Update app.py

app.py

@@ -234,4 +234,41 @@ if __name__ == "__main__":
     if "gradio" in sys.argv:
         run_gradio_ui()
     else:
-        uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=True)
+        uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=True)
+        import whisper
+from transformers import pipeline
+from gtts import gTTS
+import gradio as gr
+import os
+
+# Load Whisper model
+whisper_model = whisper.load_model("small")
+
+# Load translation pipeline (English to Hindi)
+translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-hi")
+
+def transcribe_translate_dub(audio_path):
+    # Step 1: Transcribe audio using Whisper
+    result = whisper_model.transcribe(audio_path)
+    english_text = result["text"]
+
+    # Step 2: Translate English to Hindi
+    translated = translator(english_text)[0]["translation_text"]
+
+    # Step 3: Text-to-Speech (Hindi)
+    tts = gTTS(translated, lang='hi')
+    tts.save("dubbed_audio.mp3")
+
+    return translated, "dubbed_audio.mp3"
+
+# Gradio UI
+gr.Interface(
+    fn=transcribe_translate_dub,
+    inputs=gr.Audio(source="upload", type="filepath", label="Upload English Audio"),
+    outputs=[
+        gr.Textbox(label="Hindi Translation"),
+        gr.Audio(label="Hindi Dubbed Audio")
+    ],
+    title="🎙️ English to Hindi Video Dubbing AI",
+    description="Upload English audio, get Hindi translation and dubbed voice."
+).launch()