Update app.py

app.py

@@ -7,15 +7,14 @@ import requests
 import gradio as gr
 from dotenv import load_dotenv
 
-# Load local .env when developing locally (ignored in Spaces)
+# Load .env for local use (Hugging Face Spaces ignores if not present)
 load_dotenv()
 
+# --- Configuration ---
 GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
 GROQ_TTS_ENDPOINT = "https://api.groq.com/openai/v1/audio/speech"
-
 DEFAULT_MODEL = "playai-tts"
 
-# Simple list of example voices — you can replace or extend these with names from your Groq account.
 EXAMPLE_VOICES = [
     "Fritz-PlayAI",
     "Emma-PlayAI",
@@ -24,9 +23,9 @@ EXAMPLE_VOICES = [
 
 
 def synthesize_text(text: str, voice: str = None, model: str = DEFAULT_MODEL, response_format: str = "wav"):
-    """Call Groq TTS and write audio to a temporary file. Returns path to file or an error message."""
+    """Call Groq TTS and return path to temporary audio file."""
     if not GROQ_API_KEY:
-        return None, "Missing GROQ_API_KEY environment variable. Set it in your environment or in Hugging Face Secrets."
+        return None, "Missing GROQ_API_KEY environment variable. Add it in your Hugging Face Space Secrets."
 
     if not text or text.strip() == "":
         return None, "Please provide some text to synthesize."
@@ -38,3 +37,55 @@ def synthesize_text(text: str, voice: str = None, model: str = DEFAULT_MODEL, re
     }
     if voice:
         payload["voice"] = voice
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+    }
+
+    try:
+        resp = requests.post(GROQ_TTS_ENDPOINT, json=payload, headers=headers, stream=True, timeout=60)
+    except Exception as e:
+        return None, f"Request failed: {e}"
+
+    if resp.status_code != 200:
+        try:
+            detail = resp.json()
+        except Exception:
+            detail = resp.text
+        return None, f"Groq API error ({resp.status_code}): {detail}"
+
+    suffix = ".wav" if response_format == "wav" else ".mp3"
+    tmp = tempfile.NamedTemporaryFile(delete=False, suffix=suffix)
+    for chunk in resp.iter_content(chunk_size=8192):
+        if chunk:
+            tmp.write(chunk)
+    tmp.flush()
+    tmp.close()
+
+    return tmp.name, "Synthesis successful!"
+
+
+with gr.Blocks(title="GroqCloud TTS — Hugging Face Space") as demo:
+    gr.Markdown("# 🎙️ GroqCloud Text-to-Speech\nConvert your text to natural speech using Groq TTS API.")
+
+    with gr.Row():
+        with gr.Column(scale=3):
+            txt = gr.Textbox(lines=6, label="Text", placeholder="Enter text here...")
+            voice = gr.Dropdown(EXAMPLE_VOICES, label="Voice", value=EXAMPLE_VOICES[0])
+            resp_format = gr.Radio(["wav", "mp3"], value="wav", label="Output format")
+            synth_btn = gr.Button("🔊 Synthesize")
+            status = gr.Textbox(label="Status", interactive=False)
+
+        with gr.Column(scale=2):
+            audio_out = gr.Audio(label="Generated Audio", type="filepath")
+
+    def on_synthesize(text, voice, response_format):
+        path, msg = synthesize_text(text, voice, DEFAULT_MODEL, response_format)
+        return path, msg
+
+    synth_btn.click(on_synthesize, inputs=[txt, voice, resp_format], outputs=[audio_out, status])
+
+# ✅ Important: launch the app!
+if __name__ == "__main__":
+    demo.launch()