Update app.py

app.py

@@ -14,10 +14,7 @@ try:
     genai.configure(api_key=os.environ["GEMINI_API_KEY"])
     tavily_client = TavilyClient(api_key=os.environ["TAVILY_API_KEY"])
     RUNWAY_API_KEY = os.environ["RUNWAY_API_KEY"]
-    # We don't need to initialize the elevenlabs_client for now
-    # elevenlabs_client = ElevenLabs(api_key=os.environ["ELEVENLABS_API_KEY"])
 except KeyError as e:
-    # We remove ELEVENLABS_API_KEY from the required list for now
     if 'ELEVENLABS_API_KEY' not in str(e):
         raise ValueError(f"API Key Error: Please set the {e} secret in your Hugging Face Space settings.")
 
@@ -63,30 +60,34 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
         except (json.JSONDecodeError, KeyError) as e:
             raise gr.Error(f"Gemini did not return valid JSON. Error: {e}. Response was: {response.text}")
 
-        # !!!!!!!!!!! STEP 3: VOICE OVER (ElevenLabs) - TEMPORARILY DISABLED !!!!!!!!!!!
+        # STEP 3: MOCK VOICE OVER
         progress(0.3, desc="🎙️ MOCKING voiceover to save credits...")
         audio_path = f"audio_{job_id}.mp3"
         intermediate_files.append(audio_path)
-        
-        # --- We now create a silent placeholder audio file instead of calling the API ---
-        # This creates a silent mp3 file with a realistic length based on the script.
-        narration_duration = len(narration.split()) / 2.5 # Rough estimate: 2.5 words per second
+        narration_duration = len(narration.split()) / 2.5
         subprocess.run([
             'ffmpeg', '-f', 'lavfi', '-i', f'anullsrc=r=44100:cl=mono', 
             '-t', str(narration_duration), '-q:a', '9', '-acodec', 'libmp3lame', 
             audio_path, '-y'
         ], check=True)
         print(f"MOCK audio file saved (no credits used): {audio_path}")
-        # !!!!!!!!!!! END OF DISABLED 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}
-            # The POST request goes to the specific /tasks/gen2 endpoint
-            post_response = requests.post(f"{RUNWAY_API_URL}/tasks/gen2", headers=RUNWAY_HEADERS, json=runway_payload)
+            # !!!!!!!!!!! THE FINAL, FINAL, VERIFIED RUNWAY FIX !!!!!!!!!!!
+            # 1. The payload structure is now correct for V2
+            runway_payload = {
+                "task_type": "gen2",
+                "options": {
+                    "text_prompt": scene_prompt
+                }
+            }
+            # 2. The POST request goes to the base /tasks endpoint
+            post_response = requests.post(f"{RUNWAY_API_URL}/tasks", 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}")
@@ -97,7 +98,6 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
 
             video_url = None
             for _ in range(60):
-                # Polling URL is general and correct
                 get_response = requests.get(f"{RUNWAY_API_URL}/tasks/{task_id}", headers=RUNWAY_HEADERS)
                 status_details = get_response.json()
                 status = status_details.get("status")