First commit

.gitignore

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+# 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
+
+# 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/

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml

.idea/material_theme_project_new.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="MaterialThemeProjectNewConfig">
+    <option name="metadata">
+      <MTProjectMetadataState>
+        <option name="migrated" value="true" />
+        <option name="pristineConfig" value="false" />
+        <option name="userId" value="-2584fe07:1911e531909:-7ffe" />
+      </MTProjectMetadataState>
+    </option>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings" defaultProject="true" />
+</project>

README.md

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+# Automated-Interview-Filtering

main.py

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+# This is a sample Python script.
+
+# Press ⌃R to execute it or replace it with your code.
+# Press Double ⇧ to search everywhere for classes, files, tool windows, actions, and settings.
+
+
+def print_hi(name):
+    # Use a breakpoint in the code line below to debug your script.
+    print(f'Hi, {name}')  # Press ⌘F8 to toggle the breakpoint.
+
+
+# Press the green button in the gutter to run the script.
+if __name__ == '__main__':
+    print_hi('PyCharm')
+
+# See PyCharm help at https://www.jetbrains.com/help/pycharm/

requirements.txt

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+gradio==5.6.0
+gradio_client==1.4.3

src/domain/candidate.py

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+from dataclasses import dataclass
+from typing import Dict, List
+
+@dataclass
+class Candidate:
+    id: str
+    name: str
+    email: str
+    resume_data: Dict
+    interview_responses: List[str]
+    emotional_metrics: Dict
+    feedback: Dict

src/domain/emotion_metrics.py

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+from dataclasses import dataclass
+from typing import List, Dict
+
+@dataclass
+class EmotionMetrics:
+    confidence_score: float
+    engagement_level: float
+    emotional_stability: float
+    stress_indicators: List[str]
+    dominant_emotions: Dict[str, float]
+
+    def calculate_overall_score(self) -> float:
+        # Implementation for calculating overall emotional score
+        pass

src/domain/enums/emotion_types.py

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+from enum import Enum
+
+class EmotionType(Enum):
+    HAPPY = "happy"
+    SAD = "sad"
+    ANGRY = "angry"
+    NEUTRAL = "neutral"
+    SURPRISED = "surprised"
+    FEARFUL = "fearful"
+    DISGUSTED = "disgusted"
+
+    @classmethod
+    def get_positive_emotions(cls):
+        return [cls.HAPPY, cls.NEUTRAL]
+
+    @classmethod
+    def get_negative_emotions(cls):
+        return [cls.SAD, cls.ANGRY, cls.FEARFUL, cls.DISGUSTED]

src/domain/enums/interview_status.py

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+from enum import Enum, auto
+
+class InterviewStatus(Enum):
+    SCHEDULED = auto()
+    IN_PROGRESS = auto()
+    COMPLETED = auto()
+    CANCELLED = auto()
+    PENDING_REVIEW = auto()
+    REVIEWED = auto()
+    FAILED = auto()

src/domain/interview.py

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+from dataclasses import dataclass
+from datetime import datetime
+from typing import List, Dict
+from src.domain.enums.interview_status import InterviewStatus
+from src.domain.enums.emotion_types import EmotionType
+
+@dataclass
+class Interview:
+    id: str
+    candidate_id: str
+    job_id: str
+    video_path: str
+    status: InterviewStatus
+    questions: List[str]
+    responses_transcription: List[str]
+    timestamp: datetime
+    duration: int
+    emotional_analysis: Dict[EmotionType, float]
+
+    def is_completed(self) -> bool:
+        return self.status == InterviewStatus.COMPLETED
+
+    def is_reviewable(self) -> bool:
+        return self.status in [InterviewStatus.COMPLETED, InterviewStatus.PENDING_REVIEW]

src/domain/resume.py

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+from dataclasses import dataclass
+from typing import List, Dict
+
+@dataclass
+class Resume:
+    id: str
+    candidate_id: str
+    file_path: str
+    parsed_content: Dict
+    skills: List[str]
+    experience: List[Dict]
+    education: List[Dict]

src/frontend/interface.py

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+import gradio as gr
+from typing import Dict
+from src.application.services import InterviewAnalyzer
+from src.infrastructure.llm import LangchainService
+from src.infrastructure.emotion import DeepFaceService
+from src.infrastructure.speech import GoogleSpeechService
+
+class GradioInterface:
+    def __init__(self):
+        # Initialize services
+        self.emotion_service = DeepFaceService()
+        self.speech_service = GoogleSpeechService()
+        self.llm_service = LangchainService()
+
+        # Initialize analyzer
+        self.analyzer = InterviewAnalyzer(
+            emotion_service=self.emotion_service,
+            speech_service=self.speech_service,
+            llm_service=self.llm_service
+        )
+
+    def create_interface(self) -> gr.Interface:
+        def process_submission(
+                video_file: str,
+                resume_file: str,
+                job_requirements: str
+        ) -> Dict:
+            # Implementation for processing submission
+            pass
+
+        # Create Gradio interface
+        interface = gr.Interface(
+            fn=process_submission,
+            inputs=[
+                gr.Video(label="Interview Recording"),
+                gr.File(label="Resume"),
+                gr.Textbox(label="Job Requirements", lines=5)
+            ],
+            outputs=gr.JSON(label="Analysis Results"),
+            title="HR Interview Analysis System",
+            description="Upload interview recording and resume to analyze candidate performance"
+        )
+
+        return interface
+
+def launch_app():
+    app = GradioInterface()
+    interface = app.create_interface()
+    interface.launch()
+
+if __name__ == "__main__":
+    launch_app()

src/service/interview_analyzer.py

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+from src.domain.enums.file_types import VideoFileType
+from src.domain.enums.emotion_types import EmotionType
+from src.domain.entities.interview import Interview
+from typing import Dict, List
+
+class InterviewAnalyzer:
+    def validate_video(self, video_path: str) -> bool:
+        file_extension = video_path[video_path.rfind("."):]
+        return VideoFileType.validate_format(file_extension)
+
+    def analyze_emotions(self, emotion_data: Dict[str, float]) -> Dict[EmotionType, float]:
+        analyzed_emotions = {}
+        for emotion_name, score in emotion_data.items():
+            try:
+                emotion_type = EmotionType(emotion_name.lower())
+                analyzed_emotions[emotion_type] = score
+            except ValueError:
+                continue
+        return analyzed_emotions
+
+    def get_dominant_emotion(self, emotion_scores: Dict[EmotionType, float]) -> EmotionType:
+        return max(emotion_scores.items(), key=lambda x: x[1])[0]
+
+    def is_positive_response(self, emotion_scores: Dict[EmotionType, float]) -> bool:
+        positive_emotions = EmotionType.get_positive_emotions()
+        dominant_emotion = self.get_dominant_emotion(emotion_scores)
+        return dominant_emotion in positive_emotions

tests/conftest.py

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+import sys
+import pytest
+
+
+# each test runs on cwd to its temp dir
+@pytest.fixture(autouse=True)
+def go_to_tmpdir(request):
+    # Get the fixture dynamically by its name.
+    tmpdir = request.getfixturevalue("tmpdir")
+    # ensure local test created packages can be imported
+    sys.path.insert(0, str(tmpdir))
+    # Chdir only for the duration of the test.
+    with tmpdir.as_cwd():
+        yield

tests/test_base.py

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+from project_name.base import NAME
+
+
+def test_base():
+    assert NAME == "project_name"