init

app.py

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+import gradio as gr
+import requests
+import urllib.parse
+import tempfile
+import os
+
+import dwani
+dwani.api_key = os.getenv("DWANI_API_KEY")
+
+dwani.api_base = os.getenv("DWANI_API_BASE_URL")
+
+def text_to_speech(text):
+    # Validate input
+    
+    try:
+        response = dwani.Audio.speech(input=text, response_format="mp3")
+        
+        # Save the audio content to a temporary file
+        with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file:
+            temp_file.write(response)
+            temp_file_path = temp_file.name
+        
+        return temp_file_path
+    except requests.exceptions.RequestException as e:
+        raise ValueError(f"API request failed: {str(e)}")
+    except IOError as e:
+        raise ValueError(f"Failed to save audio file: {str(e)}")
+
+# Create Gradio interface
+with gr.Blocks(title="Text to Speech API Interface") as demo:
+    gr.Markdown("# Text to Speech API Interface")
+    
+    with gr.Row():
+        with gr.Column():
+            # Input components
+            text_input = gr.Textbox(
+                label="Text",
+                placeholder="Enter text to convert to speech",
+                value="ಕರ್ನಾಟಕದ ರಾಜಧಾನಿ ಬೆಂಗಳೂರು."
+            )
+            submit_btn = gr.Button("Generate Speech")
+        
+        with gr.Column():
+            # Output component
+            audio_output = gr.Audio(
+                label="Generated Speech",
+                type="filepath",
+                interactive=False
+            )
+    
+    # Connect the button click to the API function
+    submit_btn.click(
+        fn=text_to_speech,
+        inputs=[text_input],
+        outputs=audio_output
+    )
+
+# Launch the interface
+try:
+    demo.launch(server_name="0.0.0.0", server_port=7860)
+except Exception as e:
+    print(f"Failed to launch Gradio interface: {str(e)}")

requirements.txt

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+gradio
+dwani