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app.py

@@ -1,8 +1,63 @@
-from fastapi import FastAPI
+import io
+import numpy as np
+from scipy.io import wavfile
+import librosa
+from fastapi import Depends, FastAPI, File, UploadFile, HTTPException
+from utils.audio_cleaning import denoise_audio, normalize_audio
+from config.settings import Settings, get_settings
+from config import constants
+from groq import Groq
 
+groq_client = Groq(api_key=get_settings().groq_secret_key)
 app = FastAPI()
 
+
 @app.get("/")
-async def root():
-    return {"message": "Hello World"}
-    
+def root():
+    return {"status": "ok"}
+
+
+@app.post("/transcribe")
+async def process_and_transcribe(file: UploadFile = File(...)):
+    audio_bytes = await file.read()
+    print(f"File size: {len(audio_bytes)} bytes")
+    if len(audio_bytes) == 0:
+        raise HTTPException(400, "Empty file")
+
+    buffer = io.BytesIO(audio_bytes)
+    waveform, sr = librosa.load(buffer, sr=None)
+
+    cleaned_audio = denoise_audio(waveform, sr)
+    cleaned_audio = normalize_audio(cleaned_audio)
+
+    # prepare audio to be sent
+    audio_np = cleaned_audio.detach().cpu().numpy().squeeze()
+    audio_np = librosa.resample(audio_np, orig_sr=sr, target_sr=constants.GROQ_TARGET_SR)
+    audio_int16 = (audio_np * 32767).astype(np.int16)
+
+    export_buffer = io.BytesIO()
+    wavfile.write(export_buffer, constants.GROQ_TARGET_SR, audio_int16)
+    export_buffer.seek(0)
+
+    try:
+        transcription = groq_client.audio.transcriptions.create(
+            file=(file.filename, export_buffer.read()),
+            model=constants.GROQ_MODEL_NAME,
+            response_format="json",
+            language="en",
+        )
+        return {
+            "transcript": transcription.text,
+            "filename": file.filename,
+            "duration_seconds": round(len(waveform) / sr, 2),
+        }
+
+    except Exception as e:
+        print(f"Groq API Error: {e}")
+        raise HTTPException(500, f"Transcription failed: {str(e)}")
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run("index:app", host="127.0.0.1", port=8000, reload=True)

config/settings.py

@@ -4,13 +4,7 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 
 class Settings(BaseSettings):
     # Pydantic automatically finds CLERK_SECRET_KEY in your .env.local
-    clerk_secret_key: str
-    gemini_api_key: str
     groq_secret_key: str
-    next_public_clerk_publishable_key: str
-    smtp_password: str
-    smtp_user: str
-    vercel_oidc_token: str
     
     model_config = SettingsConfigDict(env_file=".env.local", env_file_encoding="utf-8")
 

index.py

@@ -1,63 +0,0 @@
-import io
-import numpy as np
-from scipy.io import wavfile
-import librosa
-from fastapi import Depends, FastAPI, File, UploadFile, HTTPException
-from api.utils.audio_cleaning import denoise_audio, normalize_audio
-from api.config.settings import Settings, get_settings
-from api.config import constants
-from groq import Groq
-
-groq_client = Groq(api_key=get_settings().groq_secret_key)
-app = FastAPI()
-
-
-@app.get("/")
-def root():
-    return {"status": "ok"}
-
-
-@app.post("/api/transcribe")
-async def process_and_transcribe(file: UploadFile = File(...)):
-    audio_bytes = await file.read()
-    print(f"File size: {len(audio_bytes)} bytes")
-    if len(audio_bytes) == 0:
-        raise HTTPException(400, "Empty file")
-
-    buffer = io.BytesIO(audio_bytes)
-    waveform, sr = librosa.load(buffer, sr=None)
-
-    cleaned_audio = denoise_audio(waveform, sr)
-    cleaned_audio = normalize_audio(cleaned_audio)
-
-    # prepare audio to be sent
-    audio_np = cleaned_audio.detach().cpu().numpy().squeeze()
-    audio_np = librosa.resample(audio_np, orig_sr=sr, target_sr=constants.GROQ_TARGET_SR)
-    audio_int16 = (audio_np * 32767).astype(np.int16)
-
-    export_buffer = io.BytesIO()
-    wavfile.write(export_buffer, constants.GROQ_TARGET_SR, audio_int16)
-    export_buffer.seek(0)
-
-    try:
-        transcription = groq_client.audio.transcriptions.create(
-            file=(file.filename, export_buffer.read()),
-            model=constants.GROQ_MODEL_NAME,
-            response_format="json",
-            language="en",
-        )
-        return {
-            "transcript": transcription.text,
-            "filename": file.filename,
-            "duration_seconds": round(len(waveform) / sr, 2),
-        }
-
-    except Exception as e:
-        print(f"Groq API Error: {e}")
-        raise HTTPException(500, f"Transcription failed: {str(e)}")
-
-
-if __name__ == "__main__":
-    import uvicorn
-
-    uvicorn.run("index:app", host="127.0.0.1", port=8000, reload=True)

requirements.txt

@@ -1,63 +1,60 @@
-# annotated-doc==0.0.4
-# annotated-types==0.7.0
-# anyio==4.13.0
-# appdirs==1.4.4
-# audioread==3.1.0
-# certifi==2026.4.22
-# cffi==2.0.0
-# charset-normalizer==3.4.7
-# click==8.3.3
-# DeepFilterLib==0.5.6
-# DeepFilterNet==0.5.6
-# distro==1.9.0
-# fastapi==0.136.1
-# filelock==3.29.0
-# fsspec==2026.4.0
-# git-filter-repo==2.47.0
-# groq==1.2.0
-# h11==0.16.0
-# httpcore==1.0.9
-# httpx==0.28.1
-# idna==3.15
-# intel-openmp==2021.4.0
-# Jinja2==3.1.6
-# joblib==1.5.3
-# lazy-loader==0.5
-# librosa==0.11.0
-# llvmlite==0.47.0
-# loguru==0.7.3
-# MarkupSafe==3.0.3
-# mkl==2021.4.0
-# mpmath==1.3.0
-# msgpack==1.1.2
-# networkx==3.4.2
-# numba==0.65.1
-# numpy==1.26.4
-# packaging==23.2
-# pillow==12.2.0
-# pooch==1.9.0
-# pycparser==3.0
-# pydantic==2.13.4
-# pydantic-settings==2.14.1
-# pydantic_core==2.46.4
-# python-dotenv==1.2.2
-# python-multipart==0.0.28
-# requests==2.34.2
-# scikit-learn==1.7.2
-# scipy==1.15.3
-# sniffio==1.3.1
-# soundfile==0.13.1
-# soxr==1.1.0
-# starlette==1.0.0
-# sympy==1.14.0
-# tbb==2021.13.1
-# threadpoolctl==3.6.0
-# torch==2.3.0
-# torchaudio==2.3.0
-# torchvision==0.18.0
-# typing-inspection==0.4.2
-# urllib3==2.7.0
-# uvicorn==0.47.0
-
-uvicorn
-fastapi
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.13.0
+appdirs==1.4.4
+audioread==3.1.0
+certifi==2026.4.22
+cffi==2.0.0
+charset-normalizer==3.4.7
+click==8.3.3
+DeepFilterLib==0.5.6
+DeepFilterNet==0.5.6
+distro==1.9.0
+fastapi==0.136.1
+filelock==3.29.0
+fsspec==2026.4.0
+git-filter-repo==2.47.0
+groq==1.2.0
+h11==0.16.0
+httpcore==1.0.9
+httpx==0.28.1
+idna==3.15
+intel-openmp==2021.4.0
+Jinja2==3.1.6
+joblib==1.5.3
+lazy-loader==0.5
+librosa==0.11.0
+llvmlite==0.47.0
+loguru==0.7.3
+MarkupSafe==3.0.3
+mkl==2021.4.0
+mpmath==1.3.0
+msgpack==1.1.2
+networkx==3.4.2
+numba==0.65.1
+numpy==1.26.4
+packaging==23.2
+pillow==12.2.0
+pooch==1.9.0
+pycparser==3.0
+pydantic==2.13.4
+pydantic-settings==2.14.1
+pydantic_core==2.46.4
+python-dotenv==1.2.2
+python-multipart==0.0.28
+requests==2.34.2
+scikit-learn==1.7.2
+scipy==1.15.3
+sniffio==1.3.1
+soundfile==0.13.1
+soxr==1.1.0
+starlette==1.0.0
+sympy==1.14.0
+tbb==2021.13.1
+threadpoolctl==3.6.0
+torch==2.3.0
+torchaudio==2.3.0
+torchvision==0.18.0
+typing-inspection==0.4.2
+urllib3==2.7.0
+uvicorn==0.47.0