Update app.py

app.py

@@ -1,88 +1,88 @@
-import gradio as gr
-from google import genai
-from google.genai import types
-import wave
-import os
-from dotenv import load_dotenv
-
-# Load API key
-load_dotenv()
-GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
-client = genai.Client(api_key=GOOGLE_API_KEY)
-
-# Save audio from PCM to WAV
-def wave_file(filename, pcm, channels=1, rate=24000, sample_width=2):
-    with wave.open(filename, "wb") as wf:
-        wf.setnchannels(channels)
-        wf.setsampwidth(sample_width)
-        wf.setframerate(rate)
-        wf.writeframes(pcm)
-
-# Gemini TTS generation function
-def generate_speech(text, voice):
-    try:
-        response = client.models.generate_content(
-            model="gemini-2.5-flash-preview-tts",
-            contents=text,
-            config=types.GenerateContentConfig(
-                response_modalities=["AUDIO"],
-                speech_config=types.SpeechConfig(
-                    voice_config=types.VoiceConfig(
-                        prebuilt_voice_config=types.PrebuiltVoiceConfig(
-                            voice_name=voice
-                        )
-                    )
-                )
-            )
-        )
-
-        audio_data = response.candidates[0].content.parts[0].inline_data.data
-        output_path = "output.wav"
-        wave_file(output_path, audio_data)
-        return output_path, output_path, "Speech generated successfully."
-
-    except Exception as e:
-        return None, None, f"Error: {str(e)}"
-
-# Gradio app using Blocks
-with gr.Blocks(title="Gemini TTS Demo") as demo:
-    gr.Markdown("## Google Gemini Text-to-Speech")
-    gr.Markdown("Enter text below, choose a voice, and listen to the generated speech.")
-
-    with gr.Row():
-        text_input = gr.Textbox(
-            lines=3,
-            label="Enter Text",
-            placeholder="Example: Welcome to the world of AI."
-        )
-        voice_input = gr.Dropdown(
-            choices=["Kore", "Wes"],
-            value="Kore",
-            label="Select Voice"
-        )
-
-    with gr.Row():
-        generate_btn = gr.Button("Generate Speech", variant="primary")
-
-    with gr.Row():
-        audio_output = gr.Audio(label="Generated Audio")
-        file_output = gr.File(label="Download Audio File")
-        status_output = gr.Textbox(label="Status", interactive=False)
-
-    examples = gr.Examples(
-        examples=[
-            ["Good morning! Hope you have a great day ahead.", "Kore"],
-            ["Welcome to the future of AI voice generation.", "Wes"],
-            ["Your appointment is scheduled for 3 PM on Monday.", "Kore"],
-            ["This is a demo of Google's Gemini text-to-speech feature.", "Wes"],
-        ],
-        inputs=[text_input, voice_input],
-    )
-
-    generate_btn.click(
-        fn=generate_speech,
-        inputs=[text_input, voice_input],
-        outputs=[audio_output, file_output, status_output],
-    )
-
-demo.launch()
+import gradio as gr
+from google import genai
+from google.genai import types
+import wave
+import os
+from dotenv import load_dotenv
+
+# Load API key
+load_dotenv()
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+client = genai.Client(api_key=GOOGLE_API_KEY)
+
+# Save audio from PCM to WAV
+def wave_file(filename, pcm, channels=1, rate=24000, sample_width=2):
+    with wave.open(filename, "wb") as wf:
+        wf.setnchannels(channels)
+        wf.setsampwidth(sample_width)
+        wf.setframerate(rate)
+        wf.writeframes(pcm)
+
+# Gemini TTS generation function
+def generate_speech(text, voice):
+    try:
+        response = client.models.generate_content(
+            model="gemini-2.5-flash-preview-tts",
+            contents=text,
+            config=types.GenerateContentConfig(
+                response_modalities=["AUDIO"],
+                speech_config=types.SpeechConfig(
+                    voice_config=types.VoiceConfig(
+                        prebuilt_voice_config=types.PrebuiltVoiceConfig(
+                            voice_name=voice
+                        )
+                    )
+                )
+            )
+        )
+
+        audio_data = response.candidates[0].content.parts[0].inline_data.data
+        output_path = "output.wav"
+        wave_file(output_path, audio_data)
+        return output_path, output_path, "Speech generated successfully."
+
+    except Exception as e:
+        return None, None, f"Error: {str(e)}"
+
+# Gradio app using Blocks
+with gr.Blocks(title="Gemini TTS Demo") as demo:
+    gr.Markdown("## Google Gemini Text-to-Speech")
+    gr.Markdown("Enter text below, choose a voice, and listen to the generated speech.")
+
+    with gr.Row():
+        text_input = gr.Textbox(
+            lines=3,
+            label="Enter Text",
+            placeholder="Example: Welcome to the world of AI."
+        )
+        voice_input = gr.Dropdown(
+            choices = ["Zephyr", "Puck", "Charon", "Kore", "Fenrir", "Leda", "Orus", "Aoede", "Callirrhoe", "Autonoe", "Enceladus", "Iapetus", "Umbriel", "Algieba", "Despina", "Erinome", "Algenib", "Rasalgethi", "Laomedeia", "Achernar", "Alnilam", "Schedar", "Gacrux", "Pulcherrima", "Achird", "Zubenelgenubi", "Vindemiatrix", "Sadachbia", "Sadaltager", "Sulafat"],
+            value="Kore",
+            label="Select Voice"
+        )
+
+    with gr.Row():
+        generate_btn = gr.Button("Generate Speech", variant="primary")
+
+    with gr.Row():
+        audio_output = gr.Audio(label="Generated Audio")
+        file_output = gr.File(label="Download Audio File")
+        status_output = gr.Textbox(label="Status", interactive=False)
+
+    examples = gr.Examples(
+        examples=[
+            ["Good morning! Hope you have a great day ahead.", "Kore"],
+            ["Welcome to the future of AI voice generation.", "Wes"],
+            ["Your appointment is scheduled for 3 PM on Monday.", "Kore"],
+            ["This is a demo of Google's Gemini text-to-speech feature.", "Wes"],
+        ],
+        inputs=[text_input, voice_input],
+    )
+
+    generate_btn.click(
+        fn=generate_speech,
+        inputs=[text_input, voice_input],
+        outputs=[audio_output, file_output, status_output],
+    )
+
+demo.launch()