Update app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load a free speech-to-text model (Whisper small)
+transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-small")
+
+def video_to_text(video_file):
+    # The pipeline will automatically extract audio from video
+    result = transcriber(video_file)
+    return result["text"]
+
+# Create Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# 🎥 Video to Text AI Tool\nUpload a video and get the transcription for free!")
+
+    with gr.Row():
+        video_input = gr.Video(label="Upload your video")
+        text_output = gr.Textbox(label="Transcribed Text", lines=10)
+
+    submit_btn = gr.Button("Generate Text")
+    submit_btn.click(fn=video_to_text, inputs=video_input, outputs=text_output)
+
+demo.launch()