Create app.py

app.py

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+%%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}")