added app.py

.dockerignore

@@ -0,0 +1,96 @@
+# Git
+.git
+.gitignore
+
+# CI
+.codeclimate.yml
+.travis.yml
+.taskcluster.yml
+
+# Docker
+docker-compose.yml
+.docker
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*/__pycache__/
+*/*/__pycache__/
+*/*/*/__pycache__/
+*.py[cod]
+*/*.py[cod]
+*/*/*.py[cod]
+*/*/*/*.py[cod]
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.cache
+nosetests.xml
+coverage.xml
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Virtual environment
+.env/
+.venv/
+venv/
+
+# PyCharm
+.idea
+
+# Python mode for VIM
+.ropeproject
+*/.ropeproject
+*/*/.ropeproject
+*/*/*/.ropeproject
+
+# Vim swap files
+*.swp
+*/*.swp
+*/*/*.swp
+*/*/*/*.swp
+
+# Local Files
+notebook/*

.gitignore

@@ -0,0 +1,173 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# PyPI configuration file
+.pypirc
+
+.gradio/*

Dockerfile

@@ -0,0 +1,19 @@
+# Use an official Python runtime as a parent image
+FROM python:3.10-slim
+
+# Set the working directory in the container
+WORKDIR /usr/src/app
+
+# Copy the requirements file into the container
+COPY . .
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Make port 7860 available to the world outside this container
+EXPOSE 7860
+
+ENV GRADIO_SERVER_NAME="0.0.0.0"
+
+# Run app.py when the container launches
+CMD ["python", "app.py"]

app.py

@@ -0,0 +1,114 @@
+import gradio as gr
+import joblib
+import os
+import re
+import string
+
+# Load the models and vectorizers
+def load_model_and_vectorizer(path, model_filename='model.pkl', vectorizer_filename='vectorizer.pkl'):
+    model = joblib.load(os.path.join(path, model_filename))
+    vectorizer = joblib.load(os.path.join(path, vectorizer_filename))
+    return model, vectorizer
+
+# Text preprocessing
+def preprocess_text(text):
+    text = text.lower()
+    text = re.sub(r'http\S+|www\S+|https\S+', '', text, flags=re.MULTILINE)
+    text = text.translate(str.maketrans('', '', string.punctuation))
+    text = text.strip()
+    return text
+
+# Load all models at startup
+models = {
+    "Linear Regression": load_model_and_vectorizer(path=os.path.join('models', 'lr')),
+    "MultinomialNB": load_model_and_vectorizer(path=os.path.join('models', 'mnb')),
+    "SVM": load_model_and_vectorizer(path=os.path.join('models', 'svm')),
+    "Random Forest": load_model_and_vectorizer(path=os.path.join('models', 'rf'))
+}
+
+def predict_sentiment(message, model_name="MultinomialNB"):
+    if not message.strip():
+        return None
+    
+    model, vectorizer = models[model_name]
+    preprocessed = preprocess_text(message)
+    vectorized = vectorizer.transform([preprocessed])
+    prediction = model.predict(vectorized)[0]
+    return prediction
+
+def get_bot_response(message, chat_history, model_choice):
+    message = message["text"]
+    if not message.strip():
+        return "", chat_history
+    
+    # Get sentiment prediction
+    sentiment = predict_sentiment(message, model_choice)
+    
+    if sentiment is None:
+        bot_response = "Please share your thoughts about a game!"
+        chat_history.append((message, bot_response))
+        return "", chat_history
+    
+    # Generate response based on sentiment
+    if sentiment == 1:
+        responses = [
+            f"This is a Positive review 😃"
+        ]
+        bot_response = responses[len(chat_history) % len(responses)]
+    else:
+        responses = [
+            f"This is a Negative review 🤬"
+        ]
+        bot_response = responses[len(chat_history) % len(responses)]
+    
+    chat_history.append((message, bot_response))
+    return "", chat_history
+
+# Create the Gradio interface
+with gr.Blocks(theme=gr.themes.Default(), title="Gaming Sentiment Chatbot", css=".upload-button {display: none;} .centered-md {text-align: center}") as demo:
+    gr.Markdown("# 🎮 Steam Review Sentiment Analysis", elem_classes="centered-md")
+    gr.Markdown("✨ Enter a Steam review to analyze its sentiment. For more information, see the dataset used at [Kaggle Steam Reviews](https://www.kaggle.com/datasets/filipkin/steam-reviews)", elem_classes="centered-md")
+    gr.Markdown("[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/alyzbane/gradio-sentimental-analysis-ml)") 
+   
+    chatbot = gr.Chatbot(
+        label="History",
+        height=400
+    )
+    
+    with gr.Row():
+        message = gr.MultimodalTextbox(
+        interactive=True,
+        placeholder="Enter message...",
+        show_label=False,
+        )
+
+    with gr.Row():
+        model_choice = gr.Dropdown(
+            choices=list(models.keys()),
+            value="MultinomialNB",
+            label="Select Model for Analysis",
+        )
+    
+    # Example messages
+    gr.Markdown("## Example Messages")
+    examples = gr.Examples(
+        examples=[
+            "This game is absolutely fantastic! The graphics and gameplay are incredible!",
+            "I can't believe how buggy this game is. Constant crashes and poor optimization.",
+            "Decent game but nothing special. Might be worth it on sale.",
+            "Best game I've played this year! The story is amazing!",
+            "1/10"
+        ],
+        inputs=message,
+        label="Example Messages"
+    )
+   
+    # Also allow Enter key to submit
+    message.submit(
+        fn=get_bot_response,
+        inputs=[message, chatbot, model_choice],
+        outputs=[message, chatbot]
+    )
+
+if __name__ == "__main__":
+    demo.launch(debug=False)

lr/model.pkl

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+oid sha256:7573e0b54dc8bc8988d37a1713a380279dadae6bd8fe8ce46091be938c381f71
+size 40863

lr/vectorizer.pkl

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+oid sha256:378afbbef96e36dbc70fba3045b9fbe0fc148cae922d84e741af18358cd165e9
+size 181651

mnb/model.pkl

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+oid sha256:7a84283035fa24df67bb627a4d57481a37ce8d0b06ceafade7e31a0fc0e1fe24
+size 160791

mnb/vectorizer.pkl

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+oid sha256:378afbbef96e36dbc70fba3045b9fbe0fc148cae922d84e741af18358cd165e9
+size 181651

rf/model.pkl

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+size 268973145

rf/vectorizer.pkl

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+size 181651

svm/model.pkl

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+oid sha256:bccae25393cd2dd073df6210ce21a50a315ca3d61ac73889e0ccaea1be366c1e
+size 7017067

svm/vectorizer.pkl

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+size 181651