failed attempt

app.py

@@ -1,7 +1,62 @@
 import gradio as gr
+from huggingface_hub import InferenceClient
+import tempfile
+import os
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load TTS client
+tts_client = InferenceClient("medmac01/Darija-Arabic-TTS")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Load text generation client
+text_client = InferenceClient("deepseek-ai/DeepSeek-R1-Distill-Qwen-32B")
+
+def generate_conversation(subject, speaker1_audio, speaker2_audio):
+    prompt = f"""
+    Generate a natural Moroccan Darija conversation between two people about: "{subject}".
+    Format:
+    Speaker 1: ...
+    Speaker 2: ...
+    Speaker 1: ...
+    Speaker 2: ...
+    Keep it short and casual (4 lines).
+    """
+
+    result = text_client.text_generation(prompt, max_new_tokens=300, temperature=0.7)
+    lines = [line.strip() for line in result.split('\n') if line.strip().startswith("Speaker")]
+
+    # Generate audio files using TTS
+    audio_paths = []
+    idx = 0
+    for line in lines:
+        audio_path = speaker1_audio if line.startswith("Speaker 1") else speaker2_audio
+        text = line.split(":", 1)[1].strip()
+
+        # Read speaker audio as bytes
+        with open(audio_path, "rb") as f:
+            speaker_audio_bytes = f.read()
+
+        # Create TTS audio
+        audio_bytes = tts_client.text_to_speech(text, voice=speaker_audio_bytes)
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp:
+            tmp.write(audio_bytes)
+            tmp.flush()
+            audio_paths.append(tmp.name)
+            idx += 1
+
+    return audio_paths
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🗣️ Moroccan Darija Conversation Generator")
+    gr.Markdown("Enter a discussion topic and upload 2 speaker voices. We'll generate a Darija conversation!")
+
+    with gr.Row():
+        subject = gr.Textbox(label="Subject of the discussion", placeholder="e.g. Going to the souk")
+    with gr.Row():
+        speaker1 = gr.Audio(label="Speaker 1 Reference (4-5 sec)", type="filepath")
+        speaker2 = gr.Audio(label="Speaker 2 Reference (4-5 sec)", type="filepath")
+
+    btn = gr.Button("🎤 Generate Conversation")
+    outputs = [gr.Audio(label=f"Line {i+1}") for i in range(4)]
+
+    btn.click(generate_conversation, inputs=[subject, speaker1, speaker2], outputs=outputs)
+
+demo.launch()