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ParthCodes
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Update app.py
Browse files
app.py
CHANGED
@@ -176,7 +176,10 @@ def analyze_sentiment(text):
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def video_to_audio(input_video):
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video_emotion_totals, frames_sentiments, body_language, distraction_rate = extract_frames(input_video)
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print("Total Video Emotions ... Done")
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print("Video Frame Sentiment ... Done")
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@@ -303,6 +306,7 @@ def video_to_audio(input_video):
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payload = {
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'from': 'gradio',
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'total_video_emotions': video_emotion_totals,
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'emotions_final': emotion_finals,
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'body_language': body_language,
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@@ -313,11 +317,12 @@ def video_to_audio(input_video):
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print(payload)
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response = requests.post('
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with gr.Blocks(theme=theme, css=".gradio-container { background: rgba(255, 255, 255, 0.2) !important; box-shadow: 0 8px 32px 0 rgba( 31, 38, 135, 0.37 ) !important; backdrop-filter: blur( 10px ) !important; -webkit-backdrop-filter: blur( 10px ) !important; border-radius: 10px !important; border: 1px solid rgba( 0, 0, 0, 0.
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input_video = gr.Video(sources=["webcam", "upload"], format='mp4')
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input_video.stop_recording(fn=video_to_audio, inputs=input_video)
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Video.launch()
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def video_to_audio(input_video):
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temp = requests.get('https://parthcodes-flask-tester.hf.space/useridping')
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user_id = temp.json()
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print(user_id)
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video_emotion_totals, frames_sentiments, body_language, distraction_rate = extract_frames(input_video)
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print("Total Video Emotions ... Done")
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print("Video Frame Sentiment ... Done")
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payload = {
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'from': 'gradio',
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'user_id': user_id,
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'total_video_emotions': video_emotion_totals,
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'emotions_final': emotion_finals,
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'body_language': body_language,
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print(payload)
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response = requests.post('https://parthcodes-flask-tester.hf.space/interview', json=payload)
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with gr.Blocks(theme=theme, css=".gradio-container { background: rgba(255, 255, 255, 0.2) !important; box-shadow: 0 8px 32px 0 rgba( 31, 38, 135, 0.37 ) !important; backdrop-filter: blur( 10px ) !important; -webkit-backdrop-filter: blur( 10px ) !important; border-radius: 10px !important; border: 1px solid rgba( 0, 0, 0, 0.5 ) !important;}") as Video:
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input_video = gr.Video(sources=["webcam", "upload"], format='mp4')
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input_video.stop_recording(fn=video_to_audio, inputs=input_video)
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input_video.upload(fn=video_to_audio, inputs=input_video)
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Video.launch()
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