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Browse files- app.py +58 -0
- requirements.txt +53 -0
app.py
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import gradio as gr
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from gradio_client import Client , handle_file
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import cv2
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import os
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from PIL import Image
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clientImgPipeLn = Client("dj-dawgs-ipd/IPD_IMAGE_PIPELINE")
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def predict(video_path):
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cap = cv2.VideoCapture(video_path)
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fps = int(cap.get(cv2.CAP_PROP_FPS))
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frame_interval = fps * 2
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frame_count = 0
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success = True
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temp_dir = "temp_frames"
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os.makedirs(temp_dir, exist_ok=True)
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res = 'not_hate'
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while success:
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success, frame = cap.read()
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if frame_count % frame_interval == 0 and success:
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temp_image_path = os.path.join(temp_dir, f"frame_{frame_count // fps}s.jpg")
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cv2.imwrite(temp_image_path, frame)
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response = clientImgPipeLn.predict(
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image=handle_file(temp_image_path),
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api_name="/predict"
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)
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print(f"Response for frame at {frame_count // fps}s: {response}")
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if(response[0]['label'] == 'hate'):
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res = 'hate'
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break
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frame_count += 1
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cap.release()
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for file in os.listdir(temp_dir):
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os.remove(os.path.join(temp_dir, file))
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os.rmdir(temp_dir)
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print("prediction successful")
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return res
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iface = gr.Interface(fn=predict,
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inputs = gr.Video(),
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outputs=[gr.Label(label = "Class")],
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title = "Hate Speech Detection in Video",
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description = "Detect hateful symbols or text in Video"
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)
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if __name__ == "__main__":
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iface.launch()
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requirements.txt
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aiofiles==23.2.1
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annotated-types==0.7.0
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anyio==4.7.0
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certifi==2024.12.14
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charset-normalizer==3.4.1
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click==8.1.8
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colorama==0.4.6
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fastapi==0.115.6
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ffmpy==0.5.0
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filelock==3.16.1
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fsspec==2024.12.0
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gradio==5.9.1
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gradio_client==1.5.2
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h11==0.14.0
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httpcore==1.0.7
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httpx==0.28.1
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huggingface-hub==0.27.0
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idna==3.10
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Jinja2==3.1.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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mdurl==0.1.2
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numpy==2.2.1
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opencv-python==4.10.0.84
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orjson==3.10.12
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packaging==24.2
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pandas==2.2.3
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pillow==11.0.0
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pydantic==2.10.4
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pydantic_core==2.27.2
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pydub==0.25.1
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Pygments==2.18.0
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python-dateutil==2.9.0.post0
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python-multipart==0.0.20
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pytz==2024.2
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PyYAML==6.0.2
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requests==2.32.3
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rich==13.9.4
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ruff==0.8.4
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safehttpx==0.1.6
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.17.0
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sniffio==1.3.1
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starlette==0.41.3
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tomlkit==0.13.2
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tqdm==4.67.1
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typer==0.15.1
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typing_extensions==4.12.2
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tzdata==2024.2
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urllib3==2.3.0
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uvicorn==0.34.0
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websockets==14.1
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