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| import gradio as gr | |
| import requests | |
| import logging | |
| import json | |
| # Configure logging | |
| logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') | |
| logger = logging.getLogger(__name__) | |
| # Load the JSON file containing use cases | |
| with open("voice_description_indian.json", "r") as file: | |
| usecases = json.load(file) | |
| # Function to send text input to the API and retrieve the audio file | |
| def get_audio(input_text, usecase_id): | |
| try: | |
| # Find the corresponding use case by ID | |
| usecase = next((uc for uc in usecases["usecases"] if uc["id"] == usecase_id), None) | |
| if not usecase: | |
| return f"Error: Use case with ID {usecase_id} not found." | |
| voice_description = usecase["voice_description"] | |
| logger.info(f"Voice Description: {voice_description}") | |
| logger.info(f"Input Text: {input_text}") | |
| # Define the API endpoint and headers | |
| url = "https://gaganyatri-llm-indic-server-cpu.hf.space/v1/audio/speech" | |
| headers = { | |
| "X-API-Key": "your-new-secret-api-key", | |
| "Content-Type": "application/json" | |
| } | |
| # Define the request payload | |
| payload = { | |
| "input": input_text, | |
| "voice": voice_description, | |
| "model": "ai4bharat/indic-parler-tts", | |
| "response_format": "mp3", | |
| "speed": 1.0 | |
| } | |
| # Send the POST request | |
| response = requests.post(url, json=payload, headers=headers, stream=True) | |
| # Check if the request was successful | |
| if response.status_code == 200: | |
| logger.info(f"API request successful. Status code: {response.status_code}") | |
| # Save the audio file | |
| audio_file_path = usecase["output_filename"] | |
| with open(audio_file_path, "wb") as audio_file: | |
| for chunk in response.iter_content(chunk_size=1024): | |
| if chunk: | |
| audio_file.write(chunk) | |
| logger.info(f"Audio file saved to: {audio_file_path}") | |
| # Return the path to the saved audio file | |
| return audio_file_path | |
| else: | |
| logger.error(f"API request failed. Status code: {response.status_code}, {response.text}") | |
| return f"Error: {response.status_code}, {response.text}" | |
| except requests.exceptions.RequestException as e: | |
| logger.error(f"Request exception: {e}") | |
| return f"Request error: {e}" | |
| except Exception as e: | |
| logger.error(f"General exception: {e}") | |
| return f"Error: {e}" | |
| # Define Gradio interface inputs and outputs | |
| demo = gr.Interface( | |
| fn=get_audio, | |
| inputs=[ | |
| gr.Textbox(label="Enter Text", placeholder="Type your text here..."), | |
| gr.Dropdown( | |
| label="Select Use Case", | |
| choices=[f"{uc['id']}: {uc['voice_description']}" for uc in usecases["usecases"]], | |
| type="index" | |
| ) | |
| ], | |
| outputs=gr.Audio(label="Generated Audio"), | |
| ) | |
| # Launch the Gradio demo | |
| try: | |
| demo.launch() | |
| except Exception as e: | |
| logger.error(f"Failed to launch Gradio demo: {e}") | |