Update text2generation.py

text2generation.py

@@ -1,73 +1,90 @@
 import os
-import openai
-
-# Setup your OpenRouter API key and base
-openai.api_key = os.getenv("OPENROUTER_API_KEY")
-openai.api_base = "https://openrouter.ai/api/v1"
-
-# Optional but recommended: Set headers via environment if needed
-# openai._default_headers.update({
-#     "HTTP-Referer": "https://sreepathi-ravikumar-backendprocess.hf.space",
-#     "X-Title": "Educational AI Assistant"
-# })
+import httpx
 
 def generate_educational_content(question):
     try:
-        # Step 1: Get detailed explanation
-        detailed_response = openai.ChatCompletion.create(
-            model="deepseek/deepseek-chat-v3-0324:free",
-            messages=[{
-                "role": "user",
-                "content": f"""As an expert educator, provide:
-                1. Key Concepts 2. Examples 3. Common Mistakes
-                Question: {question}"""
-            }],
-            temperature=0.7,
-            max_tokens=2000
-        )
-        detailed_answer = detailed_response.choices[0].message.content
+        headers = {
+            "Authorization": f"Bearer {os.getenv('OPENROUTER_API_KEY')}",
+            "Content-Type": "application/json",
+            "HTTP-Referer": "https://sreepathi-ravikumar-backendprocess.hf.space",
+            "X-Title": "Educational AI Assistant"
+        }
+
+        # Step 1: Detailed explanation
+        with httpx.Client(timeout=15.0) as client:
+            detailed_response = client.post(
+                url="https://openrouter.ai/api/v1/chat/completions",
+                headers=headers,
+                json={
+                    "model": "deepseek/deepseek-chat-v3-0324:free",
+                    "messages": [{
+                        "role": "user",
+                        "content": f"""As an expert educator, provide:
+1. Key Concepts  
+2. Examples  
+3. Common Mistakes  
+Question: {question}"""
+                    }],
+                    "temperature": 0.7,
+                    "max_tokens": 2000
+                }
+            )
+        detailed_answer = detailed_response.json()['choices'][0]['message']['content']
 
         # Step 2: Video script
-        video_script = openai.ChatCompletion.create(
-            model="deepseek/deepseek-chat-v3-0324:free",
-            messages=[{
-                "role": "user",
-                "content": f"""Convert this into a video script:
-                {detailed_answer}
-                Format for each scene:
-                [Duration]: 5-8 seconds
-                [Visual]: Detailed description + Pexels keywords
-                [Voiceover]: Exact narration text
-                [Transition]: To next scene"""
-            }],
-            temperature=0.5,
-            max_tokens=1500
-        ).choices[0].message.content
+        with httpx.Client(timeout=15.0) as client:
+            video_response = client.post(
+                url="https://openrouter.ai/api/v1/chat/completions",
+                headers=headers,
+                json={
+                    "model": "deepseek/deepseek-chat-v3-0324:free",
+                    "messages": [{
+                        "role": "user",
+                        "content": f"""Convert this into a video script:\n\n{detailed_answer}\n\nFormat:
+[Duration]: 5–8 sec  
+[Visual]: Description + Pexels keywords  
+[Voiceover]: Narration  
+[Transition]: Next scene"""
+                    }],
+                    "temperature": 0.5,
+                    "max_tokens": 1500
+                }
+            )
+        video_script = video_response.json()['choices'][0]['message']['content']
 
         # Step 3: Audio script
-        audio_script = openai.ChatCompletion.create(
-            model="deepseek/deepseek-chat-v3-0324:free",
-            messages=[{
-                "role": "user",
-                "content": f"""Convert this into engaging narration:
-                {detailed_answer}
-                Style: Friendly tutor (pause between concepts)"""
-            }],
-            temperature=0.8,
-            max_tokens=1000
-        ).choices[0].message.content
+        with httpx.Client(timeout=15.0) as client:
+            audio_response = client.post(
+                url="https://openrouter.ai/api/v1/chat/completions",
+                headers=headers,
+                json={
+                    "model": "deepseek/deepseek-chat-v3-0324:free",
+                    "messages": [{
+                        "role": "user",
+                        "content": f"""Convert this into an engaging narration with a friendly tone:\n\n{detailed_answer}"""
+                    }],
+                    "temperature": 0.8,
+                    "max_tokens": 1000
+                }
+            )
+        audio_script = audio_response.json()['choices'][0]['message']['content']
 
         # Step 4: Summary
-        summary = openai.ChatCompletion.create(
-            model="deepseek/deepseek-chat-v3-0324:free",
-            messages=[{
-                "role": "user",
-                "content": f"""Create a 3-sentence student summary:
-                {detailed_answer}"""
-            }],
-            temperature=0.3,
-            max_tokens=300
-        ).choices[0].message.content
+        with httpx.Client(timeout=15.0) as client:
+            summary_response = client.post(
+                url="https://openrouter.ai/api/v1/chat/completions",
+                headers=headers,
+                json={
+                    "model": "deepseek/deepseek-chat-v3-0324:free",
+                    "messages": [{
+                        "role": "user",
+                        "content": f"""Create a simple 3-sentence student summary:\n\n{detailed_answer}"""
+                    }],
+                    "temperature": 0.3,
+                    "max_tokens": 300
+                }
+            )
+        summary = summary_response.json()['choices'][0]['message']['content']
 
         return {
             "video_script": video_script,