not-lain commited on
Commit
e8d566d
1 Parent(s): d391c25

added tabs

Browse files
Files changed (1) hide show
  1. app.py +80 -52
app.py CHANGED
@@ -10,7 +10,7 @@ import json
10
  import dotenv
11
  from scipy.io.wavfile import write
12
  import PIL
13
- from openai import OpenAI
14
  dotenv.load_dotenv()
15
 
16
  seamless_client = Client("facebook/seamless_m4t")
@@ -22,7 +22,6 @@ def process_speech(audio):
22
  """
23
  processing sound using seamless_m4t
24
  """
25
- print("running audio ... \n audio_value is", audio)
26
  audio_name = f"{np.random.randint(0, 100)}.wav"
27
  sr, data = audio
28
  write(audio_name, sr, data.astype(np.int16))
@@ -220,69 +219,98 @@ def convert_to_markdown(vectara_response_json):
220
  # Main function to handle the Gradio interface logic
221
 
222
 
223
- def process_and_query(text=None, image=None, audio=None):
224
  try:
225
  # augment the prompt before feeding it to vectara
226
  text = "the user asks the following to his health adviser " + text
227
  # If an image is provided, process it with OpenAI and use the response as the text query for Vectara
228
- if image is not None:
229
- text = process_image(image)
230
- return "**Summary:** "+text
231
- if audio is not None:
232
- text = process_speech(audio)
233
- # augment the prompt before feeding it to vectara
234
- text = "the user asks the following to his health adviser " + text
235
 
236
 
237
  # Now, use the text (either provided by the user or obtained from OpenAI) to query Vectara
238
  vectara_response_json = query_vectara(text)
239
  markdown_output = convert_to_markdown(vectara_response_json)
240
- client = OpenAI()
241
- prompt ="Answer in the same language, write it better, more understandable and shorter:"
242
- markdown_output_final = markdown_output
243
-
244
- completion = client.chat.completions.create(
245
- model="gpt-3.5-turbo",
246
- messages=[
247
- {"role": "system", "content": prompt},
248
- {"role": "user", "content": markdown_output_final}
249
- ]
250
- )
251
- final_response= completion.choices[0].message.content
252
- return final_response
253
  except Exception as e:
254
  return str(e)
255
 
256
 
257
  # Define the Gradio interface
258
- iface = gr.Interface(
259
- fn=process_and_query,
260
- inputs=[
261
- gr.Textbox(label="Input Text"),
262
- gr.Image(label="Upload Image"),
263
- gr.Audio(label="talk in french",
264
- sources=["microphone"]),
265
- ],
266
- outputs=[gr.Markdown(label="Output Text")],
267
- title="👋🏻Welcome to ⚕🗣️😷MultiMed - Access Chat ⚕🗣️😷",
268
- description='''
269
- ### How To Use ⚕🗣️😷MultiMed⚕:
270
- #### 🗣️📝Interact with ⚕🗣️😷MultiMed⚕ in any language using audio or text!
271
- #### 🗣️📝 This is an educational and accessible conversational tool to improve wellness and sanitation in support of public health.
272
- #### 📚🌟💼 The knowledge base is composed of publicly available medical and health sources in multiple languages. We also used [Kelvalya/MedAware](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset) that we processed and converted to HTML. The quality of the answers depends on the quality of the dataset, so if you want to see some data represented here, do [get in touch](https://discord.gg/GWpVpekp). You can also use 😷MultiMed⚕️ on your own data & in your own way by cloning this space. 🧬🔬🔍 Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/TeamTonic/MultiMed?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3>
273
- #### Join us : 🌟TeamTonic🌟 is always making cool demos! Join our active builder's🛠️community on 👻Discord: [Discord](https://discord.gg/GWpVpekp) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Polytonic](https://github.com/tonic-ai) & contribute to 🌟 [PolyGPT](https://github.com/tonic-ai/polygpt-alpha)"
274
- ''',
275
- theme='ParityError/Anime',
276
- examples=[
277
- ["What is the proper treatment for buccal herpes?"],
278
- ["Male, 40 presenting with swollen glands and a rash"],
279
- ["How does cellular metabolism work TCA cycle"],
280
- ["What special care must be provided to children with chicken pox?"],
281
- ["When and how often should I wash my hands ?"],
282
- ["بکل ہرپس کا صحیح علاج کیا ہے؟"],
283
- ["구강 헤르페스의 적절한 치료법은 무엇입니까?"],
284
- ["Je, ni matibabu gani sahihi kwa herpes ya buccal?"],
285
- ],
286
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
287
 
288
  iface.launch()
 
10
  import dotenv
11
  from scipy.io.wavfile import write
12
  import PIL
13
+ # from openai import OpenAI
14
  dotenv.load_dotenv()
15
 
16
  seamless_client = Client("facebook/seamless_m4t")
 
22
  """
23
  processing sound using seamless_m4t
24
  """
 
25
  audio_name = f"{np.random.randint(0, 100)}.wav"
26
  sr, data = audio
27
  write(audio_name, sr, data.astype(np.int16))
 
219
  # Main function to handle the Gradio interface logic
220
 
221
 
222
+ def process_and_query(text=None):
223
  try:
224
  # augment the prompt before feeding it to vectara
225
  text = "the user asks the following to his health adviser " + text
226
  # If an image is provided, process it with OpenAI and use the response as the text query for Vectara
227
+ # if image is not None:
228
+ # text = process_image(image)
229
+ # return "**Summary:** "+text
230
+ # if audio is not None:
231
+ # text = process_speech(audio)
232
+ # # augment the prompt before feeding it to vectara
233
+ # text = "the user asks the following to his health adviser " + text
234
 
235
 
236
  # Now, use the text (either provided by the user or obtained from OpenAI) to query Vectara
237
  vectara_response_json = query_vectara(text)
238
  markdown_output = convert_to_markdown(vectara_response_json)
239
+ # client = OpenAI()
240
+ # prompt ="Answer in the same language, write it better, more understandable and shorter:"
241
+ # markdown_output_final = markdown_output
242
+
243
+ # completion = client.chat.completions.create(
244
+ # model="gpt-3.5-turbo",
245
+ # messages=[
246
+ # {"role": "system", "content": prompt},
247
+ # {"role": "user", "content": markdown_output_final}
248
+ # ]
249
+ # )
250
+ # final_response= completion.choices[0].message.content
251
+ return markdown_output
252
  except Exception as e:
253
  return str(e)
254
 
255
 
256
  # Define the Gradio interface
257
+ # iface = gr.Interface(
258
+ # fn=process_and_query,
259
+ # inputs=[
260
+ # gr.Textbox(label="Input Text"),
261
+ # gr.Image(label="Upload Image"),
262
+ # gr.Audio(label="talk in french",
263
+ # sources=["microphone"]),
264
+ # ],
265
+ # outputs=[gr.Markdown(label="Output Text")],
266
+ # title="👋🏻Welcome to ⚕🗣️😷MultiMed - Access Chat ⚕🗣️😷",
267
+ # description='''
268
+ # ### How To Use ⚕🗣️😷MultiMed⚕:
269
+ # #### 🗣️📝Interact with ⚕🗣️😷MultiMed⚕ in any language using audio or text!
270
+ # #### 🗣️📝 This is an educational and accessible conversational tool to improve wellness and sanitation in support of public health.
271
+ # #### 📚🌟💼 The knowledge base is composed of publicly available medical and health sources in multiple languages. We also used [Kelvalya/MedAware](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset) that we processed and converted to HTML. The quality of the answers depends on the quality of the dataset, so if you want to see some data represented here, do [get in touch](https://discord.gg/GWpVpekp). You can also use 😷MultiMed⚕️ on your own data & in your own way by cloning this space. 🧬🔬🔍 Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/TeamTonic/MultiMed?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3>
272
+ # #### Join us : 🌟TeamTonic🌟 is always making cool demos! Join our active builder's🛠️community on 👻Discord: [Discord](https://discord.gg/GWpVpekp) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Polytonic](https://github.com/tonic-ai) & contribute to 🌟 [PolyGPT](https://github.com/tonic-ai/polygpt-alpha)"
273
+ # ''',
274
+ # theme='ParityError/Anime',
275
+ # examples=[
276
+ # ["What is the proper treatment for buccal herpes?"],
277
+ # ["Male, 40 presenting with swollen glands and a rash"],
278
+ # ["How does cellular metabolism work TCA cycle"],
279
+ # ["What special care must be provided to children with chicken pox?"],
280
+ # ["When and how often should I wash my hands ?"],
281
+ # ["بکل ہرپس کا صحیح علاج کیا ہے؟"],
282
+ # ["구강 헤르페스의 적절한 치료법은 무엇입니까?"],
283
+ # ["Je, ni matibabu gani sahihi kwa herpes ya buccal?"],
284
+ # ],
285
+ # )
286
+
287
+ welcome_message = """
288
+ # 👋🏻Welcome to ⚕🗣️😷MultiMed - Access Chat ⚕🗣️😷
289
+ ### How To Use ⚕🗣️😷MultiMed⚕:
290
+ #### 🗣️📝Interact with ⚕🗣️😷MultiMed⚕ in any language using audio or text!
291
+ #### 🗣️📝 This is an educational and accessible conversational tool to improve wellness and sanitation in support of public health.
292
+ #### 📚🌟💼 The knowledge base is composed of publicly available medical and health sources in multiple languages. We also used [Kelvalya/MedAware](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset) that we processed and converted to HTML. The quality of the answers depends on the quality of the dataset, so if you want to see some data represented here, do [get in touch](https://discord.gg/GWpVpekp). You can also use 😷MultiMed⚕️ on your own data & in your own way by cloning this space. 🧬🔬🔍 Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/TeamTonic/MultiMed?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3>
293
+ #### Join us : 🌟TeamTonic🌟 is always making cool demos! Join our active builder's🛠️community on 👻Discord: [Discord](https://discord.gg/GWpVpekp) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Polytonic](https://github.com/tonic-ai) & contribute to 🌟 [PolyGPT](https://github.com/tonic-ai/polygpt-alpha)"
294
+ """
295
+
296
+ with gr.Blocks(theme='ParityError/Anime') as iface :
297
+ gr.Markdown(welcome_message)
298
+ with gr.Tab("text summarization"):
299
+ text_input = gr.Textbox(label="input text",lines=5)
300
+ text_output = gr.Markdown(label="output text")
301
+ text_button = gr.Button("process text")
302
+ with gr.Tab("image identification"):
303
+ image_input = gr.Image(label="upload image")
304
+ image_output = gr.Markdown(label="output text")
305
+ image_button = gr.Button("process image")
306
+ with gr.Tab("speech to text translation"):
307
+ audio_input = gr.Audio(label="talk in french",
308
+ sources=["microphone"])
309
+ audio_output = gr.Markdown(label="output text")
310
+ audio_button = gr.Button("process audio")
311
+ text_button.click(process_and_query, inputs=text_input, outputs=text_output)
312
+ image_button.click(process_image, inputs=image_input, outputs=image_output)
313
+ audio_button.click(process_speech, inputs=audio_input, outputs=audio_output)
314
+
315
 
316
  iface.launch()