Delete apppp

apppp

@@ -1,34 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-
-# Step 1: Initialize the text-generation pipeline
-pipe = pipeline("text-generation", model="sambanovasystems/SambaLingo-Bulgarian-Base")
-
-# Step 2: Define a function to generate Bulgarian text and convert it to TTS
-def generate_and_speak(prompt):
-    # Generate text using the model
-    generated_text = pipe(prompt, max_length=50, num_return_sequences=1)[0]["generated_text"]
-    
-    # Placeholder: Simulating TTS (you can replace this with an actual TTS library)
-    from gtts import gTTS
-    tts = gTTS(generated_text, lang="bg")
-    audio_file = "output.mp3"
-    tts.save(audio_file)
-    
-    return generated_text, audio_file
-
-# Step 3: Create Gradio interface
-with gr.Blocks() as demo:
-    gr.Markdown("## Bulgarian Text Generator and TTS")
-    with gr.Row():
-        input_prompt = gr.Textbox(label="Enter a prompt in Bulgarian:")
-        with gr.Column():
-            output_text = gr.Textbox(label="Generated Text")
-            output_audio = gr.Audio(label="Generated Speech", type="filepath")  # Changed "file" to "filepath"
-    generate_button = gr.Button("Generate")
-    
-    generate_button.click(generate_and_speak, inputs=input_prompt, outputs=[output_text, output_audio])
-
-# Run the app
-if __name__ == "__main__":
-    demo.launch()