Spaces:
Running
Running
Upload app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
-
from fastapi import FastAPI
|
|
|
2 |
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
|
3 |
from typing import List, Dict
|
4 |
import time
|
@@ -33,6 +34,13 @@ def inference(question: str, tables: Dict[str, List[str]]) -> str:
|
|
33 |
return result
|
34 |
|
35 |
app = FastAPI()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
36 |
|
37 |
@app.get("/")
|
38 |
def home():
|
@@ -43,7 +51,7 @@ def home():
|
|
43 |
"description": "This api can be used to convert natural language to SQL given the human prompt, tables and the attributes."
|
44 |
}
|
45 |
|
46 |
-
@app.get("/generate")
|
47 |
def generate(text:str):
|
48 |
start = time.time()
|
49 |
res = inference("how many people with name jui and age less than 25", {
|
@@ -65,6 +73,33 @@ def generate(text:str):
|
|
65 |
}
|
66 |
}
|
67 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
68 |
|
69 |
if __name__ == "__main__":
|
70 |
uvicorn.run(app, host="127.0.0.1", port=8000)
|
|
|
1 |
+
from fastapi import FastAPI, HTTPException
|
2 |
+
from fastapi.middleware.cors import CORSMiddleware
|
3 |
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
|
4 |
from typing import List, Dict
|
5 |
import time
|
|
|
34 |
return result
|
35 |
|
36 |
app = FastAPI()
|
37 |
+
app.add_middleware(
|
38 |
+
CORSMiddleware,
|
39 |
+
allow_origins=["*"], # Allows all origins
|
40 |
+
allow_credentials=True,
|
41 |
+
allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"], # Allows all methods
|
42 |
+
allow_headers=["*"], # Allows all headers
|
43 |
+
)
|
44 |
|
45 |
@app.get("/")
|
46 |
def home():
|
|
|
51 |
"description": "This api can be used to convert natural language to SQL given the human prompt, tables and the attributes."
|
52 |
}
|
53 |
|
54 |
+
@app.get("/test-generate")
|
55 |
def generate(text:str):
|
56 |
start = time.time()
|
57 |
res = inference("how many people with name jui and age less than 25", {
|
|
|
73 |
}
|
74 |
}
|
75 |
|
76 |
+
@app.post("/generate")
|
77 |
+
def generate(request_body:Dict):
|
78 |
+
if 'text' not in request_body or 'tables' not in request_body:
|
79 |
+
raise HTTPException(status_code=400, detail="Missing 'text' or 'tables' in request body")
|
80 |
+
|
81 |
+
prompt = request_body['text']
|
82 |
+
tables = request_body['tables']
|
83 |
+
|
84 |
+
start = time.time()
|
85 |
+
res = inference(prompt, tables)
|
86 |
+
end = time.time()
|
87 |
+
total_time_taken = end - start
|
88 |
+
current_utc_datetime = datetime.datetime.now(datetime.timezone.utc)
|
89 |
+
current_date = datetime.date.today()
|
90 |
+
timezone_name = time.tzname[time.daylight]
|
91 |
+
print(res)
|
92 |
+
return {
|
93 |
+
"api_response": f"{res}",
|
94 |
+
"time_taken(s)": f"{total_time_taken}",
|
95 |
+
"request_details": {
|
96 |
+
"utc_datetime": f"{current_utc_datetime}",
|
97 |
+
"current_date": f"{current_date}",
|
98 |
+
"timezone_name": f"{timezone_name}"
|
99 |
+
}
|
100 |
+
}
|
101 |
+
|
102 |
+
|
103 |
|
104 |
if __name__ == "__main__":
|
105 |
uvicorn.run(app, host="127.0.0.1", port=8000)
|