Update app.py

app.py

@@ -19,7 +19,8 @@ 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 ---
-RUNWAY_API_URL = "https://api.runwayml.com/v1/jobs"
+# !!!!!!!!!!! THE FIRST FIX: Use the correct V2 endpoint !!!!!!!!!!!
+RUNWAY_API_URL = "https://api.runwayml.com/v2/tasks"
 RUNWAY_HEADERS = {
     "Authorization": f"Bearer {RUNWAY_API_KEY}",
     "Content-Type": "application/json"
@@ -35,7 +36,7 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
     try:
         # STEP 1: RESEARCH (Tavily)
         progress(0.1, desc="🔍 Researching topic with Tavily...")
-        facts = "No research data available." # Default value
+        facts = "No research data available."
         try:
             research_results = tavily_client.search(query=f"Key facts and interesting points about {topic_prompt}", search_depth="basic")
             if research_results and 'results' in research_results:
@@ -65,27 +66,22 @@ 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)
         
-        # !!!!!!!!!!! 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="9BWtsMINqrJLrRacOk9x", # Official ID for Adam
+            voice_id="oWAxZDx7w5z9imAaTrzz", # Official ID for Adam
             text=narration,
             model_id="eleven_multilingual_v2" 
         )
-
-        # Write the streamed audio chunks to a file.
         with open(audio_path, "wb") as f:
             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}
-            post_response = requests.post(RUNWAY_API_URL, headers=RUNWAY_HEADERS, json=runway_payload)
+            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}")
             
@@ -95,7 +91,8 @@ def generate_video_from_topic(topic_prompt, progress=gr.Progress(track_tqdm=True
 
             video_url = None
             for _ in range(60):
-                get_response = requests.get(f"{RUNWAY_API_URL}/{task_id}", headers=RUNWAY_HEADERS)
+                # !!!!!!!!!!! THE SECOND FIX: Use the correct V2 polling URL !!!!!!!!!!!
+                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")