ciaochris commited on
Commit
55bae06
·
verified ·
1 Parent(s): c40ef27

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -24
app.py CHANGED
@@ -14,17 +14,11 @@
14
 
15
  import gradio as gr
16
  import numpy as np
17
- from groq import Groq
18
  import soundfile as sf
19
  from sentence_transformers import SentenceTransformer
20
  from sklearn.metrics.pairwise import cosine_similarity
21
 
22
- # Initialize Groq client
23
- client = Groq(
24
- api_key=os.environ.get("GROQ_API_KEY"),
25
- )
26
  # Load the pre-trained Sentence Transformer model
27
-
28
  model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
29
 
30
  # Function to generate a subliminal message
@@ -172,15 +166,12 @@ def wellness_analyzer(input_text, uploaded_file=None):
172
  output = """
173
  <div style="font-family: Arial, sans-serif; line-height: 1.6;">
174
  <h3 style="color: #4a4a4a;">Detected Emotional State: {0}</h3>
175
-
176
  <p><strong>Recommended Tone:</strong> {1}</p>
177
-
178
  <p><strong>Personalized Advice:</strong></p>
179
  <ol>
180
  {2}
181
  </ol>
182
-
183
- <p><em>Listen to the generated audio file for a custom 30-second vibrational experience.</em></p>
184
  </div>
185
  """.format(
186
  emotion.capitalize(),
@@ -190,18 +181,6 @@ def wellness_analyzer(input_text, uploaded_file=None):
190
 
191
  return output, audio_file
192
 
193
- try:
194
- chat_completion = client.chat.completions.create(
195
- messages=[
196
- {
197
- "role": "user",
198
- "content": prompt,
199
- }
200
- ],
201
- model="llama-3.1-8b-instant",
202
- max_tokens=10, # Increased to allow for longer emotion words
203
- )
204
-
205
  # Define custom CSS
206
  custom_css = """
207
  .footer {
@@ -234,12 +213,12 @@ with gr.Blocks(css=custom_css) as interface:
234
 
235
  with gr.Column(scale=3):
236
  output_text = gr.HTML(label="Analysis and Advice")
237
- output_audio = gr.Audio(label="Your Custom 30-second Vibrational Tone🎶", type="filepath")
238
 
239
  gr.Markdown(
240
  """
241
  <div class="footer">
242
- <p>Vers3Dynamics - Harmonizing your well-being through vibrational frequencies.</p>
243
  </div>
244
  """
245
  )
 
14
 
15
  import gradio as gr
16
  import numpy as np
 
17
  import soundfile as sf
18
  from sentence_transformers import SentenceTransformer
19
  from sklearn.metrics.pairwise import cosine_similarity
20
 
 
 
 
 
21
  # Load the pre-trained Sentence Transformer model
 
22
  model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
23
 
24
  # Function to generate a subliminal message
 
166
  output = """
167
  <div style="font-family: Arial, sans-serif; line-height: 1.6;">
168
  <h3 style="color: #4a4a4a;">Detected Emotional State: {0}</h3>
 
169
  <p><strong>Recommended Tone:</strong> {1}</p>
 
170
  <p><strong>Personalized Advice:</strong></p>
171
  <ol>
172
  {2}
173
  </ol>
174
+ <p><em>Listen to the generated audio file for a custom 30-second vibrational experience with subliminal messaging.</em></p>
 
175
  </div>
176
  """.format(
177
  emotion.capitalize(),
 
181
 
182
  return output, audio_file
183
 
 
 
 
 
 
 
 
 
 
 
 
 
184
  # Define custom CSS
185
  custom_css = """
186
  .footer {
 
213
 
214
  with gr.Column(scale=3):
215
  output_text = gr.HTML(label="Analysis and Advice")
216
+ output_audio = gr.Audio(label="Your Custom 30-second Vibrational Tone with Subliminal Message 🎶", type="filepath")
217
 
218
  gr.Markdown(
219
  """
220
  <div class="footer">
221
+ <p>Vers3Dynamics - Harmonizing your well-being through vibrational frequencies and subliminal messaging.</p>
222
  </div>
223
  """
224
  )