ env.NODE_VERSION }}
+        cache: 'npm'
+
+    - name: npm install, build, and test
+      run: |
+        npm install
+        npm run build --if-present
+        npm run test --if-present
+
+    - name: Upload artifact for deployment job
+      uses: actions/upload-artifact@v3
+      with:
+        name: node-app
+        path: .
+
+  deploy:
+    permissions:
+      contents: none
+    runs-on: ubuntu-latest
+    needs: build
+    environment:
+      name: 'Development'
+      url: ${{ steps.deploy-to-webapp.outputs.webapp-url }}
+
+    steps:
+    - name: Download artifact from build job
+      uses: actions/download-artifact@v3
+      with:
+        name: node-app
+
+    - name: 'Deploy to Azure WebApp'
+      id: deploy-to-webapp
+      uses: azure/webapps-deploy@v2
+      with:
+        app-name: ${{ env.AZURE_WEBAPP_NAME }}
+        publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
+        package: ${{ env.AZURE_WEBAPP_PACKAGE_PATH }}