changes

main.py

@@ -8,6 +8,7 @@ from fastapi import FastAPI, File, UploadFile
 import warnings
 from starlette.formparsers import MultiPartParser
 import io
+import random
 
 
 MultiPartParser.max_file_size = 200 * 1024 * 1024
@@ -72,6 +73,9 @@ def apply_spell_check(item, word_list):
 async def root():
     return "Welcome to the pronunciation scoring API!"
 
+@app.post('/random_number_check')
+async def rnc():
+    return random.randint(10)
 @app.post('/pronunciation_scoring')
 async def unscripted_root(audio_file: UploadFile):
     print("Pronunciation Scoring")

requirements.txt

@@ -4,4 +4,5 @@ librosa
 torch
 transformers
 fastapi
-starlette
+starlette
+random

test_api.py

@@ -0,0 +1,41 @@
+import requests
+import os
+
+# The URL of the pronunciation scoring API
+url = "https://huggingface.co/spaces/Kartikeyssj2/pronunciation-scoring/pronunciation_scoring"
+
+# Path to your audio file
+audio_file_path = "D:\Freelancing\AI Feature Scoring\deployed endpoints\Pronunciation\Pronunciation_Scoring\pronunciation-scoring\WhatsApp Audio 2024-07-08 at 21.18.00_659e4840.waptt.opus"  # Replace with the actual path to your audio file
+
+# Check if the file exists
+if not os.path.exists(audio_file_path):
+    print(f"Error: The file {audio_file_path} does not exist.")
+    exit(1)
+
+# Prepare the files for the POST request
+files = {
+    "audio_file": open(audio_file_path, 'rb')
+}
+
+try:
+    # Make the POST request
+    audio_file = open(audio_file_path , "rb")
+    print(audio_file)
+    response = requests.post(url, file = audio_file)
+
+    # Check if the request was successful
+    if response.status_code == 200:
+        # Parse the JSON response
+        result = response.json()
+        print("Transcription:", result["transcription"])
+        print("Pronunciation Score:", result["pronunciation_score"])
+    else:
+        print(f"Error: Received status code {response.status_code}")
+        print(response.text)
+
+except requests.exceptions.RequestException as e:
+    print(f"An error occurred while making the request: {e}")
+
+finally:
+    # Close the file
+    files['audio_file'].close()