Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 import os
 import google.generativeai as genai
-# --- CHANGE 1: Import the new ElevenLabs client ---
 from elevenlabs.client import ElevenLabs
 from tavily import TavilyClient
 import requests
@@ -15,10 +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"]
-    
-    # --- CHANGE 2: Create an instance of the ElevenLabs client ---
     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.")
 
@@ -77,14 +73,16 @@ 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)
         
-        # --- CHANGE 3: Use the client instance to generate audio ---
-        audio_bytes = elevenlabs_client.generate(
+        # !!!!!!!!!!! THIS IS THE CORRECTED LINE !!!!!!!!!!!
+        audio_bytes = elevenlabs_client.generate.from_text(
             text=narration,
-            voice="Adam",
+            voice="Adam", # You can choose any available voice
             model="eleven_multilingual_v2"
         )
+        # Save the audio file
         with open(audio_path, "wb") as f:
-            f.write(audio_bytes)
+            for chunk in audio_bytes:
+                f.write(chunk)
         print(f"Audio file saved: {audio_path}")
 
         # STEP 4: VISUALS (Runway)
@@ -101,7 +99,7 @@ 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):
+            for _ in range(60): # Poll for up to 10 minutes (60 * 10s)
                 get_response = requests.get(f"{RUNWAY_API_URL}/{task_id}", headers=RUNWAY_HEADERS)
                 status_details = get_response.json()
                 status = status_details.get("status")
@@ -125,7 +123,8 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
             video_response = requests.get(video_url, stream=True)
             with open(clip_path, "wb") as f:
                 for chunk in video_response.iter_content(chunk_size=1024):
-                    f.write(chunk)
+                    if chunk:
+                        f.write(chunk)
             print(f"Video clip saved: {clip_path}")
 
         # STEP 5: STITCHING (FFmpeg)