Update app.py

app.py

@@ -126,16 +126,19 @@ def fetch_crawl_results(query):
     references = fetch_references(query)
     return references[0], references[1], references[2]
 
-def generate_blog_post(query, prompt_template, temperature, top_p, frequency_penalty, presence_penalty):
+def generate_blog_post(query, prompt_template):
     try:
         # 참고글 크롤링
         references = fetch_references(query)
         ref1, ref2, ref3 = references
 
         combined_content = f"참고글1:\n{ref1}\n\n참고글2:\n{ref2}\n\n참고글3:\n{ref3}"
+
+        # 랜덤 시드 생성
+        random_seed = random.randint(1, 100000)
         
-        full_prompt = f"주제: {query}\n\n참고 내용:\n{combined_content}"
-        
+        full_prompt = f"주제: {query}\n\n{prompt_template}\n\n참고 내용:\n{combined_content}"
+
         response = openai.ChatCompletion.create(
             model="gpt-4o-mini",
             messages=[
@@ -143,17 +146,14 @@ def generate_blog_post(query, prompt_template, temperature, top_p, frequency_pen
                 {"role": "user", "content": full_prompt}
             ],
             max_tokens=10000,
-            temperature=temperature,
-            top_p=top_p,
-            frequency_penalty=frequency_penalty,
-            presence_penalty=presence_penalty,
-            seed=random.randint(1, 2**32 - 1)
+            temperature=0.75,
+            top_p=1.0,
+            frequency_penalty=0.5,
+            presence_penalty=0.3,
+            seed=random_seed
         )
         
-        generated_content = response.choices[0].message['content']
-        final_content = f"주제: {query}\n\n{generated_content}"
-        
-        return final_content, ref1, ref2, ref3
+        return f"주제: {query}\n\n{response.choices[0].message['content']}", ref1, ref2, ref3
     except Exception as e:
         return f"블로그 글 생성 중 오류 발생: {str(e)}", "", "", ""
 
@@ -259,14 +259,7 @@ with gr.Blocks() as iface:
     
     generate_button.click(
         generate_blog_post,
-        inputs=[
-            query_input,
-            prompt_input,
-            temperature_input,
-            top_p_input,
-            frequency_penalty_input,
-            presence_penalty_input
-        ],
+        inputs=[query_input, prompt_input],
         outputs=[output_text, ref1_text, ref2_text, ref3_text],
         show_progress=True
     )