Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import os
 import google.generativeai as genai
-from elevenlabs.client import ElevenLabs
+# from elevenlabs.client import ElevenLabs # Temporarily disabled
 from tavily import TavilyClient
 import requests
 import subprocess
@@ -14,9 +14,12 @@ 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"]
-    elevenlabs_client = ElevenLabs(api_key=os.environ["ELEVENLABS_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:
-    raise ValueError(f"API Key Error: Please set the {e} secret in your Hugging Face Space settings.")
+    # 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.")
 
 # --- 2. DEFINE API ENDPOINTS AND HEADERS ---
 RUNWAY_API_URL = "https://api.runwayml.com/v2" 
@@ -60,31 +63,30 @@ 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)
-        progress(0.3, desc="🎙️ Recording voiceover with ElevenLabs...")
+        # !!!!!!!!!!! STEP 3: VOICE OVER (ElevenLabs) - TEMPORARILY DISABLED !!!!!!!!!!!
+        progress(0.3, desc="🎙️ MOCKING voiceover to save credits...")
         audio_path = f"audio_{job_id}.mp3"
         intermediate_files.append(audio_path)
         
-        response = elevenlabs_client.text_to_speech.convert(
-            voice_id="Xb7hH8MSUJpSbSDYk0k2", # Your personal Voice ID for Aria
-            text=narration,
-            model_id="eleven_multilingual_v2" 
-        )
-        with open(audio_path, "wb") as f:
-            for chunk in response:
-                f.write(chunk)
-        print(f"Audio file saved: {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
+        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)}...")
             
-            # !!!!!!!!!!! THE FINAL, VERIFIED RUNWAY FIX V2 !!!!!!!!!!!
             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)
-            # !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
 
             if post_response.status_code != 200:
                 raise gr.Error(f"Runway API Error (start job): {post_response.status_code} - {post_response.text}")