%%capture
!pip install transformers

from transformers import pipeline

from google.colab import files
uploaded = files.upload()
print(f"Uploaded files: {list(uploaded.keys())}")

from google.colab import userdata
my_key = userdata.get('key')

import requests

API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3-turbo"
headers = {"Authorization": f"Bearer {my_key}"}

def query(filename):
  filename = list(uploaded.keys())[0]  # Get the uploaded file's nameprint("Uploaded filename:", filename)
  with open(filename, "rb") as f:
        data = f.read()
  response = requests.post(API_URL, headers=headers, data=data)
  return response.json()

results = {}  
for filename, file_data in uploaded.items():
    # Save the file locally
    with open(filename, "wb") as f:
        f.write(file_data)
    
    print(f"Sending {filename} to API...")
    output = query(filename)
    
    # Store the result
    results[filename] = output

# Step 3: Print results
for file, result in results.items():
    print(f"\nResults for {file}:\n{result}")