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--- |
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title: Image To Text App |
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emoji: 📹 |
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colorFrom: blue |
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colorTo: red |
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sdk: streamlit |
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app_file: app.py |
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pinned: false |
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--- |
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## Workflows |
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1. Update config.yaml |
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2. Update secrets.yaml [Optional] |
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3. Update params.yaml |
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4. Update the entity |
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5. Update the configuration manager in src config |
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6. Update the components |
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7. Update the pipeline |
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8. Update the main.py |
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9. Update the dvc.yaml |
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# How to run? |
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### STEPS: |
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Clone the repository |
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```bash |
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https://github.com/HAKIM-ML/Chicken-Disease-Classification-Using-Mlops |
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``` |
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### STEP 01- Create a conda environment after opening the repository |
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```bash |
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conda create -n cnncls python=3.8 -y |
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``` |
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```bash |
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conda activate cnncls |
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``` |
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### STEP 02- install the requirements |
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```bash |
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pip install -r requirements.txt |
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``` |
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```bash |
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# Finally run the following command |
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python app.py |
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``` |
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Now, |
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```bash |
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open up you local host and port |
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``` |
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### DVC cmd |
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1. dvc init |
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2. dvc repro |
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3. dvc dag |
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