Update app.py

app.py

@@ -1,7 +1,52 @@
 import gradio as gr
 
+
 def greet(name):
     return "Hello " + name + "!!"
 
+
+language_dict = {
+    "English-Jenny (Female)": "en-US-JennyNeural",
+}
+
+
+async def text_to_speech_edge(text, language_code, rate, volume, pitch):
+    voice = language_dict.get(language_code, "default_voice")
+
+    rates = "+" + str(rate) + "%" if rate >= 0 else str(rate) + "%"
+    volumes = "+" + str(volume) + "%" if volume >= 0 else str(volume) + "%"
+    pitchs = "+" + str(pitch) + "Hz" if pitch >= 0 else str(pitch) + "Hz"
+
+    communicate = edge_tts.Communicate(
+        text, voice, rate=rates, volume=volumes, pitch=pitchs, proxy=None
+    )
+
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
+        tmp_path = tmp_file.name
+        await communicate.save(tmp_path)
+    return f"Speech synthesis completed for: {text}", tmp_path
+
+
+input_text = gr.Textbox(lines=5, label="Input Text")
+output_text = gr.Textbox(label="Output Text")
+output_audio = gr.Audio(type="filepath", label="Exported Audio")
+language = gr.Dropdown(
+    choices=list(language_dict.keys()), label="Choose the Voice Model"
+)
+rate = gr.Slider(
+    -100, 100, step=1, value=0, label="Rate", info="Rate", interactive=True
+)
+
+volume = gr.Slider(
+    -100, 100, step=1, value=0, label="Volume", info="Volume", interactive=True
+)
+
+pitch = gr.Slider(
+    -100, 100, step=1, value=0, label="Pitch", info="Pitch", interactive=True
+)
+
+
+
+
 iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+iface.launch()