Update app.py

app.py

@@ -19,7 +19,6 @@ except KeyError as e:
     raise ValueError(f"API Key Error: Please set the {e} secret in your Hugging Face Space settings.")
 
 # --- 2. DEFINE API ENDPOINTS AND HEADERS ---
-# FIX #1: Use the correct V2 endpoint for Runway
 RUNWAY_API_URL = "https://api.runwayml.com/v2/tasks"
 RUNWAY_HEADERS = {
     "Authorization": f"Bearer {RUNWAY_API_KEY}",
@@ -66,9 +65,10 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
         audio_path = f"audio_{job_id}.mp3"
         intermediate_files.append(audio_path)
         
-        # FIX #2: Use the official Voice ID for "Adam"
+        # !!!!!!!!!!! THE FINAL, FINAL FIX !!!!!!!!!!!
+        # We are using the official Voice ID for "Rachel".
         response = elevenlabs_client.text_to_speech.convert(
-            voice_id="oWAxZDx7w5z9imAaTrzz", # Official ID for Adam
+            voice_id="21m00Tcm4TlvDq8ikA", # Official ID for Rachel
             text=narration,
             model_id="eleven_multilingual_v2" 
         )
@@ -77,13 +77,13 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
             for chunk in response:
                 f.write(chunk)
         print(f"Audio file saved: {audio_path}")
+        # !!!!!!!!!!! END OF CORRECTED SECTION !!!!!!!!!!!
 
         # STEP 4: VISUALS (Runway)
         video_clip_paths = []
         for i, scene_prompt in enumerate(scene_prompts):
             progress(0.4 + (i * 0.12), desc=f"🎬 Generating video scene {i+1}/{len(scene_prompts)}...")
             runway_payload = {"text_prompt": scene_prompt}
-            # Use the correct V2 endpoint for starting a job
             post_response = requests.post(f"{RUNWAY_API_URL}/text-to-video", headers=RUNWAY_HEADERS, json=runway_payload)
             if post_response.status_code != 200:
                 raise gr.Error(f"Runway API Error (start job): {post_response.status_code} - {post_response.text}")
@@ -94,7 +94,6 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
 
             video_url = None
             for _ in range(60):
-                # Use the correct V2 endpoint for polling
                 get_response = requests.get(f"https://api.runwayml.com/v2/tasks/{task_id}", headers=RUNWAY_HEADERS)
                 status_details = get_response.json()
                 status = status_details.get("status")