Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -37,7 +37,8 @@ emo_dict = {
|
|
37 |
class_options = {
|
38 |
"racism": ["racism", "hate speech", "bigotry", "racially targeted", "racial slur", "ethnic slur", "ethnic hate", "pro-white nationalism"],
|
39 |
"LGBTQ+ hate": ["gay slur", "trans slur", "homophobic slur", "transphobia", "anti-LBGTQ+", "hate speech"],
|
40 |
-
"sexually explicit": ["sexually explicit", "sexually coercive", "sexual exploitation", "vulgar", "raunchy", "sexist", "sexually demeaning", "sexual violence", "victim blaming"]
|
|
|
41 |
}
|
42 |
|
43 |
pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large")
|
@@ -133,9 +134,9 @@ def positive_affirmations():
|
|
133 |
with gr.Blocks() as iface:
|
134 |
show_state = gr.State([])
|
135 |
with gr.Column():
|
136 |
-
anxiety_class = gr.Radio(["racism", "LGBTQ+ hate", "sexually explicit"])
|
137 |
explit_preference = gr.Radio(choices=["N-Word", "B-Word", "All Explitives"], label="Words to omit from general anxiety classes", info="certain words may be acceptible within certain contects for given groups of people, and some people may be unbothered by explitives broadly speaking.")
|
138 |
-
emo_class = gr.Radio(choices=["negaitve emotionality"], label="
|
139 |
sense_slider = gr.Slider(minimum=1, maximum=5, step=1.0, label="How readily do you want the tool to intervene? 1 = in extreme cases and 5 = at every opportunity")
|
140 |
with gr.Column():
|
141 |
aud_input = gr.Audio(source="upload", type="filepath", label="Upload Audio File")
|
|
|
37 |
class_options = {
|
38 |
"racism": ["racism", "hate speech", "bigotry", "racially targeted", "racial slur", "ethnic slur", "ethnic hate", "pro-white nationalism"],
|
39 |
"LGBTQ+ hate": ["gay slur", "trans slur", "homophobic slur", "transphobia", "anti-LBGTQ+", "hate speech"],
|
40 |
+
"sexually explicit": ["sexually explicit", "sexually coercive", "sexual exploitation", "vulgar", "raunchy", "sexist", "sexually demeaning", "sexual violence", "victim blaming"],
|
41 |
+
"alcohol use": ["alcohol", "drinking", "drinks", "under the influence", "liquor", "beer", "wine"]
|
42 |
}
|
43 |
|
44 |
pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large")
|
|
|
134 |
with gr.Blocks() as iface:
|
135 |
show_state = gr.State([])
|
136 |
with gr.Column():
|
137 |
+
anxiety_class = gr.Radio(["racism", "LGBTQ+ hate", "sexually explicit", "alcohol use"])
|
138 |
explit_preference = gr.Radio(choices=["N-Word", "B-Word", "All Explitives"], label="Words to omit from general anxiety classes", info="certain words may be acceptible within certain contects for given groups of people, and some people may be unbothered by explitives broadly speaking.")
|
139 |
+
emo_class = gr.Radio(choices=["negaitve emotionality"], label="Negative Emotionality", info="Select if you would like explitives to be considered anxiety-indiucing in the case of anger/ negative emotionality.")
|
140 |
sense_slider = gr.Slider(minimum=1, maximum=5, step=1.0, label="How readily do you want the tool to intervene? 1 = in extreme cases and 5 = at every opportunity")
|
141 |
with gr.Column():
|
142 |
aud_input = gr.Audio(source="upload", type="filepath", label="Upload Audio File")
|