Update app.py

app.py

@@ -65,10 +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)
         
-        # !!!!!!!!!!! THIS IS THE FINAL, VERIFIED METHOD FOR LATEST SDK !!!!!!!!!!!
-        # The function is client.text_to_speech.convert()
+        # !!!!!!!!!!! THE FINAL FIX !!!!!!!!!!!
+        # We now use the official Voice ID for "Adam" instead of the name.
         response = elevenlabs_client.text_to_speech.convert(
-            voice_id="Adam", # You can use a voice name or ID
+            voice_id="oWAxZDx7w5z9imAaTrzz", # Official ID for Adam
             text=narration,
             model_id="eleven_multilingual_v2" 
         )
@@ -84,8 +84,6 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
         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)}...")
-            # ... [Rest of the Runway code remains the same] ...
-            # ... This part is complex but was not the source of the error ...
             runway_payload = {"text_prompt": scene_prompt}
             post_response = requests.post(RUNWAY_API_URL, headers=RUNWAY_HEADERS, json=runway_payload)
             if post_response.status_code != 200:
@@ -96,7 +94,7 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
                 raise gr.Error(f"Runway API did not return a task UUID. Response: {post_response.json()}")
 
             video_url = None
-            for _ in range(60): # Poll for up to 10 minutes (60 * 10s)
+            for _ in range(60):
                 get_response = requests.get(f"{RUNWAY_API_URL}/{task_id}", headers=RUNWAY_HEADERS)
                 status_details = get_response.json()
                 status = status_details.get("status")
@@ -123,7 +121,6 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
                     if chunk: f.write(chunk)
             print(f"Video clip saved: {clip_path}")
 
-
         # STEP 5: STITCHING (FFmpeg)
         progress(0.9, desc="✂️ Assembling final video with FFmpeg...")
         file_list_path = f"file_list_{job_id}.txt"