进一步简化选择角色的任务，强制穿衣服，更新英文版

src/views/home/index.vue

@@ -20,6 +20,7 @@ const form = reactive({
   chatgpt_prompt: "",
   chatgpt_answer: "",
   chatgpt_answer_roles: <Wm.RolesItem[]>[],
+  all_roles: "",
   adapt_result_json: <Wm.ScriptsItem[]>[],
   task_id: "",
   final_video: "",
@@ -82,10 +83,10 @@ const onAdaptRoles = async () => {
     const adapt_restrict = `
     指令：
     请理解这个故事，给出这个故事中的所有角色，多个角色以逗号分隔`;
-    let roles = await text2videoService.submitGpt("故事：\n" + form.chatgpt_answer + "\n" + adapt_restrict, role_llm);
-    roles = roles.replace(/。/g, '').replace(/、/g, ',')
-    console.log(roles)
-    const roles_arr = roles.split(/[，,]/);
+    const roles = await text2videoService.submitGpt("故事：\n" + form.chatgpt_answer + "\n" + adapt_restrict, role_llm);
+    form.all_roles = roles.replace(/。/g, '').replace(/、/g, ',')
+    console.log(form.all_roles)
+    const roles_arr = form.all_roles.split(/[，,]/);
     console.log(roles_arr)
 
     async function processRoles() {
@@ -99,7 +100,7 @@ const onAdaptRoles = async () => {
         要求：
         关键词以逗号分隔。
         只要返回关键词，不需要其他的说明文字。`;
-        let keywords = await text2videoService.submitGpt(form.chatgpt_answer + "\n" + adapt_keyword_restrict, role_keywords_llm);
+        let keywords = await text2videoService.submitGpt("故事：\n" + form.chatgpt_answer + "\n" + adapt_keyword_restrict, role_keywords_llm);
         keywords = keywords.replace(/。/g, '').replace(/、/g, ',')
         form.chatgpt_answer_roles.push({
           "角色": one_role.trim(),
@@ -210,7 +211,7 @@ const onAdaptOne = async (item: any) => {
     const adapt_role_restrict = `
     指令：
     请理解这个故事，针对其中的这个场景：“${item.场景描述}”，从所有角色中选择本场景的角色，多个角色以逗号分隔。`;
-    const item_roles = await text2videoService.submitGpt("故事：\n" + form.chatgpt_answer + "\n所有角色：\n"+ JSON.stringify(form.chatgpt_answer_roles)+"\n" + adapt_role_restrict, tuili_llm);
+    const item_roles = await text2videoService.submitGpt("故事：\n" + form.chatgpt_answer + "\n所有角色：\n"+ form.all_roles +"\n" + adapt_role_restrict, tuili_llm);
     // console.log(role_keywords)
     if (form.chatgpt_answer_roles.length === 0) {
       // 总角色为空

src/views/home/index_en.vue

@@ -20,6 +20,7 @@ const form = reactive({
   chatgpt_prompt: "",
   chatgpt_answer: "",
   chatgpt_answer_roles: <Wm.RolesItem[]>[],
+  all_roles: "",
   adapt_result_json: <Wm.ScriptsItem[]>[],
   task_id: "",
   final_video: "",
@@ -82,10 +83,10 @@ const onAdaptRoles = async () => {
     const adapt_restrict = `
     Instructions:
     Please understand this story and provide all the characters in it, with multiple characters separated by commas`;
-    let roles = await text2videoService.submitGpt("story:\n" + form.chatgpt_answer + "\n" + adapt_restrict, role_llm);
-    roles = roles.replace(/。/g, '').replace(/、/g, ',')
-    console.log(roles)
-    const roles_arr = roles.split(/[，,]/);
+    const roles = await text2videoService.submitGpt("story:\n" + form.chatgpt_answer + "\n" + adapt_restrict, role_llm);
+    form.all_roles = roles.replace(/。/g, '').replace(/、/g, ',')
+    console.log(form.all_roles)
+    const roles_arr = form.all_roles.split(/[，,]/);
     console.log(roles_arr)
 
     async function processRoles() {
@@ -99,7 +100,7 @@ const onAdaptRoles = async () => {
         Requirement:
         Keywords are separated by commas.
         As long as the keyword is returned, no additional explanatory text is required.`;
-        let keywords = await text2videoService.submitGpt(form.chatgpt_answer + "\n" + adapt_keyword_restrict, role_keywords_llm);
+        let keywords = await text2videoService.submitGpt("story:\n" + form.chatgpt_answer + "\n" + adapt_keyword_restrict, role_keywords_llm);
         keywords = keywords.replace(/。/g, '').replace(/、/g, ',')
         form.chatgpt_answer_roles.push({
           "角色": one_role.trim(),
@@ -209,8 +210,8 @@ const onAdaptOne = async (item: any) => {
 
     const adapt_role_restrict = `
     Instructions:
-    Please understand this story and for the scene: "${item.场景描述}", select the character in this scene from all the characters, with multiple characters separated by commas.`;
-    const item_roles = await text2videoService.submitGpt("story:\n" + form.chatgpt_answer + "\n all the characters: \n"+ JSON.stringify(form.chatgpt_answer_roles)+"\n" + adapt_role_restrict, tuili_llm);
+    Please understand this story and for the scene: "${item.场景描述}", select the character in this scene from characters, with multiple characters separated by commas.`;
+    const item_roles = await text2videoService.submitGpt("story:\n" + form.chatgpt_answer + "\ncharacters:\n"+ form.all_roles +"\n" + adapt_role_restrict, tuili_llm);
     // console.log(role_keywords)
     if (form.chatgpt_answer_roles.length === 0) {
       // 总角色为空
@@ -412,7 +413,7 @@ const handleExceed: UploadProps['onExceed'] = (files) => {
       <el-form-item>
         <div>
           <el-radio-group v-model="form.screen" @change="onChangeScreen">
-            <!-- <el-radio label="横屏" size="large" border/> -->
+            <el-radio label="横屏" size="large" border/>
             <el-radio label="竖屏" size="large" border/>
           </el-radio-group>
         </div>
@@ -421,12 +422,12 @@ const handleExceed: UploadProps['onExceed'] = (files) => {
         <el-button type="success" @click="clean_demo">清除所有数据</el-button>
       </el-form-item>
       <!-- Prompt到文案 -->
-      <!-- <el-form-item label="Prompt">
+      <el-form-item label="Prompt">
         <el-input v-model="form.chatgpt_prompt" :autosize="true" type="textarea" />
       </el-form-item>
       <el-form-item>
         <el-button type="primary" @click="onSubmitGpt">生成文案（{{wenan_llm_name}}）</el-button>
-      </el-form-item> -->
+      </el-form-item>
       <el-form-item label="文案">
         <el-input v-model="form.chatgpt_answer" :autosize="true" type="textarea" />
       </el-form-item>