rebuild

Dockerfile

@@ -23,4 +23,4 @@ ENV WHISPER_DEVICE=cpu
 ENV WHISPER_COMPUTE_TYPE=int8
 
 # Run FastAPI
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,10 +1,20 @@
----
-title: Video Processor Api
-emoji: 🌖
-colorFrom: indigo
-colorTo: pink
-sdk: docker
-pinned: false
----
+# 🎧 Video Processor API (Whisper + Gemini)
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+FastAPI-based video processor that:
+- Extracts audio from video using FFmpeg
+- Transcribes with Faster Whisper
+- Summarizes using Google Gemini API
+- Returns transcript, summary, and subtitles
+
+### 🔑 Environment Variables
+| Name | Description |
+|------|--------------|
+| `GEMINI_API_KEY` | Your Google Generative AI API key |
+| `WHISPER_MODEL` | Whisper model size (e.g., tiny, base, small) |
+| `WHISPER_DEVICE` | cpu or cuda |
+| `MAX_UPLOAD_MB` | Max upload file size |
+
+### 🚀 Run Locally
+```bash
+pip install -r requirements.txt
+python app.py

app.py → main.py

@@ -35,7 +35,7 @@ MAX_UPLOAD_MB = int(os.getenv("MAX_UPLOAD_MB", "200"))
 WHISPER_MODEL_SIZE = os.getenv("WHISPER_MODEL", "tiny")
 WHISPER_DEVICE = os.getenv("WHISPER_DEVICE", "cpu")  # or "cuda" if GPU available
 WHISPER_COMPUTE_TYPE = os.getenv("WHISPER_COMPUTE_TYPE", "int8")
-GEMINI_API_KEY = os.getenv("GEMINI_API_KEY", "AIzaSyD1EEbH_ybbRh_hemkxMyuaerIaLfXHWlQ")
+GEMINI_API_KEY = os.getenv("GEMINI_API_KEY", "")
 
 # Global variables
 running_jobs = 0
@@ -276,6 +276,10 @@ async def health_check():
         "memory_usage": psutil.Process().memory_info().rss // 1024 // 1024
     }
 
+@app.get("/")
+def root():
+    return JSONResponse({"message": "Video Processor API is running"})
+
 @app.get("/metrics")
 async def metrics():
     return {