docker files

app.py

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+# Import the required Libraries
+import gradio as gr
+import numpy as np
+import pandas as pd
+import pickle
+import transformers
+from transformers import AutoTokenizer, AutoConfig,AutoModelForSequenceClassification,TFAutoModelForSequenceClassification, pipeline
+from scipy.special import softmax
+
+# Requirements
+model_path = "KwabenaMufasa/Finetuned-Distilbert-base-model"
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+config = AutoConfig.from_pretrained(model_path)
+model = AutoModelForSequenceClassification.from_pretrained(model_path)
+
+#Preprocess text
+def preprocess(text):
+    new_text = []
+    for t in text.split(" "):
+        t = "@user" if t.startswith("@") and len(t) > 1 else t
+        t = "http" if t.startswith("http") else t
+        new_text.append(t)
+    return " ".join(new_text)
+
+#Process the input and return prediction
+def sentiment_analysis(text):
+    text = preprocess(text)
+
+    encoded_input = tokenizer(text, return_tensors = "pt") # for PyTorch-based models
+    output = model(**encoded_input)
+    scores_ = output[0][0].detach().numpy()
+    scores_ = softmax(scores_)
+    
+    # Format output dict of scores
+    labels = ["Negative", "Neutral", "Positive"]
+    scores = {l:float(s) for (l,s) in zip(labels, scores_) }
+    
+    return scores
+    
+#Gradio app interface
+app = gr.Interface(fn = sentiment_analysis,
+                   inputs = gr.Textbox("Write your text or tweet here"),
+                   outputs = "label",
+                   title = "Twitter Sentiment Analyzer App",
+                   description  = "Vaccinate or Do Not Vaccinate",
+                   interpretation = "default",
+                   examples = [["Being vaccinated is actually awesome :)"]]
+                   )
+
+
+
+app.launch(server_name = "0.0.0.0.", server_port = 7860)
+
+if __name__=="__app__":
+    run()

dockerfile.txt

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 user
+# Switch to the "user" user
+USER user
+# Set home to the user's home directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+
+
+#COPY . . 
+CMD ["python","app.py"]

requirements.txt

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+pandas 
+scikit-learn
+seaborn
+fastai
+transformers
+simpletransformers
+nltk
+spacy
+gensim
+plotly
+notebook
+jupyter
+ipywidgets
+gradio