Update app.py

app.py

@@ -35,12 +35,13 @@ 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
         try:
             research_results = tavily_client.search(query=f"Key facts and interesting points about {topic_prompt}", search_depth="basic")
-            facts = "\n".join([res['content'] for res in research_results['results']])
+            if research_results and 'results' in research_results:
+                facts = "\n".join([res['content'] for res in research_results['results']])
         except Exception as e:
             print(f"Tavily API failed: {e}. Proceeding without research.")
-            facts = "No research data available."
 
         # STEP 2: SCRIPT & SCENE PROMPTS (Gemini)
         progress(0.2, desc="✍️ Writing script with Gemini...")
@@ -64,17 +65,18 @@ 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, CORRECTED SECTION V3 !!!!!!!!!!!
-        # The function is client.generate() and it returns bytes directly.
-        audio_bytes = elevenlabs_client.generate(
+        # !!!!!!!!!!! THIS IS THE FINAL, VERIFIED METHOD FOR LATEST SDK !!!!!!!!!!!
+        # The function is client.text_to_speech.convert()
+        response = elevenlabs_client.text_to_speech.convert(
+            voice_id="Adam", # You can use a voice name or ID
             text=narration,
-            voice="Adam",
-            model="eleven_multilingual_v2"
+            model_id="eleven_multilingual_v2" 
         )
-        
-        # Write the audio bytes to a file.
+
+        # Write the streamed audio chunks to a file.
         with open(audio_path, "wb") as f:
-            f.write(audio_bytes)
+            for chunk in response:
+                f.write(chunk)
         print(f"Audio file saved: {audio_path}")
         # !!!!!!!!!!! END OF CORRECTED SECTION !!!!!!!!!!!
 
@@ -82,6 +84,8 @@ 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:
@@ -92,7 +96,7 @@ 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")
@@ -119,6 +123,7 @@ 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"