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prlabs2023
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7e1aade
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Parent(s):
272e197
Update app.py
Browse files
app.py
CHANGED
@@ -32,6 +32,13 @@ from fastapi import Form
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class Query(BaseModel):
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text: str
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code:str
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# device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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# tokenizer = BertTokenizerFast.from_pretrained('mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization')
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@@ -88,6 +95,7 @@ async def get_answer(q: Query ):
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text = q.text
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code= q.code
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N = 20
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@@ -100,7 +108,7 @@ async def get_answer(q: Query ):
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filename= res
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t = threading.Thread(target=do_ML, args=(filename,text,code))
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t.start()
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return JSONResponse({"id": filename})
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@@ -108,6 +116,25 @@ async def get_answer(q: Query ):
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return "hello"
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import requests
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import io
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import torch
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@@ -120,33 +147,36 @@ client = InferenceClient()
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# client = InferenceClient(model="SG161222/Realistic_Vision_V1.4")
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def do_ML(filename:str,text:str,code:str):
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imagei.save(byte_array, format='JPEG')
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image_bytes = byte_array.getvalue()
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# Handle the response as needed
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class Query(BaseModel):
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text: str
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code:str
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host:str
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class Query2(BaseModel):
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text: str
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code:str
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filename:str
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host:str
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# device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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# tokenizer = BertTokenizerFast.from_pretrained('mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization')
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text = q.text
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code= q.code
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host= q.host
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N = 20
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filename= res
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t = threading.Thread(target=do_ML, args=(filename,text,code,host))
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t.start()
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return JSONResponse({"id": filename})
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return "hello"
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@app.post("/error")
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async def get_answer(q: Query2 ):
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text = q.text
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code= q.code
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filename= q.filename
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host= q.host
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t = threading.Thread(target=do_ML, args=(filename,text,code,host))
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t.start()
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return JSONResponse({"id": filename})
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import requests
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import io
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import torch
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# client = InferenceClient(model="SG161222/Realistic_Vision_V1.4")
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def do_ML(filename:str,text:str,code:str,host:str):
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try:
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global client
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imagei = client.text_to_image(text)
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byte_array = io.BytesIO()
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imagei.save(byte_array, format='JPEG')
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image_bytes = byte_array.getvalue()
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files = {'file': image_bytes}
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global audio_space
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url = audio_space+code
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data = {"filename": filename}
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response = requests.post(url, files=files,data= data)
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print(response.text)
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if response.status_code == 200:
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print("File uploaded successfully.")
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# Handle the response as needed
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else:
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print("File upload failed.")
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except:
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data={"text":text,"filename":filename}
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requests.post(host+"texttoimage2handleerror",data=data)
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