UdasriHasindu commited on
Commit
ac4efc7
·
1 Parent(s): 5345aa5

remove name from input fields

Browse files
README.md CHANGED
@@ -27,7 +27,6 @@ Submit a `multipart/form-data` POST request with:
27
 
28
  | Field | Type | Description |
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  |-------|------|-------------|
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- | `name` | string | Patient name |
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  | `age` | int | Age (11–119) |
32
  | `sex` | string | `male` or `female` |
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  | `test_time` | float | Time since recruitment (days) |
@@ -37,8 +36,7 @@ Submit a `multipart/form-data` POST request with:
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38
  ```json
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  {
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- "prediction": 18.42,
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- "patient": "John Doe"
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  }
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  ```
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27
 
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  | Field | Type | Description |
29
  |-------|------|-------------|
 
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  | `age` | int | Age (11–119) |
31
  | `sex` | string | `male` or `female` |
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  | `test_time` | float | Time since recruitment (days) |
 
36
 
37
  ```json
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  {
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+ "prediction": 18.42
 
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  }
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  ```
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routers/analyze_router.py CHANGED
@@ -9,7 +9,6 @@ router = APIRouter(
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10
  @router.post("/test")
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  async def test_endpoint(
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- name: str = Form(...),
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  age: int = Form(...),
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  sex: str = Form(...),
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  test_time: float = Form(...),
@@ -18,7 +17,6 @@ async def test_endpoint(
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19
  return {
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  "received_data": {
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- "name": name,
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  "age": age,
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  "sex": sex,
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  "test_time": test_time,
@@ -33,7 +31,6 @@ async def test_endpoint(
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  @router.post("/voice")
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  async def analyze_voice(
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- name: str = Form(..., min_length=1, max_length=100),
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  age: int = Form(..., gt=10, lt=120),
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  sex: str = Form(..., pattern="^(male|female)$"),
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  test_time: float = Form(..., gt=0),
@@ -42,7 +39,6 @@ async def analyze_voice(
42
  # for debugging
43
  print("-" * 20)
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  print("RECEIVED REQUEST FROM FRONTEND:")
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- print(f" Name: {name}")
46
  print(f"Age: {age}")
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  print(f"Sex: {sex}")
48
  print(f"Test Time: {test_time}")
@@ -59,7 +55,7 @@ async def analyze_voice(
59
 
60
  print("-" * 20)
61
 
62
- basic_info = {"age": age, "sex": sex, "name": name, "test_time": test_time}
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  print(f"Basic info being passed to service: {basic_info}")
64
 
65
  try:
 
9
 
10
  @router.post("/test")
11
  async def test_endpoint(
 
12
  age: int = Form(...),
13
  sex: str = Form(...),
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  test_time: float = Form(...),
 
17
 
18
  return {
19
  "received_data": {
 
20
  "age": age,
21
  "sex": sex,
22
  "test_time": test_time,
 
31
 
32
  @router.post("/voice")
33
  async def analyze_voice(
 
34
  age: int = Form(..., gt=10, lt=120),
35
  sex: str = Form(..., pattern="^(male|female)$"),
36
  test_time: float = Form(..., gt=0),
 
39
  # for debugging
40
  print("-" * 20)
41
  print("RECEIVED REQUEST FROM FRONTEND:")
 
42
  print(f"Age: {age}")
43
  print(f"Sex: {sex}")
44
  print(f"Test Time: {test_time}")
 
55
 
56
  print("-" * 20)
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58
+ basic_info = {"age": age, "sex": sex, "test_time": test_time}
59
  print(f"Basic info being passed to service: {basic_info}")
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61
  try:
schema/patient_inputs.py CHANGED
@@ -1,10 +1,6 @@
1
  from pydantic import BaseModel, Field
2
  from typing import Optional
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4
- class Patient(BaseModel):
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- id: Optional[int] = None
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- name: str
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-
8
  class BasicInfo(BaseModel):
9
  age: int = Field(..., gt=10, lt=120)
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  sex: str = Field(..., example="male")
 
1
  from pydantic import BaseModel, Field
2
  from typing import Optional
3
 
 
 
 
 
4
  class BasicInfo(BaseModel):
5
  age: int = Field(..., gt=10, lt=120)
6
  sex: str = Field(..., example="male")
services/voice_analyze_service.py CHANGED
@@ -13,10 +13,7 @@ async def process_audio_and_predict(audio_file, basic_info):
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  try:
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  voice_features = extract_voice_features(temp_file_path)
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- patient_name = basic_info['name']
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-
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- # exclude name
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- prediction_features = {k: v for k, v in basic_info.items() if k != 'name'}
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21
  # Encode sex: male=1, female=0
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  if 'sex' in prediction_features:
@@ -27,7 +24,7 @@ async def process_audio_and_predict(audio_file, basic_info):
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  print("CALLING ML MODEL...")
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  prediction = predict_parkinson(feature_data)
29
 
30
- final_result = {"prediction": prediction, "patient": patient_name}
31
  print(f"FINAL RESULT: {final_result}")
32
 
33
  return final_result
 
13
  try:
14
  voice_features = extract_voice_features(temp_file_path)
15
 
16
+ prediction_features = basic_info.copy()
 
 
 
17
 
18
  # Encode sex: male=1, female=0
19
  if 'sex' in prediction_features:
 
24
  print("CALLING ML MODEL...")
25
  prediction = predict_parkinson(feature_data)
26
 
27
+ final_result = {"prediction": prediction}
28
  print(f"FINAL RESULT: {final_result}")
29
 
30
  return final_result