Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -293,7 +293,7 @@ def respond(message, history: list[tuple[str, str]], system_message, max_tokens,
|
|
293 |
def transcribe_and_predict_video(video, user_input, chat_history=[]):
|
294 |
# Process the video for emotions (use your own emotion detection functions)
|
295 |
image_emotion = process_video(video)
|
296 |
-
text_emotion, audio_emotion = process_audio_from_video(video)
|
297 |
em = [image_emotion, text_emotion, audio_emotion]
|
298 |
|
299 |
# Format the conversation history
|
@@ -304,7 +304,7 @@ def transcribe_and_predict_video(video, user_input, chat_history=[]):
|
|
304 |
You are a helpful AI assistant. Respond like a human while considering the user's emotion.
|
305 |
|
306 |
User's Emotion: {em}
|
307 |
-
|
308 |
Conversation History:
|
309 |
{history_text}
|
310 |
|
|
|
293 |
def transcribe_and_predict_video(video, user_input, chat_history=[]):
|
294 |
# Process the video for emotions (use your own emotion detection functions)
|
295 |
image_emotion = process_video(video)
|
296 |
+
text_emotion, audio_emotion,text = process_audio_from_video(video)
|
297 |
em = [image_emotion, text_emotion, audio_emotion]
|
298 |
|
299 |
# Format the conversation history
|
|
|
304 |
You are a helpful AI assistant. Respond like a human while considering the user's emotion.
|
305 |
|
306 |
User's Emotion: {em}
|
307 |
+
video text context: {text}
|
308 |
Conversation History:
|
309 |
{history_text}
|
310 |
|