First commit - Use output.wav file

.gitignore

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+.env
+output.wav

flagged/log.csv

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+Text to Speach,Coice your creator,output,flag,username,timestamp
+Hey! Sé que estás buscando algo ,Xavy,,,,2024-04-18 10:12:05.928360

main.py

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+import os
+from dotenv import load_dotenv
+import gradio as gr
+import requests
+import pathlib
+
+
+load_dotenv()
+KEY_ELEVENLABS = os.getenv('ELEVENLABS_KEY')
+print(KEY_ELEVENLABS)
+
+
+def generate_audio(text_input: str, creator: str) -> str:
+    CHUNK_SIZE = 1024
+
+    headers = {
+        "Accept": "application/json",
+        "xi-api-key": KEY_ELEVENLABS
+    }
+
+    voice_id = ''
+
+    match creator:
+        case 'Roomie':
+            voice_id = '2Onew6n5JwT9uEbmTSrO'
+        case 'Xavy':
+            voice_id = 'cYBsY94mzMC7VpGoVMgr'
+        case 'Bella':
+            voice_id = 'X9j5sAaRD6aEgBblOUOG'
+
+    url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream"
+
+    payload = {
+        "text": text_input,
+        "model_id": "eleven_monolingual_v1",
+        "voice_settings": {
+            "stability": 0.5,
+            "similarity_boost": 0.8,
+            "style": 0.0,
+            "use_speaker_boost": False
+        }
+    }
+
+    response = requests.post(url, headers=headers, json=payload, stream=True)
+    print(response)
+    with open('output.wav', 'wb') as f:
+        for chunk in response.iter_content(chunk_size=CHUNK_SIZE):
+            if chunk:
+                f.write(chunk)
+
+    return f'{pathlib.Path().resolve()}\output.mp3'
+
+
+app = gr.Interface(
+    fn=generate_audio,
+    inputs=[gr.Textbox(label='Text to Speach'), gr.Dropdown(
+        ['Roomie', 'Xavy', 'Bella'], label="Coice your creator")],
+    outputs=['audio']
+)
+
+app.launch()