Spaces:
Runtime error
Runtime error
app.py
CHANGED
@@ -6,20 +6,21 @@ def text2speech(text):
|
|
6 |
return fastspeech(text)
|
7 |
|
8 |
def engine(text_input):
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
|
14 |
#img = run(text_input,'50','256','256','1',10) #entities[0][0]
|
|
|
15 |
img = gr.Interface.load("spaces/multimodalart/latentdiffusion")(text_input,'50','256','256','1',10)[0] #inputs={'prompt':text_input,'steps':'50','width':'256','height':'256','images':'1','scale':10}).launch()
|
16 |
#img_intfc = gr.Interface.load("spaces/multimodalart/latentdiffusion", inputs=[gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text")],
|
17 |
#outputs=[gr.outputs.Image(type="pil", label="output image"),gr.outputs.Carousel(label="Individual images",components=["image"]),gr.outputs.Textbox(label="Error")], )
|
18 |
#title="Convert text to image")
|
19 |
#img = img_intfc[0]
|
20 |
#img = img_intfc(text_input,'50','256','256','1',10)
|
21 |
-
print(img)
|
22 |
-
print(type(img))
|
23 |
#print(img)
|
24 |
#print(type(img[1][0][0]))
|
25 |
#print(img[1])
|
@@ -27,13 +28,13 @@ def engine(text_input):
|
|
27 |
#inputs=['George',50,256,256,1,10]
|
28 |
#run(prompt, steps, width, height, images, scale)
|
29 |
|
30 |
-
|
31 |
-
return img
|
32 |
|
33 |
#image = gr.outputs.Image(type="pil", label="output image")
|
34 |
app = gr.Interface(engine,
|
35 |
gr.inputs.Textbox(lines=5, label="Input Text"),
|
36 |
-
gr.outputs.Image(type="auto", label="Output"),
|
37 |
#live=True,
|
38 |
#outputs=[#gr.outputs.Textbox(type="auto", label="Text"),gr.outputs.Audio(type="file", label="Speech Answer"),
|
39 |
#outputs= img, #gr.outputs.Carousel(label="Individual images",components=["image"]), #, gr.outputs.Textbox(label="Error")],
|
|
|
6 |
return fastspeech(text)
|
7 |
|
8 |
def engine(text_input):
|
9 |
+
ner = gr.Interface.load("huggingface/flair/ner-english-ontonotes-large")
|
10 |
+
entities = ner(text_input)
|
11 |
+
entities = [tupl for tupl in entities if None not in tupl]
|
12 |
+
entities_num = len(entities)
|
13 |
|
14 |
#img = run(text_input,'50','256','256','1',10) #entities[0][0]
|
15 |
+
|
16 |
img = gr.Interface.load("spaces/multimodalart/latentdiffusion")(text_input,'50','256','256','1',10)[0] #inputs={'prompt':text_input,'steps':'50','width':'256','height':'256','images':'1','scale':10}).launch()
|
17 |
#img_intfc = gr.Interface.load("spaces/multimodalart/latentdiffusion", inputs=[gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text"), gr.inputs.Textbox(lines=1, label="Input Text")],
|
18 |
#outputs=[gr.outputs.Image(type="pil", label="output image"),gr.outputs.Carousel(label="Individual images",components=["image"]),gr.outputs.Textbox(label="Error")], )
|
19 |
#title="Convert text to image")
|
20 |
#img = img_intfc[0]
|
21 |
#img = img_intfc(text_input,'50','256','256','1',10)
|
22 |
+
#print(img)
|
23 |
+
#print(type(img))
|
24 |
#print(img)
|
25 |
#print(type(img[1][0][0]))
|
26 |
#print(img[1])
|
|
|
28 |
#inputs=['George',50,256,256,1,10]
|
29 |
#run(prompt, steps, width, height, images, scale)
|
30 |
|
31 |
+
speech = text2speech(text_input)
|
32 |
+
return img, entities, speech
|
33 |
|
34 |
#image = gr.outputs.Image(type="pil", label="output image")
|
35 |
app = gr.Interface(engine,
|
36 |
gr.inputs.Textbox(lines=5, label="Input Text"),
|
37 |
+
[gr.outputs.Image(type="auto", label="Output"), gr.outputs.Textbox(type="auto", label="Text"), gr.outputs.Audio(type="file", label="Speech Answer") ],
|
38 |
#live=True,
|
39 |
#outputs=[#gr.outputs.Textbox(type="auto", label="Text"),gr.outputs.Audio(type="file", label="Speech Answer"),
|
40 |
#outputs= img, #gr.outputs.Carousel(label="Individual images",components=["image"]), #, gr.outputs.Textbox(label="Error")],
|